Techniques for structural optimization under uncertain loading conditions.
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Techniques for structural optimization under uncertain loading conditions.

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Published by Department of Aerospace Science and Engineering, University of Toronto in Toronto .
Written in English


Book details:

The Physical Object
Pagination135 p.
Number of Pages135
ID Numbers
Open LibraryOL21816975M
ISBN 100612628930

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In this paper a unified approach for structural optimization with varying load directions will be presented that can be applied to a broad class of engineering optimization problems. The investigation was motivated by the fact that the optimal structure designs are frequently sensitive to the directional uncertainties of the applied by: For example, in structural optimization, most existing related studies dealing with multiple scenarios consider the existence of different scenarios as multiple loading conditions [3], [4], [5. An excellent book on structural optimization under uncertain loads. The book follows a simple and efficient way in handling structural optimization under uncertainty. Uncertainty in loads and variability in the structural properties are both treated.5/5(1). Structural engineering design optimization techniques uncertain(Chinese Edition) on *FREE* shipping on qualifying offers.

  A new approach to solving the robust topology optimization problem considering random field loading uncertainty was developed. The Karhunen-Loeve expansion was employed to characterize the random field as a reduced set of random variables. Efficient method of sensitivity analysis was developed and integrated into the density based topology optimization by:   This paper proposes a technique to optimize structural components for buckling when the applied loads are partially unknown or unpredictable. As opposed to the traditional buckling optimization situation where the loading configuration is specified, the load ratios are assumed uncertain and are incorporated as variables in the optimization problem by: 11th World Congress on Structural and Multidisciplinary Optimisation 07thth, June , Sydney Australia 1 A Novel Anti-optimization Method for Structural Robust Design under Uncertain Loads Zhifang Fu 1, Chunjie Wang1,2, Junpeng Zhao1 1School of Mechanical Engineering and Automation, Beihang University, Beijing , China; [email protected] () 30 A Heuristic is simply a rule of thumb that hopefully will find a good answer. Why use a Heuristic? Heuristics are typically used to solve complex optimization problems that are difficult to solve to optimality. Heuristics are good at dealing with local optima without getting stuck in them while searching for the global optimum.

INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING Int. J. Optim. Civil Eng., ; 5(4) 3D BENCHMARK RESULTS FOR ROBUST STRUCTURAL OPTIMIZATION UNDER U NCERTAINTY IN LOADING DIRECTIONS A. Csébfalvi Department of Structural Engineering, University of Pécs, Boszorkány 2, Pécs, Hungary ABSTRACTFile Size: KB. Integration of Finite Element Analysis and Numerical Optimization Schmif in was the first to offer a comprehensive statement of the use of mathematical programming techniques to solve the nonlinear, inequality constrained problem of designing elastic structures under a multiplicity of loading conditions. This work focus on optimization techniques with special emphasis on topics regarding structural optimization. The first Chapter is an introduction to concepts, terminology and prob-lems related to optimization procedures. Chapter Two covers different optimization methods, with specific em-phasis on the field of structural optimization. Most studies are focused on topology optimization techniques under external static loads. However, all forces are dynamic in real world. Mathematical optimization with dynamic loads is almost impossible in a large-scale problem. Thus, the bi-directional evolutionary structural optimization method (BESO) is extended to the topology optimization problem of structure under transient dynamic : Xiao Yan Teng, Jia Wei Tao, Jia Shan Han.