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Search Results (979)

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17 pages, 15342 KiB  
Article
Experimental Study on the Mechanical Properties of Reactive Powder Concrete Ultra-Thin Precast Slab for Bridge I-Beam Joints
by Jinling Lan, Jinxin Dai, Buyu Jia, Quansheng Yan and Zheng Yang
Buildings 2024, 14(12), 3977; https://doi.org/10.3390/buildings14123977 (registering DOI) - 14 Dec 2024
Abstract
In the domain of bridge I-beam joint construction, conventional approaches such as cast-in-place concrete with suspended formwork and ordinary reinforced concrete precast slabs entail numerous limitations. The former features complex procedures, elevated costs, and significant safety risks, while the latter is hindered by [...] Read more.
In the domain of bridge I-beam joint construction, conventional approaches such as cast-in-place concrete with suspended formwork and ordinary reinforced concrete precast slabs entail numerous limitations. The former features complex procedures, elevated costs, and significant safety risks, while the latter is hindered by the heavy weight of precast slabs, which causes difficulties in transportation and hoisting, inconvenient installation, and high costs. Reactive powder concrete ultra-thin precast slab (RPCUPS) is regarded as a potential solution due to its superior properties. Nevertheless, at present, there is an acute paucity of experience and research regarding the application of RPCUPS in bridge I-beam joints, particularly on a large scale. In a certain actual engineering project, a scheme was proposed to employ RPCUPS with a mere thickness of 20 mm in the bridge I-beam joints. In this scheme, the quantity of slabs is substantial, amounting to over 600,000. This constitutes the research gap and impetus of this study, with the aim of filling the existing knowledge void and providing technical support for engineering endeavors. This research carried out an extensive experimental test to systematically investigate the mechanical properties and safety of RPCUPS. Firstly, the material performance experiments were conducted to determine the manufacturing process of RPCUPS that meets the performance requirements. Subsequently, loading experiments on specimens under multiple working conditions were performed to disclose the cracking load and ultimate load of the two main types of RPCUPS and to analyze the influences of fiber type, mixing type, steel mesh, and slab thickness on the mechanical properties of RPCUPS (keeps the same volume rate of steel in a slab). Key findings encompass the outstanding mechanical properties and high safety factors of RPCUPS under diverse working conditions. Finally, in light of the actual construction environment, safety verification of temporary loading during actual construction was executed to furnish solid technical support for the practical engineering application of RPCUPS. The experimental results indicate that RPCUPS has been successfully applied on a large scale in actual engineering projects, not only without augmenting the cost but also significantly reducing the construction period by approximately five months, conspicuously enhancing the construction efficiency. These discoveries not only validate the feasibility of RPCUPS in bridge I-beam joint construction but also offer valuable references and guidance for similar future projects. Full article
(This article belongs to the Section Building Structures)
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Figure 1
<p>Traditional technique for the joint between bridge I-beams.</p>
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<p>Schematic diagram of joint of I-beam.</p>
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<p>Reactive powder concrete ultra-thin precast slab (the circled items are precast slabs).</p>
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<p>Expansibility testing procedure.</p>
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<p>Fiber types. (<b>a</b>) long fiber (20–22 mm length); (<b>b</b>) short fiber (12–14 mm length); (<b>c</b>) end hooked fiber (16–18 mm length).</p>
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<p>Strength tests.</p>
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<p>Loading test.</p>
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<p>Loading test. (<b>a</b>) W650-H20-C140-S2; (<b>b</b>) W650-H20-C140-L2; (<b>c</b>) W650-H20-C140-J2; (<b>d</b>) W650-H20-C140-S1&amp;L1; (<b>e</b>) W650-H20-C140-S1&amp;J1; (<b>f</b>) W650-H20-C140-S1&amp;B1; (<b>g</b>) W650-H20-C140-L1&amp;G; (<b>h</b>) W650-H18-C140-S2.</p>
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<p>Comparison of experimental mechanical properties of W650-C140.</p>
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<p>Loading test results of W1200-C160. (<b>a</b>) W1200-H20-C140-S2; (<b>b</b>) W1200-H20-C140-L2; (<b>c</b>) W1200-H20-C140-J2; (<b>d</b>) W1200-H20-C140-S1&amp;L1; (<b>e</b>) W650-H20-C140-S1&amp;J1.</p>
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<p>Comparison of experimental mechanical properties of W1200-C160.</p>
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<p>Cracking and ultimate safety factors of W650-C140 and W1200-C160.</p>
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18 pages, 6621 KiB  
Article
The Buckling Behavior and Reliability Evaluation of a Cable-Stayed Bridge with Unique-Shaped Towers
by Yaoxiang Jia, Rujin Ma, Xiaoyu Zhou and Benjin Wang
Materials 2024, 17(24), 6124; https://doi.org/10.3390/ma17246124 (registering DOI) - 14 Dec 2024
Abstract
Buckling is a significant concern for cable-stayed bridges that incorporate a large number of steel components, particularly those featuring unique-shaped towers that require further examination due to the intricate internal force and stress distribution. This paper investigates the buckling behavior of a cable-stayed [...] Read more.
Buckling is a significant concern for cable-stayed bridges that incorporate a large number of steel components, particularly those featuring unique-shaped towers that require further examination due to the intricate internal force and stress distribution. This paper investigates the buckling behavior of a cable-stayed bridge with inverted V-shaped towers. The cable tower is characterized by its unique design that consists of diagonal bracings and columns in a compression-bending state. A finite element model is established for the nonlinear buckling analysis of the bridge, revealing that the buckling failure mode of the bridge mainly concerns the tower columns that bear large bending moments and axial compressions. The buckling safety factors are analyzed under different loading conditions and design parameters, including the stiffening rib thickness, the width-to-thickness ratio, and the initial cable forces. It indicates that the design optimization can be achieved by using smaller and thinner ribs while maintaining the buckling safety factor above the required level in design specifications. Furthermore, the reliability evaluation of buckling safety is considered using Monte Carlo simulations, which incorporates the long-term effects of corrosion on steel components. Based on the identified buckling failure modes and safety factors, it suggests that the buckling resistance of the bridge is sufficient, though it can be further enhanced by using high-strength weathering steel on critical parts. Additionally, maintenance interventions are shown to be highly beneficial in improving the life-cycle performance of the structure. Full article
(This article belongs to the Section Construction and Building Materials)
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Figure 1
<p>The details of the bridge structure (units: mm).</p>
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<p>Full and local model of FEM: (<b>a</b>) Global model and sub-model; (<b>b</b>) Mesh of the sub-model; (<b>c</b>) Boundary conditions.</p>
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<p>Ideal elastic–plastic constitutive model of Q345 steel.</p>
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<p>The dead load and live load on the bridge.</p>
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<p>Eigenvalue buckling deformation.</p>
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<p>(<b>a</b>) The displacement of the buckling point on the tower column of Case 1; (<b>b</b>) The displacement of the buckling point on the tower column of Case 2.</p>
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<p>Von Mises stresses of the bridge tower under dead loads.</p>
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<p>Von Mises stresses on the sub-model during the buckling (Case 1): (<b>a</b>) Load factor 5.75; (<b>b</b>) Load factor 8.25; (<b>c</b>) Load factor 14.19; (<b>d</b>) Load factor 20.13.</p>
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<p>The displacement of the buckling point on the sub-model (Case 1).</p>
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<p>Von Mises stresses on the sub-model during the buckling (Case 2): (<b>a</b>) Load factor 0.2; (<b>b</b>) Load factor 1.825; (<b>c</b>) Load factor 2.837; (<b>d</b>) Load factor 3.69.</p>
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<p>Displacement of the buckling point on the sub-model (Case 2).</p>
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<p>The effect of stiffening rib thickness with respect to load factor: (<b>a</b>) the load factor of Case 1; (<b>b</b>) the load factor of Case 2.</p>
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<p>The effect of the width–thickness ratio of stiffening ribs with respect to load factor: (<b>a</b>) the load factor of Case 1; (<b>b</b>) the load factor of Case 2.</p>
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<p>Effect of initial cable forces on load factor.</p>
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<p>Buckling safety factors by Monte Carlo simulations (<math display="inline"><semantics> <mrow> <msub> <mrow> <mi>t</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> </mrow> </semantics></math> = 10 mm at 10 years).</p>
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<p>Critical load factors for different service periods for Case 1.</p>
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<p>Buckling safety factor for different service periods for Case 2.</p>
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17 pages, 8621 KiB  
Article
The Protection of RC Columns by Bio-Inspired Honeycomb Column Thin-Walled Structure (BHTS) Under Impact Load
by Shijie Wang, Hongxiang Xia, Yuncui Zong, Jianjun Liang and Ripeng Zhu
Biomimetics 2024, 9(12), 759; https://doi.org/10.3390/biomimetics9120759 - 13 Dec 2024
Viewed by 298
Abstract
The bio-inspired honeycomb column thin-walled structure (BHTS) is inspired by the biological structure of beetle elytra and designed as a lightweight buffer interlayer to prevent damage to the reinforced concrete bridge pier (RCBP) under the overload impact from vehicle impact. According to the [...] Read more.
