Structural and Multidisciplinary Optimization

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Special issue on design optimization—industrial applications
Structural and Multidisciplinary Optimization - Tập 35 - Trang 507-507 - 2008
Ren-Jye Yang, Hae Chang Gea, Wei Chen, Ming Zhou
Reliability based design with a degradation model of laminated composite structures
Structural and Multidisciplinary Optimization - Tập 12 - Trang 16-28 - 1996
C. A. Conceição António, A. Torres Marques, J. F. Gonçalves
Uncertainties in deviations of physical properties lead to a probabilistic failure analysis of the composite materials. The proposed optimization model for laminate composites is based on reliability analysis considering the ultimate failure state. To avoid difficulties associated with the complete analysis of the failure modes, bounds are established for the failure probability of the structural ...... hiện toàn bộ
A further review of ESO type methods for topology optimization
Structural and Multidisciplinary Optimization - Tập 41 - Trang 671-683 - 2010
Xiaodong Huang, Yi-Min Xie
Evolutionary Structural Optimization (ESO) and its later version bi-directional ESO (BESO) have gained widespread popularity among researchers in structural optimization and practitioners in engineering and architecture. However, there have also been many critical comments on various aspects of ESO/BESO. To address those criticisms, we have carried out extensive work to improve the original ESO/BE...... hiện toàn bộ
Announcement
Structural and Multidisciplinary Optimization - Tập 7 - Trang 102-102 - 1994
Development of multiple cycle coupling suspension in the optimization of complex systems
Structural and Multidisciplinary Optimization - Tập 22 - Trang 268-283 - 2001
K. English, C.L. Bloebaum, E. Miller
The design of complex engineering systems requires an initial decomposition of the system into subsystems. These systems are linked together by couplings, which represent output data transference from one subsystem to another. Because complex engineering systems can have hundreds or thousands of such couplings, the optimization of these systems is often quite difficult, if not impossible. To reduc...... hiện toàn bộ
Geometrical stiffness and sensitivity matrices for optimization of semi-rigid steel frameworks
Structural and Multidisciplinary Optimization - Tập 5 - Trang 95-99 - 1992
L. Xu
A geometrical stiffness matrix for a flexibly-connected member is developed for the analysis and design of semirigid framed structures when geometrical non-linearity (P — Δ effects and other second-order effects) must be considered. A “fixity factor” defining the rigidity of a connection relative to the attached member is introduced to model different types of member connectivity. The sensitivitie...... hiện toàn bộ
Topology optimization with worst-case handling of material uncertainties
Structural and Multidisciplinary Optimization - Tập 61 - Trang 1377-1397 - 2020
Jannis Greifenstein, Michael Stingl
In this article, a topology optimization method is developed, which is aware of material uncertainties. The uncertainties are handled in a worst-case sense, i.e., the worst possible material distribution over a given uncertainty set is taken into account for each topology. The worst-case approach leads to a minimax problem, which is analyzed throughout the paper. A conservative concave relaxation ...... hiện toàn bộ
Evolutionary topology optimization of continuum structures with stress constraints
Structural and Multidisciplinary Optimization - Tập 59 - Trang 647-658 - 2018
Zhao Fan, Liang Xia, Wuxing Lai, Qi Xia, Tielin Shi
In this work, we propose to extend the bi-directional evolutionary structural optimization (BESO) method for compliance minimization design subject to both constraints on volume fraction and maximum von Mises stress. To this end, the aggregated p-norm global stress measure is first adopted to approximate the maximum stress. The conventional compliance design objective is augmented with p-norm stre...... hiện toàn bộ
An active-learning method based on multi-fidelity Kriging model for structural reliability analysis
Structural and Multidisciplinary Optimization - Tập 63 - Trang 173-195 - 2020
Jiaxiang Yi, Fangliang Wu, Qi Zhou, Yuansheng Cheng, Hao Ling, Jun Liu
Active-learning surrogate model–based reliability analysis is widely employed in engineering structural reliability analysis to alleviate the computational burden of the Monte Carlo method. To date, most of these methods are built based on the single-fidelity surrogate model, such as the Kriging model. However, the computational burden of constructing a fine Kriging model may be still expensive if...... hiện toàn bộ
Buckling design optimization of built-up structures with shape and size variables
Structural and Multidisciplinary Optimization - Tập 21 - Trang 253-254 - 2014
J. Farkas, R.V. Grandhi, Y.X. Gu
Tổng số: 3,375   
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