[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Seemab et al., 2023 - Google Patents

Automated detection of propagating cracks in RC beams without shear reinforcement based on DIC-controlled modeling of damage localization

Seemab et al., 2023

View PDF
Document ID
3611509776285501852
Author
Seemab F
Schmidt M
Baktheer A
Classen M
Chudoba R
Publication year
Publication venue
Engineering Structures

External Links

Snippet

In spite of an extensive research in the past few decades, design of beams without shear reinforcement is still considered to be a challenging task. With the goal of developing realistic and simple engineering models, many researchers have contributed to the …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • G06F17/5018Computer-aided design using simulation using finite difference methods or finite element methods
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0058Kind of property studied
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/02Details not specific for a particular testing method
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00Investigating strength properties of solid materials by application of mechanical stress
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/04Analysing solids
    • G01N29/06Visualisation of the interior, e.g. acoustic microscopy
    • G01N29/0654Imaging
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00Investigating or analysing materials by the use of wave or particle radiation not covered by G01N21/00 or G01N22/00, e.g. X-rays or neutrons
    • G01N23/02Investigating or analysing materials by the use of wave or particle radiation not covered by G01N21/00 or G01N22/00, e.g. X-rays or neutrons by transmitting the radiation through the material
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F2217/00Indexing scheme relating to computer aided design [CAD]
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical means

Similar Documents

Publication Publication Date Title
Liu et al. Intelligent monitoring of spatially-distributed cracks using distributed fiber optic sensors assisted by deep learning
Rezaie et al. Comparison of crack segmentation using digital image correlation measurements and deep learning
Bayar et al. A novel study for the estimation of crack propagation in concrete using machine learning algorithms
Seemab et al. Automated detection of propagating cracks in RC beams without shear reinforcement based on DIC-controlled modeling of damage localization
Ijjeh et al. Full wavefield processing by using FCN for delamination detection
Hamdan et al. A semantic modeling approach for the automated detection and interpretation of structural damage
Hao et al. Highly accurate and automatic semantic segmentation of multiple cracks in engineered cementitious composites (ECC) under dual pre-modification deep-learning strategy
Dizaji et al. Subsurface damage detection and structural health monitoring using digital image correlation and topology optimization
Zhu et al. A hybrid DIC–EFG method for strain field characterization and stress intensity factor evaluation of a fatigue crack
Ruocci et al. Digital Image Correlation and Noise‐filtering Approach for the Cracking Assessment of Massive Reinforced Concrete Structures
Bornert et al. Digital image correlation (chapter 6)
Hild et al. Displacement measurement technique for beam kinematics
Vy et al. Damage localization using acoustic emission sensors via convolutional neural network and continuous wavelet transform
Sandhu et al. A Bayesian framework for assessing the strength distribution of composite structures with random defects
Long et al. A deep learning-based fatigue crack growth rate measurement method using mobile phones
Das et al. Application of deep convolutional neural networks for automated and rapid identification and computation of crack statistics of thin cracks in strain hardening cementitious composites (SHCCs)
Fang et al. The fracture mechanics of cantilever beams with an embedded sharp crack under end force loading
Das et al. On the crack characterization of reinforced concrete structures: Experimental and data-driven numerical study
Oats et al. Digital image correlation advances in structural evaluation applications: a review
Ciminello et al. Impact area and debonding line detection assessment by cross-correlation analysis and distributed sensing
Shafiei Dizaji et al. Image-based tomography of structures to detect internal abnormalities using inverse approach
Hamidia et al. Computer vision-based quantification of updated stiffness for damaged RC columns after earthquake
CN103837533A (en) Method for concrete temperature monitoring and simulation back analysis based on thermal imager
Chang et al. Tomographic damage imaging based on inverse acoustic wave propagation using k-space method with adjoint method
Hild et al. Calibration of constitutive models of steel beams subject to local buckling by using digital image correlation