The bio-inspired honeycomb column thin-walled structure (BHTS) is inspired by the biological structure of beetle elytra and designed as a lightweight buffer interlayer to prevent damage to the reinforced concrete bridge pier (RCBP) under the overload impact from vehicle impact. According to the prototype structure of the pier, a batch of scale models with a scaling factor of 1:10 was produced. The BHTS buffer interlayer was installed on the reinforced concrete (RC) column specimen to carry out the steel ball impact test. Then, the modified numerical model was subjected to the low-energy input impact test of the steel ball without energy loss during the falling process at the equivalent height of 1.0–3.5 m, and the dynamic response characteristics of the RC column were analyzed. By comparing the impact force and impact duration, maximum displacement, and residual displacement in the impact model, the BHTS buffer interlayer’s protective effect on RC columns under lower energy lateral impact was evaluated. Later, a high-energy input lateral impact test of a steel ball falling at an equivalent height of 20.0 m was carried out. According to the material damage, dynamic response, and energy absorption characteristics in the impact model, the failure process of the RC columns was analyzed. The results showed that BHTS absorbed 82.33% of the impact kinetic energy and reduced 77.27% of the impact force, 86.51% of the inertia force, and 64.86% of the base shear force under the failure mode of a 20 m impact condition. It can transform the shear failure of the RC column into bending failure and play an effective protective role for the RC column. This study can provide useful references for collision prevention design in practical engineering. Full article
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Figure 1
<p>(<b>a</b>) Three-dimensional schematic of the bridge pier featuring the superstructures. (<b>b</b>) Bridge pier specimens.</p>
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<p>Horizontal collision device.</p>
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<p>Impact test design: (<b>a</b>) BHTS geometry; (<b>b</b>) BHTS-RC column impact diagram.</p>
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<p>FEM of pier specimen: (<b>a</b>) RC column; (<b>b</b>) BHTS-RC column; (<b>c</b>) BHTS buffer interlayer.</p>
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<p>Comparison of failure phenomenon between test column and FEM: (<b>a</b>) impact front of RC column; (<b>b</b>) impact back of RC column; (<b>c</b>) impact front of BHTS-RC column; (<b>d</b>) impact back of BHTS-RC column.</p>
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<p>Comparison of test results: (<b>a</b>) RC column; (<b>b</b>) BHTS-RC column.</p>
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<p>Comparison of failure phenomena of RC and BHTS-RC column under impact of steel balls at different heights: (<b>a</b>) 1.0 m; (<b>b</b>) 1.5 m; (<b>c</b>) 2.0 m; (<b>d</b>) 2.5 m; (<b>e</b>) 3.0 m; (<b>f</b>) 3.5 m.</p>
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<p>Deformation of BHTS at different impact heights: (<b>a</b>) 1.0 m; (<b>b</b>) 1.5 m; (<b>c</b>) 2.0 m; (<b>d</b>) 2.5 m; (<b>e</b>) 3.0 m; (<b>f</b>) 3.5 m.</p>
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<p>Time history curve of impact force: (<b>a</b>) RC column; (<b>b</b>) BHTS-RC column.</p>
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<p>Comparison of impact force and impact time history: (<b>a</b>) impact force; (<b>b</b>) impact time history.</p>
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<p>Comparison of maximum and residual displacement: (<b>a</b>) maximum displacement; (<b>b</b>) residual displacement.</p>
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<p>Development process of RC column concrete damage: (<b>a</b>) 5.3 ms; (<b>b</b>) 6.0 ms; (<b>c</b>) 7.0 ms; (<b>d</b>) 8.1 ms; (<b>e</b>) 8.5 ms; (<b>f</b>) 12 ms; (<b>g</b>) 35 ms; (<b>h</b>) 100 ms.</p>
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<p>Development process of BHTS-RC column concrete damage: (<b>a</b>) 5.4 ms; (<b>b</b>) 6.0 ms; (<b>c</b>) 7.0 ms; (<b>d</b>) 8.0 ms; (<b>e</b>) 8.5 ms; (<b>f</b>) 12 ms; (<b>g</b>) 35 ms; (<b>h</b>) 100 ms.</p>
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<p>Development process of RC column concrete damage: (<b>a</b>) position diagram of shear failure observation unit; (<b>b</b>) position diagram of bending failure observation unit.</p>
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<p>Maximum principal stress of shear and bending concrete elements: (<b>a</b>) RC column; (<b>b</b>) BHTS-RC column.</p>
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<p>Minimum principal stresses of shear and flexural concrete elements: (<b>a</b>) RC columns; (<b>b</b>) BHTS-RC column.</p>
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<p>Axial stress time history curve of steel reinforcement element SS1–SS4/BS1–BS3: (<b>a</b>) RC column; (<b>b</b>) BHTS-RC column.</p>
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<p>Axial stress-strain curve of reinforcement element SS1–SS4/BS1–BS3: (<b>a</b>) RC column; (<b>b</b>) BHTS-RC column.</p>
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<p>Dynamic time history curve: (<b>a</b>) RC column; (<b>b</b>) BHTS-RC column.</p>
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<p>Horizontal displacement curves of each height under shear condition: (<b>a</b>) time history curve; (<b>b</b>) distribution curve with respect to height.</p>
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<p>Horizontal displacement curves of each height under bending condition: (<b>a</b>) time history curve; (<b>b</b>) distribution curve with respect to height.</p>
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<p>Time history curve of energy change: (<b>a</b>) RC column; (<b>b</b>) BHTS-RC column.</p>
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29 pages, 13311 KiB  
Article
Comparison of the Finite Element Method and Rigid Finite Element Method During Dynamic Calculations of Steel–Concrete Composite Beams Based on Experimental Results
by Małgorzata Abramowicz and Agnieszka Pełka-Sawenko
Materials 2024, 17(24), 6081; https://doi.org/10.3390/ma17246081 - 12 Dec 2024
Viewed by 373
Abstract
Dynamic analysis of structures is a key challenge in structural engineering, especially in choosing effective and accurate numerical methods. Steel–concrete composite structures, commonly used in bridges and floors, require calculations of dynamic parameters to ensure safety and comfort. Few studies compare the effectiveness [...] Read more.
