Adeli / Sarma Cost Optimization of Structures

Fuzzy Logic, Genetic Algorithms, and Parallel Computing
1. Auflage 2006
ISBN: 978-0-470-86734-1
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 222 Seiten, E-Book

While the weight of a structure constitutes a significant part ofthe cost, a minimum weight design is not necessarily the minimumcost design. Little attention in structural optimization has beenpaid to the cost optimization problem, particularly of realisticthree-dimensional structures. Cost optimization is becoming apriority in all civil engineering projects, and the concept ofLife-Cycle Costing is penetrating design, manufacturing andconstruction organizations.

In this groundbreaking book the authors present novelcomputational models for cost optimization of large scale,realistic structures, subjected to the actual constraints ofcommonly 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 geneticalgorithms, fuzzy logic, and parallel computing

* Covers both Allowable Stress Design (ASD) and Load andResistance Factor Design (LRFD) codes

* Includes realistic design examples covering large-scale,high-rise building structures

* Presents computational models that enable substantial costsavings in the design of structures

Fully automated structural design and cost optimization is wherelarge-scale design technology is heading, thus Cost Optimizationof Structures: Fuzzy Logic, Genetic Algorithms, and ParallelComputing will be of great interest to civil and structuralengineers, mechanical engineers, structural design softwaredevelopers, and architectural engineers involved in the design ofstructures and life-cycle cost optimisation. It is also apioneering text for graduate students and researchers working inbuilding design and structural optimization.

Autoren/Hrsg.

Adeli, Hojjat

Sarma, Kamal

Inhaltsverzeichnis

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 SteelStructures.
4.1 Introduction.
4.2 Fuzzy Set Theory and Structural Optimization.
4.3 Minimum Weight Design of Axially Loaded SpaceStructures.
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 SteelStructures.
5.1 Cost of a Steel Structure.
5.2 Cost of a Steel Structure and the Primary ContributingFactors.
5.3 Fuzzy Discrete Multi-criteria Cost Optimization.
5.4 Membership Functions.
5.5 Fuzzy Membership Functions for Criteria with UnequalImportance.
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 ofLarge Steel Structures.
7.1 Genetic Algorithm and Parallel Processing.
7.2 Cost Optimization of Moment-Resisting Steel SpaceStructures.
7.3 Data Parallel Fuzzy Genetic Algorithm for Optimization ofSteel Structures Using OpenMP.
7.4 Distributed Parallel Fuzzy Genetic Algorithm forOptimization of Steel Structures Using MPI.
7.5 Bi-level Parallel Fuzzy GA for Optimization of SteelStructures 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 PrimaryContributing Factors.
8.3 Formulation of Total Life Cycle Cost.
8.4 Fuzzy Discrete Multi-criteria Life Cycle CostOptimization.
8.5 Application to a High-rise Building Steel Structure.
Appendix A.
Cross-sectional areas, perimeter, and costs in US dollars fordifferent W-shapes used for axially loaded members.
Appendix B.
Cross-sectional areas, perimeter, and costs in US dollars fordifferent W-shapes used for laterally loaded members.
References.
Index.