Cost Optimization of Structures : Fuzzy Logic, Genetic Algorithms, and Parallel Computing

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Cost Optimization of Structures : Fuzzy Logic, Genetic Algorithms, and Parallel Computing

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  • 製本 Hardcover:ハードカバー版/ページ数 203 p.
  • 言語 ENG
  • 商品コード 9780470867334
  • DDC分類 721.042

基本説明

Focuses on novel computing techniques such as genetic algorithms, neurocomputing, and parallel computing.

Full Description


While the weight of a structure constitutes a significant part of the cost, a minimum weight design is not necessarily the minimum cost design. Little attention in structural optimization has been paid to the cost optimization problem, particularly of realistic three-dimensional structures. Cost optimization is becoming a priority in all civil engineering projects, and the concept of Life-Cycle Costing is penetrating design, manufacturing and construction organizations. In this groundbreaking book the authors present novel computational models for cost optimization of large scale, realistic structures, subjected to the actual constraints of commonly used design codes.As the first book on the subject this book: * Contains detailed step-by-step algorithms * Focuses on novel computing techniques such as genetic algorithms, fuzzy logic, and parallel computing * Covers both Allowable Stress Design (ASD) and Load and Resistance Factor Design (LRFD) codes * Includes realistic design examples covering large-scale, high-rise building structures * Presents computational models that enable substantial cost savings in the design of structures Fully automated structural design and cost optimization is where large-scale design technology is heading, thus Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithms, and Parallel Computing will be of great interest to civil and structural engineers, mechanical engineers, structural design software developers, and architectural engineers involved in the design of structures and life-cycle cost optimisation. It is also a pioneering text for graduate students and researchers working in building design and structural optimization.

Table of Contents

    Preface.
Acknowledgments.
About the Authors.
Introduction.
1.1 The Case for Cost Optimization.
1.2 Cost Optimization of Concrete
Structures.
1.3 Cost Optimization of Steel Structures.
2 Evolutionary Computing and Genetic
Algorithm.
2.1 Overview and Basic Operations.
2.2 Coding and Decoding.
2.3 Basic Operations in Genetic Algorithm.
2.4 GA with Penalty Function Method.
2.5 Augmented LaGrange Method.
2.6 GA with Augmented Lagrangian Method.
3 Cost Optimization of Composite Floors.
3.1 Introduction.
3.2 Minimum Cost Design of Composite Beams.
3.3 Solution by Floating-Point Genetic
Algorithm.
3.4 Solution by Neural Dynamics Method.
3.5 Counter Propagation Neural (CPN)
Network.
For Function Approximation.
3.6Examples.
4 Fuzzy Genetic Algorithm for Optimization
of Steel Structures.
4.1 Introduction.
4.2 Fuzzy Set Theory and Structural
Optimization.
4.3 Minimum Weight Design of Axially Loaded
Space Structures.
4.4 Fuzzy Membership Functions.
4.5 Fuzzy Augmented Lagrangian Genetic
Algorithm.
4.6 Implementation and Examples.
4.7 Conclusion.
5 Fuzzy Discrete Multi-criteria Cost
Optimization of Steel Structures.
5.1 Cost of a Steel Structure.
5.2 Cost of a Steel Structure and the
Primary Contributing Factors.
5.3 Fuzzy Discrete Multi-criteria Cost
Optimization.
5.4 Membership Functions.
5.5 Fuzzy Membership Functions for Criteria
with Unequal Importance.
5.6 Pareto Optimality.
5.7 Selection of Commercially Available
Discrete Shapes.
5.8 Implementation and Parametric Study.
5.9 Application to High-rise Steel
Structures.
5.10 Concluding Comments.
6 Parallel Computing.
6.1 Multiprocessor Computing Environment.
6.2 Parallel Processing Implementation
Environment.
6.3 Performance Optimization of Parallel
Programs.
7 Parallel Fuzzy Genetic Algorithm for Cost
Optimization of Large Steel Structures.
7.1 Genetic Algorithm and Parallel
Processing.
7.2 Cost Optimization of Moment-Resisting
Steel Space Structures.
7.3 Data Parallel Fuzzy Genetic Algorithm
for Optimization of Steel Structures Using
OpenMP.
7.4 Distributed Parallel Fuzzy Genetic
Algorithm for Optimization of Steel
Structures Using MPI.
7.5 Bi-level Parallel Fuzzy GA for
Optimization of Steel Structures Using
OpenMP and MPI.
7.6 Application to High-rise Building Steel
Structures.
7.7 Parallel Processing Performance
Evaluation.
7.8 Concluding Comments.
8. Life Cycle Cost Optimization of Steel
Structures.
8.1 Introduction.
8.2 Life Cycle Cost of a Steel Structure
and the Primary Contributing Factors.
8.3 Formulation of Total Life Cycle Cost.
8.4 Fuzzy Discrete Multi-criteria Life
Cycle Cost Optimization.
8.5 Application to a High-rise Building
Steel Structure.
Appendix A.
Cross-sectional areas, perimeter, and costs
in US dollars for different W-shapes used
for axially loaded members.
Appendix B.
Cross-sectional areas, perimeter, and costs
in US dollars for different W-shapes used
for laterally loaded members.
References.
Index.9780470867334