2 edition of Techniques for structural optimization under uncertain loading conditions. found in the catalog.
Techniques for structural optimization under uncertain loading conditions.
by Department of Aerospace Science and Engineering, University of Toronto in Toronto
Written in English
|The Physical Object|
|Number of Pages||135|
This work1 presents the optimization of a frame under uncertain loadings when two design criteria are taken simultaneously into account. The uncertainty relates to the applied loading and is inherent to the operation of structures since real structures are designed to sustain a large variety of load cases of practical relevance. The purpose of this book is to introduce the fundamentals, methods and applications of structural optimization. Much work has been done and many studies have been published on structural optimization in recent years. The book is an attempt to collect together selected topics of this literature and to present them in a unified approach. It meets the need for an introductory text covering the.
Lei Li and Kapil Khandelwal, Design of fracture resistant energy absorbing structures using elastoplastic topology optimization, Structural and Multidisciplinary Optimization, /sz, 56, 6, (), (). Summary. Uncertainties play a dominant role in the design and optimization of structures and infrastructures. In optimum design of structural systems due to variations of the material, manufacturing variations, variations of the external loads and modelling uncertainty, the parameters of a structure, a structural system and its environment are not given, fixed coefficients, but random.
It shows how various optimization techniques are used in the novel anti-optimization technique, and how the structural optimization can be exponentially enhanced by incorporating the concept of worst-case scenario, thereby increasing the safety of the structures designed in various fields of engineering. show more. Robust Structural Optimization of Stochastic Dynamical Systems H. A. Jensen, M.A. Valdebenito, D.S. Kusanovic, J. Sepulveda Santa Maria University, Valparaiso, Chile, @ Abstract A method to carry out reliability-based optimization of uncertain structural systems under stochastic excitation is presented.
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Introduction. Structural topology optimization is a powerful tool for discovering new solutions to engineering design problems. It can be used to identify the optimal distribution of material within a design domain that is subjected to loads and support boundary by: A new efficient and accurate approach to robust structural topology optimization is developed in this work.
The objective is to minimize the expected compliance of structures under loading. 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 , , [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, JuneSydney 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, BeijingChina; [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. 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. " "Structural Optimization. " Kocer Fatma Y.
Arora Jasbir S. " Optimal Design of Latticed Towers Subjected to Earthquake Loading. " Journal of Structural Engineering /(ASCE)()() Online publication date: February Savic Vesna Tuttle Mark E.
Zabinsky Zelda B. " Optimization of composite I-sections using fiber. these techniques is to achieve robust designs which are not susceptible to failure under unexpected conditions [13, 18]. In the present work, the cross-sectional shape of a beam is optimized under a combination of deterministic and uncertain transverse loads.
The optimization method involves a minimax formulation where the objective is. Structural Optimizat @ Springer-Voting Optimal topology design of structures under dynamic loads* S. Min and N. Kikuchi Department of Mechanical Engineering and Applied Mechanics, The University of Michigan, Ann Arbor, MIUSA Y.C.
Park, S. Kim and S. ChangCited by: The remainder of this paper is organized as follows. A detailed discussion of the employed robust optimization under uncertainty framework is provided in Section II.
The structural optimization of the wing of a ghter airplane is considered as the model application. The current e. An introduction-to-structural-optimization 1. An Introduction to Structural Optimization 2.
SOLID MECHANICS AND ITS APPLICATIONS Volume Series Editor: G.M.L. GLADWELL Department of Civil Engineering University of Waterloo Waterloo, Ontario, Canada N2L 3GI Aims and Scope of the Series The fundamental questions arising in mechanics are: Why?, How?, and How.
Throughout the past few years, there has been extensive research done on structural design in terms of optimization methods or problem formulation. But, much of this attention has been on the linear elastic structural behavior, under static loading condition.
We present an algorithm for shape optimization under stochastic loading and representative numerical results. Our strategy builds upon a combination of techniques from two-stage stochastic programming and level-set-based shape optimization.
In particular, usage of linear elasticity and quadratic objective functions permits us to obtain a computational cost which scales linearly in the number Cited by: 11th World Congress on Structural and Multidisciplinary Optimisation 07 th, JuneSydney 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, BeijingChina; [email protected], structural design is often based on design response spectra of the region of interest and on some simplified assumptions on the structural behaviour under earth-quake.
In this test example the reliability-based sizing optimization of multistorey steel frames under seismic loading is investigated, in which the optimization part of RBDO.