Results 141 to 150 of about 384,022 (208)
Some of the next articles are maybe not open access.
APPLICATION OF TOPOLOGICAL OPTIMIZATION TECHNIQUES TO STRUCTURAL CRASHWORTHINESS
International Journal for Numerical Methods in Engineering, 1994Abstract The topological optimization of components to maximize crash energy absorption for a given volume is considered. The crash analysis is performed using a DYNA3D finite element analysis. The original solid elements are replaced by ones with holes, the hole size being characterized by a so-called density (measure of the reduced ...
Mayer, R. R., Kikuchi, N., Scott, R. A.
openaire +2 more sources
Mechanics based design of structures and machines
This article proposes an efficient parameterized level set method (PLSM) for structural topology optimization design with minimum compliance as the objective function and volume fraction as the constraint condition.
Xiao-Bing Wang +3 more
semanticscholar +1 more source
This article proposes an efficient parameterized level set method (PLSM) for structural topology optimization design with minimum compliance as the objective function and volume fraction as the constraint condition.
Xiao-Bing Wang +3 more
semanticscholar +1 more source
Optimal Topologies of Structures
Applied Mechanics Reviews, 1989Topological design, where the member connectivity is sought in addition to member sizing, is perhaps the most challenging and economically the most rewarding of the structural optimization tasks. Due to the basic difficulties involved in the solution process, various simplifications and approximations are often considered. The present review introduces
openaire +1 more source
A CAD-oriented structural topology optimization method
, 2020In this paper, we develop a CAD-oriented topology optimization method incorporating directly the CAD model into the feature-driven optimization (FDO) framework.
Lipeng Jiu +4 more
semanticscholar +1 more source
Deep super-resolution neural network for structural topology optimization
Engineering optimization (Print), 2020A deep-learning approach is proposed to predict an optimized high-resolution structure with multi-boundary conditions. An enhanced deep super-resolution (SR) neural network and a convolutional neural network are constructed and trained to establish the ...
Chunpeng Wang +3 more
semanticscholar +1 more source
Size and Topology Optimization of Structures
2021In the first part of this paper, the results of size optimization of truss are given. A minimum mass was required as an objective function. Four optimization methods were used in optimization: nonlinear programming, genetic algorithms, particle swarm optimization and ant colony optimization. The obtained results are presented in the corresponding table.
Ermin Husak, Mehmed Mahmić
openaire +1 more source
Non-iterative structural topology optimization using deep learning
Comput. Aided Des., 2019This paper presents a non-iterative topology optimizer for conductive heat transfer structures with the help of deep learning. An artificial neural network is trained to deal with the black-and-white pixel images and generate near-optimal structures. Our
Baotong Li +4 more
semanticscholar +1 more source
Enhancing structural topology optimization
Engineering Computations, 2001The goal of structural optimization is to find the best possible configuration that minimizes the objective function and satisfies a set of constraints. Here we present a method based on the evolutionary structural optimization method, where the quality of the solution is improved by avoiding the chain‐like sets of elements which are sources of ...
Akin, J. E., Arjona-Baez, Javier
openaire +2 more sources
Topology optimization of multi-purpose structures
Mathematical Methods of Operations Research, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Computer Methods in Applied Mechanics and Engineering, 2019
In the present work, we intend to show how to perform structural topology optimization under finite deformation with the use of explicit geometry description. To this end, a Moving Morphable Void (MMV)-based approach is developed.
Riye Xue +6 more
semanticscholar +1 more source
In the present work, we intend to show how to perform structural topology optimization under finite deformation with the use of explicit geometry description. To this end, a Moving Morphable Void (MMV)-based approach is developed.
Riye Xue +6 more
semanticscholar +1 more source