Dynamic analysis of structures is a key challenge in structural engineering, especially in choosing effective and accurate numerical methods. Steel–concrete composite structures, commonly used in bridges and floors, require calculations of dynamic parameters to ensure safety and comfort. Few studies compare the effectiveness of the finite element method (FEM) and the rigid finite element method (RFEM) in the dynamic analysis of such structures. This study fills this gap by comparing the methods using experimental results. FEM and RFEM models were developed using Abaqus, Python, and Matlab. The main parameters were identified, i.e., the Young’s modulus of the concrete slab (EC) and the stiffness of the connection (Kx, KRX, Kv, Kh). Both methods closely matched the experimental results. The RFEM matched natural frequencies with 2–3% deviations, while the FEM showed 3–4% deviations for the torsional, axial, and first three flexural frequencies. The RFEM reduced the computation time by about 65%, making it suitable for large-scale applications. The FEM provided a finer resolution of local effects due to its higher element density. The results can be applied to the design of bridges, floors, and other structures under dynamic loads. It will also provide the authors with a basis for developing structural health monitoring (SHM). Full article
(This article belongs to the Special Issue Experimental and Numerical Analysis of Sandwich Structures)
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Figure 1
<p>The block diagram for the methodology used to determine the parameters for the RFEM model or for the FEM model.</p>
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<p>The analyzed steel–concrete composite beam: (<b>a</b>) longitudinal cross-section and (<b>b</b>) cross-section.</p>
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<p>Experimental research site: view of the test rig and analyzed beam in the rig with measurement equipment.</p>
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<p>The excitation points 2 + X, 2 − Z, and 1 − Z, and measuring points from 1 to 36.</p>
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<p>The FEM model of the steel–concrete composite beam: (<b>a</b>) the global view, (<b>b</b>) the cross-section of the beam, and (<b>c</b>) SPRING2 elements.</p>
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<p>Measurement points for MAC calculations in FEM models.</p>
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<p>3D rigid finite element model of composite beam: (<b>a</b>) primary division into segments and (<b>b</b>) secondary division into RFEs connected by SDEs.</p>
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<p>3D modes of RFEM of composite beams—cross-sectional view: (<b>a</b>) primary divisions and (<b>b</b>) secondary divisions.</p>
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<p>3D modes of RFEM of composite beams—axial view for primary and secondary divisions: (<b>a</b>) C1 beam; (<b>b</b>) C2 beam; and (<b>c</b>) C3 beam.</p>
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<p>MAC results for RFEM composite beams: (<b>a</b>) C1 beam, (<b>b</b>) C2 beam, and (<b>c</b>) C3 beam.</p>
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<p>MAC matrix calculations for five flexular and torsional mode shapes for RFEM: (<b>a</b>) beam C1, (<b>b</b>) beam C2, and (<b>c</b>) beam C3.</p>
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<p>MAC matrix calculations for five flexular and torsional mode shapes for RFEM: (<b>a</b>) beam C1, (<b>b</b>) beam C2, and (<b>c</b>) beam C3.</p>
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<p>MAC results for FEM composite beams: (<b>a</b>) C1 beam, (<b>b</b>) C2 beam, and (<b>c</b>) C3 beam.</p>
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<p>MAC matrix calculations for five flexular and torsional mode shapes for FEM: (<b>a</b>) beam C1, (<b>b</b>) beam C2, and (<b>c</b>) beam C3.</p>
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<p>MAC matrix calculations for five flexular and torsional mode shapes for FEM: (<b>a</b>) beam C1, (<b>b</b>) beam C2, and (<b>c</b>) beam C3.</p>
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<p>Changes in the natural frequencies for beam C1. The red bars—the experimental results.</p>
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<p>Changes in the natural frequencies for beam C2. The red bars—the experimental results.</p>
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<p>Changes in the natural frequencies for beam C3. The red bars—the experimental results.</p>
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<p>The results in graphic form for beam C1: (<b>a</b>) comparison of the equivalent stiffness of the K<sub>h</sub> and K<sub>v</sub> connection, and (<b>b</b>) comparison of Young’s modulus E<sub>C</sub>.</p>
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<p>The results in graphic form for beam C2: (<b>a</b>) comparison of the equivalent stiffness of the K<sub>h</sub> and K<sub>v</sub> connection, and (<b>b</b>) comparison of Young’s modulus E<sub>C</sub>.</p>
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<p>The results in graphic form for beam C3: (<b>a</b>) comparison of the equivalent stiffness of the K<sub>h</sub> and K<sub>v</sub> connection, and (<b>b</b>) comparison of Young’s modulus E<sub>C</sub>.</p>
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17 pages, 26738 KiB  
Article
Fatigue Crack Growth Performance of Q370qENH Weathering Bridge Steel and Butt Welds
by Yujie Yu, Xiang Zhang, Chunjian Hu, Liangkun Liu and Haibo Wang
Materials 2024, 17(23), 6015; https://doi.org/10.3390/ma17236015 - 9 Dec 2024
Viewed by 369
Abstract
Weathering steel possesses good atmospheric corrosion resistance and is increasingly applied in highway and railway bridges. The fatigue performance of the weld joint is an important issue in bridge engineering. This study experimentally investigates the microstructural properties and fracture crack growth behaviors of [...] Read more.
Weathering steel possesses good atmospheric corrosion resistance and is increasingly applied in highway and railway bridges. The fatigue performance of the weld joint is an important issue in bridge engineering. This study experimentally investigates the microstructural properties and fracture crack growth behaviors of a Q370qENH bridge weathering steel weld joint. The FCG parameters of the base steel, butt weld, and HAZs, considering the effect of different plate thicknesses and stress ratios, are analyzed. Microstructural features, microhardness, and fatigue fracture surfaces are carefully inspected. The FCG rates of different weld regions in the stable crack growth stage are obtained using integral formulas based on the Paris and Walker law. The test results indicate that the heating and cooling process during the welding of Q370qENH steel creates improved microstructures with refined grain sizes and fewer impurities, thus leading to improved FCG performances in the HAZ and weld regions. The crack growth rate of Q370qENH weld regions increases with the stress ratio, and the influencing extent increasingly ranks as the base steel, HAZ, and the weld. The thick plate has a slightly slower fatigue crack growth rate for the Q370qENH weld joints. The Q370qENH base steel presents the highest fatigue crack growth rate, followed by the heat-treated and HAZ cases, while the weld area exhibits the lowest FCG rate. The Paris law coefficients of different regions of Q370qENH welds are presented. The collected data serve as a valuable reference for future analyses of fatigue crack propagation problems of Q370qENH steel bridge joints. Full article
(This article belongs to the Special Issue Engineering Materials and Structural Integrity)
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Figure 1
<p>Design geometry and the practical product of butt welds.</p>
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<p>The optical microscope scan specimen and the construction.</p>
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<p>Metallographic structure: (<b>a</b>) weld joint region × 50 (Red spots indicate hardness measuring locations); (<b>b</b>) weld × 500; (<b>c</b>) CGHAZ × 500; (<b>d</b>) FGHAZ × 500; (<b>e</b>) base metal × 500.</p>
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<p>Metallographic structure: (<b>a</b>) HV-1000Z Vickers indenter; (<b>b</b>) microhardness results; (<b>c</b>) Vickers indenter imprint.</p>
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<p>CT specimen design: (<b>a</b>) specimen dimensions; (<b>b</b>) specimen figure; (<b>c</b>) specimen locations.</p>
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<p>Fatigue crack growth test setup: (<b>a</b>) test setup; (<b>b</b>) specimen setup; (<b>c</b>) DIC measurement.</p>
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<p>Fatigue crack growth curves: (<b>a</b>) crack propagation trajectory; (<b>b</b>) crack lengths of base metal; (<b>c</b>) crack lengths of HAZ; (<b>d</b>) crack lengths of weld.</p>
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<p>Comparison of FCG rates under different stress ratios: (<b>a</b>) base metal—8 mm thick; (<b>b</b>) base metal—10 mm thick; (<b>c</b>) weld—8 mm thick; (<b>d</b>) HAZ—8 mm thick.</p>
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<p>Comparison of FCG rates under different plate thicknesses: (<b>a</b>) base steel cases; (<b>b</b>) HAZ cases; (<b>c</b>) weld cases.</p>
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<p>Comparison of FCG rates under different stress ratios: (<b>a</b>) 0.1 stress ratio; (<b>b</b>) 0.2 stress ratio; (<b>c</b>) 0.5 stress ratio.</p>
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<p>Comparison of FCG rates between different CT groups: (<b>a</b>) CT specimens from weld joint; (<b>b</b>) CT specimens from heated plates.</p>
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<p>FCG performance comparisons between Q370qENH, 14MNNbq, and Q500D.</p>
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<p>Fracture morphology of 8H0.2-2.</p>
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<p>Fracture surface and microscope morphology of critical regions: (<b>a</b>) weld—8W0.1; (<b>b</b>) HAZ—8H0.1; (<b>c</b>) base steel—8B0.1.</p>
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<p>Fracture surface and microscope morphology of critical regions: (<b>a</b>) weld—8W0.1; (<b>b</b>) HAZ—8H0.1; (<b>c</b>) base steel—8B0.1.</p>
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<p>Fracture surface and microscope morphology of critical regions.</p>
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<p>Fracture surface of 6 mm and 8 mm thick 0.1 stress ratio cases.</p>
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17 pages, 4716 KiB  
Article
Research on the Simplified Calculation Model and Parameter Analysis of Large-Size PBL-Stiffened Steel–Concrete Joints
by Haolin Liu, Baisong Du and Heying Zhou
Buildings 2024, 14(12), 3926; https://doi.org/10.3390/buildings14123926 - 9 Dec 2024
Viewed by 306
Abstract
To investigate the design principles and simplified calculation model of large-size PBL-stiffened steel–concrete joints, this study uses a Y-shaped rigid frame-tied arch composite bridge as an engineering background. Based on deformation coordination theory, a combination of theoretical analysis and numerical simulation was employed [...] Read more.
