Advances in Design Optimization

Editor : H. Adeli

Master eBook ISBN10 : 0-203-03864-9

Master eBook ISBN13 : 978-0-203-03864-2

No of illustrations : 250 line illus

No of pages :588

Originally Published : 24 Feb 1994

No of Copies : 5

Status : Available [You may read this title]

This book summarizes advances in a number of fundamental areas of optimization with application in engineering design. The selection of the 'best' or 'optimum' design has always been a major concern of designers and in recent years interest has grown in applying mathematical optimization techniques to design of large engineering and industrial systems, and in using the computer-aided design packages with optimization capabilities which are now available. Each chapter includes introductory materials so the book can be used as a textbook for graduate level courses on design optimization as well as by practising and research engineers.

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Table of contents : Preface. Biographies of contributors. Metric/imperial equivalents for common units.
Mathematical theory of optimum engineering design - S Hernandez. Introduction. Pattern of shape of the feasible region. Numerical methods to obtain local minima. The tunneling method in global optimization. References.
Optimality criteria methods for large discretized systems - G I N Rozvany and M Zhou. Introduction: why optimality criteria methods? Historical background and general features of the DCOC algorithm. Derivation of optimality criteria for the DCOC algorithm. Computational implementation of DCOC. Test examples solved by the DCOC method. A brief review of the COC algorithm. Concluding remarks. Acknowledgements. Appendix 2A: Notation. References.
Model reduction and verification - Panos Y Papalambros. Introduction. Modeling considerations prior to computation. Modeling example: a linear actuator. Modeling automation. Concluding remarks. Acknowledgements. References.
Generalized geometric programming and structural optimization - Scott A Burns and Narbey Khachaturian. Introduction. Generalized geometric programming. Application to shape optimization. Implementation of GGP for shape optimization. Conclusions. Appendix 4A: Conversion factors between US customary and SI units. References.
Nonlinear mixed integer programming - Manohar P Kamat and Luis Mesquita. Introduction. Nonlinear mixed integer programming. Application to a vibrating stiffened composite plate. Some recent methods for nonlinear mixed integer structural optimization problems. Concluding remarks. References.
Multicriterion structural optimization - Juhani Koski. Introduction. Pareto optimal design. Generation of Pareto optima. Analytic solution for statically determinate trusses. Decision-making process. Literature review. Industrial application and illustrative examples. Conclusion. References.
Multicriteria design optimization by goal programming - Eric Sandgren. Introduction. Problem classification. Problem formulation. Multiobjective optimization. Goal programming. Genetic optimization. Summary and conclusions. References.
Optimization of controlled structures - N S Khot. Introduction. Literature review. Analysis. Sensitivity calculations. Optimization steps. Numerical examples. Optimization programs. Concluding remarks. References.
Database design and management in engineering optimization - Jasbir S Arora. Introduction. Terminology and basic definitions. Database management concepts for design optimization. Database design techniques. Concluding remarks. References.
Optimization of topology - G I N Rozvany, M Zhou and O Sigmund. Introduciton: aims and significance of topology optimization. Optimal layout theory for grid-type structures - basic aspects. Optimal layout theory: analytical solutions for some simple self-adjoint problems. Least-weight grillages. Least-weight trusses (Michell structures). Discretized layout solutions obtained by iterative COC_DCOC methods. Extension of the DCOC algorithm to combinations of stress, displacement and natural frequency constraints with allowance for selfweight and structural mass. Generalized shape optimization. Solutions for several load conditions and non-self-adjoint problems. Concluding remarks. Acknowledgements. References.
Practical shape optimization for mechanical structures - Noboru Kikuchi and Kazuto Horimatsu. Introduction. Structural optimization procedure. Sensitivity analysis by the finite difference method. Shape optimization in structural design. Implementation of structural optimization. Examples of optimization by the present design systems. Remarks and conclusion. Acknowledgements. Appendix 11A: Sample program. References. Software bibliography.
Practical optimization of structural steel frameworks - Donald E Grierson. Introduction. Design formulation. Synthesis process. Optimization algorithm. Example applications. Concluding remarks. Acknowledgements. Appendix 12A: Section property relationships. Appendix 12B: Displacement and stress gradients. Appendix 12C: GOC method for discrete optimization. References.
Reliability-based structural optimization - Dan M Frangopol and Fred Moses. Introduction. Basic concepts and problem types. Basic reliability modeling. Element reliability-based optimization. Design code optimization. Analysis of system reliability. System reliability-based optimization. Multiobjective reliability-based optimization. Residual and damage-oriented reliablity-based optimization. Conclusions. Acknowledgements. References.
Index.

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