An Introduction to Structural Optimization
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 (finite 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 first order methods are central to the treatment. These methods are based on sensitivity analysis, i. e. , on establishing first order derivatives for - jectives and constraints. The classical first 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.
1101312080
An Introduction to Structural Optimization
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 (finite 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 first order methods are central to the treatment. These methods are based on sensitivity analysis, i. e. , on establishing first order derivatives for - jectives and constraints. The classical first 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.
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An Introduction to Structural Optimization

An Introduction to Structural Optimization

by Peter W. Christensen, A. Klarbring
An Introduction to Structural Optimization

An Introduction to Structural Optimization

by Peter W. Christensen, A. Klarbring

Hardcover(2009)

$59.99 
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Overview

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 (finite 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 first order methods are central to the treatment. These methods are based on sensitivity analysis, i. e. , on establishing first order derivatives for - jectives and constraints. The classical first 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.

Product Details

ISBN-13: 9781402086656
Publisher: Springer Netherlands
Publication date: 11/21/2008
Series: Solid Mechanics and Its Applications , #153
Edition description: 2009
Pages: 214
Product dimensions: 6.20(w) x 9.30(h) x 0.70(d)

Table of Contents

Examples of Optimization of Discrete Parameter Systems.- Basics of Convex Programming.- Sequential Explicit, Convex Approximations.- Sizing Stiffness Optimization of a Truss.- Sensitivity Analysis.- Two-Dimensional Shape Optimization.- Stiffness Optimization of Distributed Parameter Systems.- Topology Optimization of Distributed Parameter Systems.
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