To investigate the design principles and simplified calculation model of large-size PBL-stiffened steel–concrete joints, this study uses a Y-shaped rigid frame-tied arch composite bridge as an engineering background. Based on deformation coordination theory, a combination of theoretical analysis and numerical simulation was employed to derive a simplified calculation model that accounts for boundary conditions such as the stiffness of steel beam end restraints and the local bearing effect of the bearing plate. Parametric analysis of the steel–concrete joint was conducted. The results indicate that the derived simplified calculation model exhibits good accuracy and is suitable for calculating force transfer in various components of the steel–concrete joint under different boundary conditions. Using the simplified model, the effects of parameters such as steel–concrete joint length, connector stiffness, and structural axial stiffness on the axial force transfer in primary force-bearing components (connectors and bearing plates) were studied. The findings reveal that an excessively long steel–concrete joint does not effectively reduce maximum shear force; variations in connector stiffness primarily affect connectors farther from the bearing plate without changing the shear force distribution. Increasing the axial stiffness of the steel structure within a certain range can improve the maximum shear force in connectors, whereas increasing the axial stiffness of the concrete structure has the opposite effect. Full article
(This article belongs to the Special Issue UHPC Materials: Structural and Mechanical Analysis in Buildings)
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<p>The SCJ of a Y-shaped rigid frame-tied arch composite bridge (unit: mm): (<b>a</b>) a schematic diagram of the SCJ; (<b>b</b>) a schematic diagram of the steel cabin; (<b>c</b>) a detailed construction diagram of the steel cabin.</p>
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<p>Simplified mechanical calculation model for SCJS.</p>
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<p>An internal force and displacement diagram for the <span class="html-italic">i</span>-th segment in the mechanical model of the SCJS.</p>
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<p>Structure of specimen J-1 (unit: mm).</p>
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<p>Schematic diagram of force transfer components in SCJS: (<b>a</b>) PBL; (<b>b</b>) Bearing plate; (<b>c</b>) Entire end of the steel beam; (<b>d</b>) End of perforated steel plate.</p>
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<p>The finite element model of the steel cabin in the SCJS.</p>
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<p>Impact of variation in SCJS length (L) on load transfer: (<b>a</b>) load transferred by PBL connectors under different SCJS lengths (L); (<b>b</b>) load transferred by bearing plates under different SCJS lengths (L).</p>
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<p>Effect of PBL connector stiffness (K) variation on load transfer: (<b>a</b>) PBL connector load transfer under different stiffnesses (K); (<b>b</b>) bearing plate load transfer under different stiffnesses (K).</p>
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<p>The effect of axial stiffness variation on load transfer: (<b>a</b>) the maximum load transfer ratio of the connectors under different axial stiffnesses; (<b>b</b>) the load transfer ratio of the bearing plates under different axial stiffnesses.</p>
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22 pages, 19994 KiB  
Article
Research on Deflection Risk Assessment for Steel Box Girder Bridges Based on GA-BP Neural Network
by Yongcheng Ji, Bowen Yao and Wenyuan Xu
Buildings 2024, 14(12), 3923; https://doi.org/10.3390/buildings14123923 - 9 Dec 2024
Viewed by 430
Abstract
Steel box girder bridges constitute a pivotal structural component in modern bridge engineering, confronting intricate mechanical environments and dynamic conditions during construction, with a particularly notable risk of deflection. Risk assessments predominantly rely on traditional mechanical analyses and empirical judgments, which need help [...] Read more.
Steel box girder bridges constitute a pivotal structural component in modern bridge engineering, confronting intricate mechanical environments and dynamic conditions during construction, with a particularly notable risk of deflection. Risk assessments predominantly rely on traditional mechanical analyses and empirical judgments, which need help to fully capture the dynamic construction changes and latent risks. This study introduces an innovative risk assessment methodology grounded in finite element analysis (FEA) and optimized by a genetic algorithm-enhanced back propagation neural network (GA-BP) to address these limitations. This approach entails constructing an FEA model to precisely simulate and predict the mechanical behavior during the construction phase, with field data validation ensuring the model’s accuracy. The GA-BP assessment model is established by further incorporating the genetic algorithm to optimize the BP neural network, enabling comprehensive, systematic, and efficient risk assessment. Through practical application case studies, this methodology demonstrates the ability to accurately identify the critical risk factors influencing deflection during the construction phase of steel box girder bridges, providing a scientific basis for construction control. This research holds significant theoretical value and practical significance, and it offers a scientific foundation for risk management, construction optimization, and safety assurance in future bridge engineering projects, thereby enhancing the overall quality and safety of bridges. Full article
(This article belongs to the Section Building Structures)
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<p>Schematic diagram of bridge layout (m).</p>
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<p>Photorealistic image of bridge.</p>
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<p>Deflection test. (<b>a</b>) Installation of magneto-electric speed sensors; (<b>b</b>) dynamic signal acquisition box.</p>
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<p>Temperature test. (<b>a</b>) Instrumentation and testing; (<b>b</b>) temperature measurement point layout (cm).</p>
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<p>Standard cross-section (cm).</p>
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<p>Finite element modeling of ramp bridges: (<b>a</b>) top side view; (<b>b</b>) front view.</p>
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<p>Displacement contour plot: (<b>a</b>) 1.05 times self-weight; (<b>b</b>) 0.95 times self-weight.</p>
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<p>Sensitivity of structural parameters to deflection of steel box girders.</p>
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<p>Displacement contour plot: (<b>a</b>) temperature difference of 30 °C; (<b>b</b>) temperature difference of 5 °C.</p>
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<p>Displacement contour plot: (<b>a</b>) temperature difference of 30 °C; (<b>b</b>) temperature difference of 5 °C.</p>
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<p>Sensitivity of environmental parameters to deflection of steel box girders.</p>
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<p>Sensitivity of settlement to deflection of steel box girders.</p>
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<p>Schematic diagram of neural network topology.</p>
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<p>Genetic algorithm optimization BP neural network flowchart.</p>
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<p>Temperature measurements over time.</p>
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<p>Comparison between numerical simulation and field measurement of main girder deflection at mid-span of the first span.</p>
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<p>Function iteration curve: (<b>a</b>) GA-BP fitness function; (<b>b</b>) neural network error function.</p>
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<p>Prediction of vertical displacement of main girder.</p>
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<p>Comparison of GA-BP and BP model errors.</p>
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21 pages, 9360 KiB  
Article
Load Testing and Analysis of a Large Span Through Simply-Supported Steel Box Arch Bridge
by Zhenwei Liu, Weisheng Xu, Qing Xu, Menglin Shi and Yujie Luo
Appl. Sci. 2024, 14(23), 11418; https://doi.org/10.3390/app142311418 - 8 Dec 2024
Viewed by 662
Abstract
To evaluate the true load-bearing capacity and engineering reliability of a large span through a simply supported steel box arch bridge, a load test was conducted on the bridge. The example used in this test is the Jingchu Avenue Bridge located in Jingmen [...] Read more.
