Structural Optimization Fundamentals And Applications


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Structural Optimization


Structural Optimization

Author: Uri Kirsch

language: en

Publisher: Springer

Release Date: 1993


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"This book introduces the fundamental concepts and practical applications of modern structural optimization. It presents, in a unified approach, recent developments in the area. The text addresses both the student and the practising structural engineer. The book discusses in detail alternative problem formulations, the relative merits of different optimization methods and various considerations related to structural design. The emphasis throughout is on approximation concepts, which are essential for the solution of many practical design problems. It demonstrates how various formulations, methods and approximations are integrated to achieve effective design procedures. The advantages as well as the limitations of the different approaches are discussed and illustrated by numerous examples."--Back cover.

Design-Oriented Analysis of Structures


Design-Oriented Analysis of Structures

Author: Uri Kirsch

language: en

Publisher: Springer Science & Business Media

Release Date: 2006-04-11


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This book was developed while I was teaching graduate courses on analysis, design and optimization of structures, in the United States, Europe and Israel. Structural analysis is a main part of any design problem, and the analysis often must be repeated many times during the design process. Much work has been done on design-oriented analysis of structures recently and many studies have been published. The purpose of the book is to collect together selected topics of this literature and to present them in a unified approach. It meets the need for a general text covering the basic concepts and methods as well as recent developments in this area. This should prove useful to students, researchers, consultants and practicing engineers involved in analysis and design of structures. Previous books on structural analysis do not cover most of the material presented in the book. The book deals with the problem of multiple repeated analyses (reanalysis) of structures that is common to numerous analysis and design tasks. Reanalysis is needed in many areas such as structural optimization, analysis of damaged structures, nonlinear analysis, probabilistic analysis, controlled structures, smart structures and adaptive structures. It is related to a wide range of applications in such fields as Aerospace Engineering, Civil Engineering, Mechanical Engineering and Naval Architecture.

An Introduction to Structural Optimization


An Introduction to Structural Optimization

Author: Peter W. Christensen

language: en

Publisher: Springer Science & Business Media

Release Date: 2008-10-20


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This book has grown out of lectures and courses given at Linköping University, Sweden, over a period of 15 years. It gives an introductory treatment of problems and methods of structural optimization. The three basic classes of geometrical - timization problems of mechanical structures, i. e. , size, shape and topology op- mization, are treated. The focus is on concrete numerical solution methods for d- crete and (?nite element) discretized linear elastic structures. The style is explicit and practical: mathematical proofs are provided when arguments can be kept e- mentary but are otherwise only cited, while implementation details are frequently provided. Moreover, since the text has an emphasis on geometrical design problems, where the design is represented by continuously varying—frequently very many— variables, so-called ?rst order methods are central to the treatment. These methods are based on sensitivity analysis, i. e. , on establishing ?rst order derivatives for - jectives and constraints. The classical ?rst order methods that we emphasize are CONLIN and MMA, which are based on explicit, convex and separable appro- mations. It should be remarked that the classical and frequently used so-called op- mality criteria method is also of this kind. It may also be noted in this context that zero order methods such as response surface methods, surrogate models, neural n- works, genetic algorithms, etc. , essentially apply to different types of problems than the ones treated here and should be presented elsewhere.