Topology optimization of microstructures with perturbation analysis and penalty methods
Topology optimization at the continuum nano/microscale is of wide interest in designing and developing more efficient micro/nano electromechanical systems. This paper presents a new methodology for topology optimization of microstructures that is ...
Topology optimization of connectable microstructure using enlarged connective domain
Advances in 3D-printing technology have made it possible to manufacture structures containing periodic microstructures (lattice structures) and obtain superior mechanical performance that cannot be provided with uniform solids. To achieve the best ...
A temperature-robust level-set approach for eigenfrequency optimization
The optimization of target eigenfrequencies is crucial for several engineering applications, including dynamical systems. Micro-electro-mechanical systems (MEMS) used in time-keeping applications, for example, require exceptional frequency ...
New bubble sampling method for reliability analysis
In recent years, the safety of engineering systems is seriously threatened by increasingly complex and uncertain engineering environment, and the reliability analysis of engineering structure has attracted increasing attention. The sampling ...
New learning functions for active learning Kriging reliability analysis using a probabilistic approach: KO and WKO functions
Reducing the cost of calculation without compromising the accuracy of the solution is a recognized challenge for optimizing the reliability analysis, which became possible using surrogate models trained with robust techniques, such as active ...
Machine learning-based crashworthiness optimization for the square cone energy-absorbing structure of the subway vehicle
This paper presents a novel framework for predicting the crashworthiness of a square cone energy-absorbing (SCEA) structure using a machine-learning method. The structure consists of an anti-creep, a thin-walled structure with nonuniform thickness,...
Quasi-Newton corrections for compliance and natural frequency topology optimization problems
Sequential quadratic programming and interior point methods are effective general purpose optimization algorithms that sometimes exhibit poor performance in topology optimization applications. We postulate that this performance behavior stems from ...
Multi-fidelity optimization of metal sheets concerning manufacturability in deep-drawing processes
Multi-fidelity optimization, which complements an expensive high-fidelity function with cheaper low-fidelity functions, has been successfully applied in many fields of structural optimization. In the present work, an exemplary cross-die deep-...
Interval parameter sensitivity analysis based on interval perturbation propagation and interval similarity operator
- Yanlin Zhao,
- Xindong Li,
- Scott Cogan,
- Jiahui Zhao,
- Jianhong Yang,
- Debin Yang,
- Jinqi Shang,
- Bing Sun,
- Lechang Yang
An interval parameter sensitivity analysis is developed to quantify the impact of simulation model parameters on the model outputs. This sensitivity analysis contains two main steps: the interval uncertainty propagation and the interval ...
On the influence of free space in topology optimization of electro-active polymers
This study investigates the impact of the surrounding free space on the topology optimization (TO) of electro-active polymers (EAPs). It is well understood that, under the application of an electric field, the deformation of an EAP is not solely ...
A sequential algorithm for decoupling the multidisciplinary constraints of hypersonic vehicle structural optimization design in a thermal environment
Aiming at the multidisciplinary coupling problem in the design of hypersonic vehicles, especially a series of effects caused by the coupling of aerodynamic heat and structural strength, the development of a multidisciplinary coupling analysis and ...
On simultaneous analysis and design optimization for seismic retrofitting with fluid viscous dampers
This brief note presents a novel approach to the optimization of fluid viscous dampers for seismic retrofitting applications. The size and placement of fluid viscous dampers is defined using a simultaneous analysis and design (SAND) optimization ...
Time-dependent system reliability analysis using adaptive single-loop Kriging with probability of rejecting classification
In this paper, a new single-loop active learning Kriging method with probability of rejecting classification is proposed for solving time-dependent system reliability analysis problems. The proposed method aims at making full use of the response ...
Application of state-of-the-art multiobjective metaheuristic algorithms in reliability-based design optimization: a comparative study
Multiobjective reliability-based design optimization (RBDO) is a research area, which has not been investigated in the literatures comparing with single-objective RBDO. This work conducts an exhaustive study of fifteen new and popular ...
A guided evolution strategy for discrete sizing optimization of space steel frames
In this paper, a new design-driven hybrid optimization algorithm called guided evolution strategy (GES) is proposed for a reliable and rapid optimum design of space steel frames. The rationale behind the proposed GES algorithm is to improve ...
Optimization-based seismic design of irregular self-centering moment resisting frames with ED bars or fluid viscous dampers
This paper presents an optimization approach for the preliminary seismic design of self-centering moment resisting frames (SC-MRFs). Two problems are tackled herein: The design of SC-MRFs with energy dissipation (ED) bars at the beam-column ...
Optimization design for 3D-braided composite structure under thermo-mechanical load
In this work, a novel optimization method is proposed to pursue high-performance 3D-braided composite structure under thermo-mechanical loads, which optimizes structural topology and braiding parameters concurrently. To realize such design under ...
Multi-objective parametric optimization of a composite high-performance prostheses using metaheuristic algorithms
With the rapid advancement of technology and computing, numerous processes and products have been developed to achieve improved performance at a lower cost and/or reduced material usage. Orthopedic prostheses, benefiting from the discovery of new ...
Form-finding and determining geodesic seam lines using the updated weight method for tensile membrane structures with strut and anchorage supports
Tensile membrane structures (TMS) consist of the membrane fabric, supporting frame, cables and strut elements. The initial shape of a TMS is not known beforehand and has to be found by a process of ‘form-finding’. The majority of form-finding ...
Flow characteristic optimization of a multi-stage orifice plate using surrogate-based modeling and Bayesian optimization
The efficient design of a throttle element is still a challenging open problem in fluid flow engineering, considering the flow characteristics, turbulence, and cavitation phenomenon. An optimization framework based on the Optimized Latin Hypercube ...