To evaluate the true load-bearing capacity and engineering reliability of a large span through a simply supported steel box arch bridge, a load test was conducted on the bridge. The example used in this test is the Jingchu Avenue Bridge located in Jingmen City, Hubei Province. Specifically, the static load test delineated six operational conditions, measuring parameters encompassing strain, hanger cable force, deflection, and potential cracks. The dynamic load test gauged the bridge’s dynamic response and various indicators, including pulse tests, vehicle tests, jump tests, and barrier-free vehicle tests. The findings indicated that the maximum measured strain values during the static load test surpassed the calculated values; nonetheless, the verification factors and relative residual strains adhered to the code requirements, and no cracks were detected. The dynamic load test unveiled that the measured frequency values exceeded the theoretical ones, the damping ratios were within the normal range, and the measured impact coefficients were lower than the values stipulated in the code, all of which were in conformance with the code requirements. The data obtained from this experiment can be utilized to refine the long-term maintenance plan for the bridge, especially as it holds considerable value for structural health monitoring and aging assessment. Full article
(This article belongs to the Section Civil Engineering)
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<p>General layout of a 90 m main span steel box tied arch bridge (Unit: cm).</p>
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<p>Arch bridge model diagram.</p>
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<p>Arch bridge design live load moment envelope diagram (kN·m).</p>
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<p>Static load test.</p>
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<p>Test section schematic diagram (Unit: cm).</p>
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<p>(<b>a</b>) Layout of strain measurement points on arch rib. (<b>b</b>) The layout of strain measurement points on the tie bar. (<b>c</b>) Layout of strain measurement points on the main girder.</p>
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<p>(<b>a</b>) Layout of strain measurement points on arch rib. (<b>b</b>) The layout of strain measurement points on the tie bar. (<b>c</b>) Layout of strain measurement points on the main girder.</p>
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<p>Layout and measurement of strain gauges.</p>
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<p>Deflection measurement point layout diagram (unit: cm).</p>
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<p>Layout diagram of wheel positions for working conditions 1–6.</p>
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<p>Deflection curve of the main arch ring under the load of working condition 1.</p>
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<p>Deflection curve of the main arch ring under the load of working condition 5.</p>
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<p>(<b>a</b>) Layout of measuring points for modal testing of the main bridge. (<b>b</b>) Layout of testing points for sports car tests. (unit: mm).</p>
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<p>Installation of vibration sensors on the arch ribs.</p>
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<p>(<b>a</b>) First-order symmetric lateral bending mode of the main arch (<b>b</b>) First-order antisymmetric vertical bending mode of the main beam (<b>c</b>) First-order torsional mode of the main beam.</p>
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<p>Dynamic load test.</p>
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<p>Time history curve and mode shape of vertical measurement points on the main beam at 20 km/h.</p>
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31 pages, 11606 KiB  
Article
Quantifying the Self-Healing Efficiency of Bioconcrete Using Bacillus subtilis Immobilized in Polymer-Coated Lightweight Expanded Clay Aggregates
by Izhar Ahmad, Mehdi Shokouhian, Marshell Jenkins and Gabrielle L. McLemore
Buildings 2024, 14(12), 3916; https://doi.org/10.3390/buildings14123916 - 7 Dec 2024
Viewed by 512
Abstract
Concrete is prone to cracking over time, leading to the deterioration of concrete structures. Using the biomineralization capabilities of bacteria, cracks in concrete can be remediated in favorable conditions. In this study, Bacillus subtilis spores were immobilized in three different healing agents, namely [...] Read more.
Concrete is prone to cracking over time, leading to the deterioration of concrete structures. Using the biomineralization capabilities of bacteria, cracks in concrete can be remediated in favorable conditions. In this study, Bacillus subtilis spores were immobilized in three different healing agents, namely lightweight expanded clay aggregates (LECAs), polyvinyl acetate (PVA) fibers, and an air-entraining admixture (AEA). Bacillus subtilis spores, with a turbidity equivalent to a 4 McFarland standard, were used in three different dosages, namely 0.01, 0.1, and 1% (by weight) of cement. Based on the dosage, three groups were developed and each group consisted of a total of nine mixes, which were differentiated based on the method of delivery of the bacterial spores. The specimens were pre-cracked after 7 days, using an embedded steel rod, after being post-tensioned in a universal testing machine. The self-healing efficiency of the concrete was evaluated using ultrasonic pulse velocity testing and surface crack analysis, using ImageJ software, and the self-healing precipitate was analyzed using microstructural tests, namely scanning electron microscopy, X-ray diffraction, and Fourier transform infrared spectroscopy analysis. The results verified that the self-healing efficiency of the concrete improved with the increase in the bacterial dosage and with an increase in the curing time. LECAs proved to be a promising bacterial carrier, by accommodating the spores and nutrient media over a period of 196 days. PVA fibers helped in bridging the cracks and provided nucleation sites for the bacteria, which enhanced the calcite precipitation. Similarly, the AEA also improved crack healing by encapsulating the spores and sealing cracks up to 0.25 mm, when used in conjunction with LECAs. Furthermore, microstructural tests verified the formation of calcite as a healing product within the cracks in the bioconcrete. The results of this study offer valuable insights for the construction industry, highlighting the ability of bacteria to reduce the deterioration of concrete structures and promoting a sustainable approach that minimizes the need for manual repairs, particularly in hard-to-reach areas. Full article
(This article belongs to the Special Issue The Durability of Innovative Construction Materials and Structures)
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<p>Preparation of bacterial spores from a culture.</p>
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<p>Spore immobilization technique applied to LECAs.</p>
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<p>Casting, curing, and pre-cracking of concrete specimens.</p>
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<p>Ultrasonic pulse velocity setup.</p>
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<p>Illustration of image processing in ImageJ software.</p>
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<p>SEM analysis of encapsulated LECAs, showing calcite precipitation (<b>left</b>) and the composition of the calcite (<b>right</b>).</p>
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<p>Visual observation of crack healing in: (<b>a</b>) G1, (<b>b</b>) G2, (<b>c</b>) G3.</p>
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<p>Crack healing after 28 days in: (<b>a</b>) G1, (<b>b</b>) G2, (<b>c</b>) G3.</p>
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<p>UPV curves for three bacterial concentrations: (<b>a</b>) G1, (<b>b</b>) G2, (<b>c</b>) G3.</p>
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<p>Healing efficiency based on UPV testing for different bacterial concentrations: (<b>a</b>) G1, (<b>b</b>) G2, (<b>c</b>) G3.</p>
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<p>Healing efficiency, based on surface crack analysis, for different bacterial concentrations: (<b>a</b>) G1, (<b>b</b>) G2, (<b>c</b>) G3.</p>
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<p>Crack healing, based on processing of crack pictures in ImageJ software, for three groups: (<b>a</b>) G1 (<b>b</b>) G2 (<b>c</b>) G3.</p>
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<p>Role of PVA fibers in the crack-healing process.</p>
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<p>Compression strength of concrete mixes.</p>
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<p>Crack healing in concrete mixes at 7 and 28 days pre-loaded: (<b>a</b>) CMN 7 days, (<b>b</b>) CMN 28 days, (<b>c</b>) R1 7 days, (<b>d</b>) R1 28 days, (<b>e</b>) R2 7 days, (<b>f</b>) R2 28 days, (<b>g</b>) MSb 28 days, (<b>h</b>) MSb 28 days.</p>
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<p>Crack healing in concrete mixes at 7 and 28 days pre-loaded: (<b>a</b>) CMN 7 days, (<b>b</b>) CMN 28 days, (<b>c</b>) R1 7 days, (<b>d</b>) R1 28 days, (<b>e</b>) R2 7 days, (<b>f</b>) R2 28 days, (<b>g</b>) MSb 28 days, (<b>h</b>) MSb 28 days.</p>
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<p>Crack healing in concrete mixes at 7 and 28 days pre-loaded: (<b>a</b>) CMN 7 days, (<b>b</b>) CMN 28 days, (<b>c</b>) R1 7 days, (<b>d</b>) R1 28 days, (<b>e</b>) R2 7 days, (<b>f</b>) R2 28 days, (<b>g</b>) MSb 28 days, (<b>h</b>) MSb 28 days.</p>
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<p>Compression strength restoration in concrete mixes.</p>
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<p>SEM analysis of the healing product.</p>
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<p>XRD of healing product at the crack surface.</p>
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<p>FTIR spectral analysis of the healing product at the crack surface.</p>
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23 pages, 7487 KiB  
Article
Bolt Loosening and Preload Loss Detection Technology Based on Machine Vision
by Zhiqiang Shang, Xi Qin, Zejun Zhang and Hongtao Jiang
Buildings 2024, 14(12), 3897; https://doi.org/10.3390/buildings14123897 - 5 Dec 2024
Viewed by 454
Abstract
Steel bridges often experience bolt loosening and even fatigue fracture due to fatigue load, forced vibration, and other factors during operation, affecting structural safety. This study proposes a high-precision bolt key point positioning and recognition method based on deep learning to address the [...] Read more.
Steel bridges often experience bolt loosening and even fatigue fracture due to fatigue load, forced vibration, and other factors during operation, affecting structural safety. This study proposes a high-precision bolt key point positioning and recognition method based on deep learning to address the high cost, low efficiency, and poor safety of current bolt loosening identification methods. Additionally, a bolt loosening angle recognition method is proposed based on digital image processing technology. Using image recognition data, the angle-preload curve is revised. The established correlation between loosening angle and pretension for commonly utilized high-strength bolts provides a benchmark for identifying loosening angles. This finding lays a theoretical foundation for defining effective detection intervals in future bolt loosening recognition systems. Consequently, it enhances the system’s ability to deliver timely warnings, facilitating swift manual inspections and repairs. Full article
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<p>Torque Wrench Measurement Method.</p>
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<p>Scribed Line and Magnetic Strip Attachment Methods.</p>
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<p>Two Categories of Vision-Based Detection Method. (<b>a</b>) Angle Detection; (<b>b</b>) Length Detection.</p>
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<p>Framework for Bolt-loosening Detection.</p>
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<p>Example of True Position Annotation of Bolt Key Points.</p>
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<p>Process Flow of Bolt Keypoint Localization Algorithm.</p>
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<p>Illustration of Bolt Keypoint Heatmaps. (<b>a</b>) Corner Heatmap; (<b>b</b>) Corner Heatmap.</p>
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<p>Loss Function Curve During Training.</p>
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<p>Bolt Keypoint Detection Results (<b>a</b>) Front view; (<b>b</b>) Back view; (<b>c</b>) Slanted view.</p>
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<p>Keypoint detection results under varying illumination conditions. (<b>a</b>) Strong lighting condition; (<b>b</b>) normal lighting condition; (<b>c</b>) weak lighting condition; (<b>d</b>) dark condition.</p>
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<p>Outlier determination for bolt corner points.</p>
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<p>Principle of initial angle calculation for bolts.</p>
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<p>Principle of bolt position numbering.</p>
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<p>Process of correcting distorted images using planar projection transformation.</p>
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<p>Calculation of bolt loosening angle.</p>
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<p>Binary image of keypoints.</p>
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<p>Clustering effect of bolt keypoints.</p>
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<p>Bolt angle identification (<b>a</b>) Front view; (<b>b</b>) Back view.</p>
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<p>Comparison between identified and measured values.</p>
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<p>Schematic diagram of bolt loosening detection.</p>
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<p>Test results for different numbers of bolts.</p>
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<p>Test results for different degrees of corrosion.</p>
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<p>Test results for different coating conditions.</p>
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<p>Polynomial fitted curve of experimental pretension/initial pretension vs. bolt loosening angle.</p>
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24 pages, 11032 KiB  
Article
Systematic Rehabilitation Techniques and Dynamic Analysis of Bridge Deck System with Concrete-Filled Steel Tube Arches
by Jie Cai, Zikang Zou and Zhipeng Wang
Buildings 2024, 14(12), 3891; https://doi.org/10.3390/buildings14123891 - 5 Dec 2024
Viewed by 437
Abstract
Due to prolonged heavy traffic, the Wuhan Changfeng Bridge has experienced extensive cracking in its main girder structure. Of the bridge’s 60 crossbeams, 51 (85%) have developed cracks, while the deck pavement over the steel beams has accumulated a total of 648.8 m [...] Read more.
Due to prolonged heavy traffic, the Wuhan Changfeng Bridge has experienced extensive cracking in its main girder structure. Of the bridge’s 60 crossbeams, 51 (85%) have developed cracks, while the deck pavement over the steel beams has accumulated a total of 648.8 m of transverse cracks. Additionally, two T-beams exhibit structural vertical cracks of 0.3 mm at the mid-span, exceeding the maximum allowable width of 0.2 mm. This recurrent pavement damage not only compromises driving safety and comfort but also increases maintenance costs. To address these issues, this paper proposes a systematic upgrade plan for the bridge deck system. The plan involves welding additional high transverse beams onto the existing steel transverse beams, removing the original deck slab and replacing it entirely with an orthotropic steel deck. Additionally, two new steel longitudinal beams will be installed. The original simply supported concrete longitudinal beams in the deck will be transformed into an integrally connected continuous steel structure deck system. Using Midas/Civil finite element software, 3D models of Changfeng Bridge, pre and post renovation, were created to analyze the overall dynamic characteristics under five loading scenarios. The ambient vibration test and vehicle field test were conducted to measure the bridge’s natural frequency and impact factor, verifying the dynamic performance and driving comfort of the bridge after the upgrade. The results indicate that the retrofitted bridge experienced a 19.9% increase in overall stiffness. The dynamic performance of the bridge structure was significantly enhanced, and the most notable improvement was observed in dynamic stress, which decreased by 19.4% to 76.9%. Additionally, the steel deck reduced the bridge’s dead load, and the driving comfort on the bridge deck improved. Full article
(This article belongs to the Special Issue Inspection, Maintenance and Retrofitting of Existing Buildings)
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<p>Schematic diagram.</p>
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<p>Overview of the bridge.</p>
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<p>Schematic diagram of crack distribution in the original bridge.</p>
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<p>Renovation design plan.</p>
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<p>The 1/4 top surface of the bridge deck. (The shaded areas in <span class="html-italic">the figure</span> represent the newly constructed sections of the bridge deck system in this project).</p>
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<p>Structure of added steel stringer.</p>
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<p>Model 1.</p>
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<p>Model 2.</p>
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<p>Time history function of triangular load.</p>
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<p>Diagram of vehicle arrangement.</p>
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<p>Vehicle load simulation on Midas/Civil.</p>
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<p>Before and after bridge renovation dynamic deflection at different vehicle speeds.</p>
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<p>Contour lines of displacement—dynamic deflection. (<b>a</b>) Before renovation; (<b>b</b>) after renovation.</p>
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<p>Before and after bridge renovation dynamic bending moment at different vehicle speeds.</p>
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<p>Internal force diagram of beam elements.</p>
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<p>Before and after bridge renovation dynamic stress at different vehicle speeds.</p>
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<p>Contour lines of displacement—dynamic stress. (<b>a</b>) Before renovation. (<b>b</b>) After renovation.</p>
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<p>Suspender numbering diagram.</p>
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<p>Layout diagram of measurement points for ambient vibration test.</p>
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<p>Instruments and equipment for ambient vibration test.</p>
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<p>Lateral 1st-order vibration (0.375 Hz).</p>
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<p>Vertical 1st-order vibration (0.825 Hz).</p>
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<p>Layout diagram of measurement points for vehicle field test.</p>
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<p>Vehicle field test.</p>
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<p>Photo of amplitude sensor layout.</p>
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20 pages, 7757 KiB  
Article
Behavior of Weathering Steel in Artificial Harsh Environment
by Tomasz Wierzbicki, Gabriela Rutkowska, Mariusz Żółtowski and Mykola Nagirniak
Materials 2024, 17(23), 5919; https://doi.org/10.3390/ma17235919 - 3 Dec 2024
Viewed by 323
Abstract
The safety and durability of engineering structures, like bridges, which are designed from weathering steels, are conditioned by the development of a sufficiently protective layer of corrosion products. Air pollution, the microclimate around the bridge, the time of wetness, the structural solution of [...] Read more.
The safety and durability of engineering structures, like bridges, which are designed from weathering steels, are conditioned by the development of a sufficiently protective layer of corrosion products. Air pollution, the microclimate around the bridge, the time of wetness, the structural solution of the bridge, and the position and orientation of the surface within the bridge structure all influence the development of protective layers on the surface of the weathering steel. The condition of the formed patina relies on the working conditions of the structure. In fact, it is exposed to various types of salts that appear during the operation of the facility. In this article, the strength parameters of uncoated weathering steel were tested after accelerated aging of welded steel samples in a salt spray chamber. The tests showed the expected degradation of steel after long-term exposure to salt and changes in the strength parameters such as tensile strength, yield strength, and, importantly, impact strength, both in the steel itself and in the elements of the welded connection. The obtained results showed that the change is influenced by both the conditions in which the samples are made (welding method) and the direction of the welded joint (along or across the rolling direction). Full article
(This article belongs to the Section Construction and Building Materials)
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<p>Close view of the weathering steel patina.</p>
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<p>Schematic partition of steel sheet prepared for testing.</p>
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<p>General view of the steel sheet cut and welded for testing samples.</p>
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<p>The cross section of welded joint sample CV 1/1.</p>
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<p>The cross section of welded joint sample CV 1/2.</p>
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<p>The cross section of welded joint sample CV 1/3.</p>
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<p>The cross section of welded joint sample CV 1/4.</p>
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<p>The cross section of welded joint sample CV 100/1.</p>
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<p>The cross section of welded joint sample CV 100/2.</p>
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<p>The cross section of welded joint sample CV 100/3.</p>
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<p>The cross section of welded joint sample CV 100/4.</p>
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<p>General view of the tested steel sheet sampled as delivered and subjected to artificial maturing.</p>
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<p>Comparison of summary of strength testing results of a welded joint—as delivered and after accelerated aging.</p>
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<p>Comparison of summary of strength testing results of a welded joint—rolling direction of samples.</p>
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<p>Comparison of the results of strength tests depending on the welding technology and the condition of the S355J2W+N steel sample.</p>
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<p>Graphical representation of average impact strength results measured in the heat-affected zone of the HAZ.</p>
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<p>Graphical representation of average impact strength results measured in the heat-affected zone of the HAZ, 135 welding technology (perpendicular to the rolling direction).</p>
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<p>Graphical representation of average impact strength results measured in the heat-affected zone of the HAZ, 121 welding technology (in parallel to the rolling direction).</p>
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<p>Graphical representation of average impact strength results measured in the heat-affected zone of the HAZ, 121 welding technology (perpendicular to the rolling direction).</p>
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<p>Graphical representation of average impact strength results measured in the heat-affected zone of the HAZ, 135 welding technology (in parallel to the rolling direction).</p>
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<p>Graphical representation of average impact strength results measured in the weld.</p>
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<p>Graphical representation of average impact strength results measured in the weld for 135 welding technology.</p>
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<p>Graphical representation of average impact strength results measured in the weld for 135 welding technology.</p>
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<p>Graphical representation of average impact strength results measured in the weld for 121 welding technology.</p>
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<p>Graphical representation of average impact strength results measured in the weld for 121 welding technology.</p>
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<p>Graphical presentation of the average impact strength results measured in individual elements of the welded joint for welding technology 135 (along the rolling direction).</p>
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<p>Graphical presentation of the average impact strength results measured in individual elements of the welded joint for welding technology 121 (along the rolling direction).</p>
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<p>Graphical representation of the average impact strength results measured in individual elements of the welded joint for welding technology 135 (across the rolling direction).</p>
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<p>Graphical representation of the average impact strength results measured in individual elements of the welded joint for welding technology 121 (across the rolling direction).</p>
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14 pages, 4090 KiB  
Article
Trial Design of a Truss Bridge Prefabricated Using a Rectangular Steel Tube—Ultra-High-Performance Concrete Composite
by Shujie Shang, Lei Jiang, Yongquan Dong, Zhengbo Li and Runsheng Pei
Appl. Sci. 2024, 14(23), 11244; https://doi.org/10.3390/app142311244 - 2 Dec 2024
Viewed by 515
Abstract
In order to promote the development of bridge assembly technology and accelerate the application of rectangular steel-tube–concrete composite truss bridges, this study focuses on the Yellow River Diversion Jiqing Main Canal Bridge as the engineering example and conducts a numerical analysis of a [...] Read more.
In order to promote the development of bridge assembly technology and accelerate the application of rectangular steel-tube–concrete composite truss bridges, this study focuses on the Yellow River Diversion Jiqing Main Canal Bridge as the engineering example and conducts a numerical analysis of a rectangular steel-tube–concrete composite truss bridge. Based on the results of the analysis, structural optimization is achieved in three dimensions—structural design, construction methods, and force analysis—leading to the establishment of key design parameters for through-type ultra-high-performance rectangular steel-tube–concrete composite truss bridges. The results show that filling the hollow sections with ultra-high-strength concrete can significantly enhance the load-bearing capacity. Additionally, employing prestressed concrete components addresses the bending and tensile load capacity challenges of composite structures, thus maximizing the material strength advantages. The proposed preliminary design scheme incorporates prestressed PBL-reinforced tie rods filled with ultra-high-performance concrete with optimal design parameters, such as high span ratios, wide span ratios, and ideal segment lengths, are suggested to ensure that the strength, stiffness, and stability comply with relevant standards. While ensuring that the structure meets safety, applicability, and durability criteria, the preliminary design scheme reduces steel usage by 23.5%, concrete usage by 11.6%, and overall costs by 17.29% compared to the original design. The proposed design demonstrates distinct advantages over the original in terms of mechanical performance, construction efficiency, economic viability, and durability, highlighting its promising application potential. Full article
(This article belongs to the Section Civil Engineering)
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<p>The elevation layout of the Yellow River Diversion Jiqing Main Canal Bridge (unit: mm).</p>
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<p>Cross-section layout of the Yellow River Diversion Jiqing Main Canal Bridge (unit: mm).</p>
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<p>Elevation layout of the 110 m through-type simple-span truss bridge (unit: mm).</p>
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<p>Cross-section layout of the 110 m through-type simple-span truss bridge (unit: mm).</p>
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<p>The construction of splicing joints for the main truss segments.</p>
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<p>The layout of shear nails for the 110 m through-type simple-span truss bridge (unit: mm).</p>
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<p>Layout of the 110 m through-type simple-span truss bridge deck system (unit: mm).</p>
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<p>Layout of the horizontal connection in the 110 m through-type simple-span truss bridge (unit: mm).</p>
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<p>Layout of the portal frame of the 110 m through-type simple-span truss bridge (unit: mm).</p>
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<p>The main bridge space calculation model.</p>
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<p>An envelope diagram of string concrete with frequent combined stress (unit: MPa).</p>
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<p>The normal stress envelope of the main girder under fatigue model I (unit: MPa).</p>
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30 pages, 15156 KiB  
Article
Mitigating Temperature Effects in Curved Continuous Steel Box Girders: A Parametric Thermodynamic Analysis and Design Recommendations
by Shichao Wang, Gang Zhang, Haoting Liu, Boxing Zhang, Xu Hou and Zhuoya Yuan
Buildings 2024, 14(12), 3860; https://doi.org/10.3390/buildings14123860 - 30 Nov 2024
Viewed by 458
Abstract
Curved continuous steel box girders are extensively utilized in bridge construction due to their efficiency and environmental benefits. However, in regions with significant temperature fluctuations, temperature effects can result in cumulative deformation and stress concentration, which may severely impact structural safety and durability. [...] Read more.
Curved continuous steel box girders are extensively utilized in bridge construction due to their efficiency and environmental benefits. However, in regions with significant temperature fluctuations, temperature effects can result in cumulative deformation and stress concentration, which may severely impact structural safety and durability. This study examines the structural response of curved continuous steel box girders with five spans under diverse temperature conditions and also develops a comprehensive parameterized thermodynamic numerical model. The model assesses the influence of cross-sectional shape parameters, including the number of cross-sectional box chambers, diaphragm thickness, and height-to-width ratio, as well as longitudinal structural parameters such as planar configurations, width-to-span ratio, and support arrangements, along with the arrangement of stiffening ribs on the temperature-induced effects in the girders. The results indicate that optimizing the width and eccentricity of support stiffeners to 30% and 25%, respectively, in support plate size can significantly alleviate local temperature-induced stresses. Additionally, variations in longitudinal and transverse stiffeners manifest minimal impact on thermal performance. These findings provide a theoretical foundation for improved design and construction practices, offering practical design recommendations to mitigate temperature effects and enhance the longevity and safety of such structures. Full article
(This article belongs to the Section Building Structures)
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<p>Cross section of the curved steel box girder model (unit: mm).</p>
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<p>Steel box girder model.</p>
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<p>Support arrangement.</p>
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<p>Arrangement of temperature measurement points (unit: mm).</p>
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<p>Measured 13:00 and 15:00 temperatures vs. simulated temperatures.</p>
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<p>Standard deviation of measured and simulated data.</p>
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<p>Relationship between maximum equivalent stress and the number of chambers.</p>
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<p>Relationship between maximum shear stress and the number of chambers.</p>
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<p>Relationship between maximum deformation and the number of chambers.</p>
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<p>Septum thickness and ultimate stress.</p>
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<p>Thickness of plate and maximum deformation.</p>
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<p>Influence of aspect ratio on stress results.</p>
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<p>Influence of aspect ratio on deformation results.</p>
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<p>Model of four-span curved steel box girder bridge with a radius of 86 m.</p>
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<p>Span number and maximum stress under overall temperature rise.</p>
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<p>Span number and maximum displacement under overall temperature rise.</p>
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<p>Span number and maximum stress under overall cooling.</p>
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<p>Span number and maximum displacement under overall cooling.</p>
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<p>Span number and maximum equivalent stress under positive radial gradient.</p>
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<p>Span number and maximum equivalent stress under negative radial gradient.</p>
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<p>Span number and maximum displacement under positive radial gradient.</p>
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<p>Span number and maximum displacement under negative radial gradient.</p>
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<p>Relationship between stress and deformation of group D with span number. (<b>a</b>) Overall heating condition. (<b>b</b>) Overall cooling condition.</p>
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<p>Relationship between stress and deformation of group E with span number. (<b>a</b>) Overall heating condition. (<b>b</b>) Overall cooling condition.</p>
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<p>Support number.</p>
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<p>Maximum equivalent stress of fulcrum section when exposed to sunlight in the east.</p>
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<p>Maximum equivalent stress of fulcrum section during sun exposure.</p>
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<p>Comparison of optimal stress arrangement schemes under partial sun exposure.</p>
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<p>Stress and displacement variations due to changes in the number of stiffening ribs at different temperature conditions.</p>
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<p>Relationship between the number of longitudinal stiffening ribs in the outer web and the maximum stress and displacement.</p>
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<p>Relationship between the number of longitudinal stiffening ribs and maximum stresses and displacements in the mid-web plate.</p>
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<p>Relationship between the height of the top plate closed-end stiffening rib section and maximum stress and displacement.</p>
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<p>Relationship between the height of the closed-end stiffening rib section and the maximum stress and displacement of the base plate.</p>
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<p>Relationship between the number of transverse stiffening ribs and the maximum stresses and displacements in the base plate.</p>
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<p>Local maximum stress versus spacing <span class="html-italic">D</span>.</p>
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<p><span class="html-italic">B</span>/<span class="html-italic">L</span> vs. local maximum stress in the pivot diaphragm with temperature effect.</p>
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<p>Thickness <span class="html-italic">t</span> vs. maximum localized stress in the pivot diaphragm for temperature effects.</p>
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<p><span class="html-italic">a</span>/<span class="html-italic">L</span> versus maximum localized stress in the pivot diaphragm with temperature effect.</p>
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<p>Maximum equivalent stress at the support section for various parameter coupling schemes under temperature-change conditions. (<b>a</b>) Overall heating condition. (<b>b</b>) Overall cooling condition.</p>
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<p>Maximum displacement at various locations of the entire bridge for different parameter coupling schemes under temperature-change conditions. (<b>a</b>) Overall heating condition. (<b>b</b>) Overall cooling condition.</p>
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<p>Maximum displacement at various locations of the entire bridge for different parameter coupling schemes under temperature-change conditions. (<b>a</b>) Overall heating condition. (<b>b</b>) Overall cooling condition.</p>
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11 pages, 10593 KiB  
Article
Research on Mechanized Plasma Gouging of Weldable Construction Steels
by Arthur Olah, Mihai Machedon-Pisu and Teodor Machedon-Pisu
Coatings 2024, 14(12), 1502; https://doi.org/10.3390/coatings14121502 - 28 Nov 2024
Viewed by 339
Abstract
Grooving or gouging is a process of thermal processing of metals or welded semi-finished products. The gouging process is generally used to process the root of butt welds to remove possible welding defects. The possibility to obtain and characterize the surfaces after manual [...] Read more.
Grooving or gouging is a process of thermal processing of metals or welded semi-finished products. The gouging process is generally used to process the root of butt welds to remove possible welding defects. The possibility to obtain and characterize the surfaces after manual and mechanized plasma cutting in the field of bridges and viaducts from highways to construction sites in order to increase the quality of butt-welded joints is analyzed in this article. In order to mechanize the process, a linear universal displacement device for welding, cutting, or slitting that ensures the uniform movement of the torch was designed and executed herein. As a result, with the help of this device and the tests performed on a construction steel S355J2 after mechanized plasma cutting, the cut samples obtained facilitated the analysis of the macrostructure and microstructure of the thermally influenced zone and of the intermediate zone between the thermally influenced zone and the base material as well as their hardness. By mechanizing the cutting process, the productivity and quality of the surfaces obtained by this process has increased. The plasma gouging process is an ecological process and by mechanizing it, the manufacturing cost can be reduced. Full article
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<p>Principle of thermal plasma gouging.</p>
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<p>Schematic diagram of manual plasma gouging.</p>
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<p>Linear advance device used for the mechanization of the plasma gouging process: (<b>a</b>) top view, (<b>b</b>) front view, (<b>c</b>) side view.</p>
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<p>Mechanized plasma gouging samples.</p>
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<p>The gouged piece (S355J2) with plasma: (<b>a</b>) manually, (<b>b</b>) mechanized.</p>
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<p>The macrostructure of the gouged piece with plasma: (<b>a</b>) manually, (<b>b</b>) mechanized, 25× magnification (500 µm scale).</p>
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<p>The microstructure of the gouged piece with plasma: (<b>a</b>) manually, (<b>b</b>) mechanized, 500× magnification (100 µm scale).</p>
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<p>The microstructure of the gouged piece with plasma: (<b>a</b>) manually, (<b>b</b>) mechanized, 500× magnification (100 µm scale).</p>
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<p>The microstructure of the base material zone of the workpiece by gouging with plasma: (<b>a</b>) manually, (<b>b</b>) mechanized, 500× magnification (100 µm scale).</p>
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<p>Mean values of the measured hardnesses within a confidence interval of ±5.</p>
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<p>Scanning Electron Microscope (SEM) image of the manually operated plasma-gouged (PManG) surface, 1000× magnification.</p>
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<p>EDAX spectrum obtained for the manually operated plasma-gouged (PManG) sample. On the vertical axis, the concentration [%] varies from 0 to 0.5%. On the horizontal axis, the layer’s spectrum range level [keV] varies from 0 to 20 keV.</p>
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<p>The distribution of the detected elements on the surface obtained by manually operated plasma gouging (60 µm scale).</p>
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<p>EDAX spectrum obtained for the mechanized plasma-gouged (PMechG) sample. On the vertical axis, the concentration [%] varies from 0 to 0.3%. On the horizontal axis, the layer’s spectrum range level [keV] varies from 0 to 20 keV.</p>
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<p>The distribution of detected elements on the surface obtained by mechanized plasma gouging (60 µm scale).</p>
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