Structural Optimization
Dynamic and Seismic Applications
- 708 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
Today's biggest structural engineering challenge is to design better structures, and a key issue is the need to take an integrated approach which balances control of costs with the requirement for handling earthquakes and other dynamic forces. Structural optimization is based on rigorous mathematical formulation and requires computation algorithms for sizing structural elements and synthesizing systems. Now that the right software and enough computing power are readily available, professionals can now develop a suite of alternative designs and a select suitable one.
A thoroughly-written and practical book on structural optimization is long overdue. This solid book comprehensively presents current optimization strategies, illustrated with sufficient examples of the design of elements and systems and presenting descriptions of the process and results. Emphasis is given to dynamic loading, in particular to seismic forces.
Researchers and practising engineers will find this book an excellent reference, and advanced undergraduates or graduate students can use it as a resource for structural optimization design.
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Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright
- Preface
- Acknowledgements
- Authors
- List of notations
- List of abbreviations
- 1 Introduction
- 2 Fundamentals of linear programming
- 3 Linear programming optimization of elastic structural systems
- 4 Introduction to nonlinear programming
- 5 Optimization of rigid frames with P − Δ effects for static and dynamic loads
- 6 Gradient-based search techniques
- 7 Energy distribution algorithm for optimality-criteria method and optimization of 2-D seismic resistant frames
- 8 Generalized optimality-criteria approach
- 9 Generalized optimality criteria applied to statically and dynamically loaded structural systems
- 10 Generalized optimality-criteria application to topological design, pile foundations, damage detection and structural identification
- 11 Nondeterministic structural optimization and parametric assessments
- 12 Multi-objective optimization with genetic algorithm, fuzzy logic and game theory
- Appendix A: Illustration of linear programming for feasible direction vector of Example 5.6.1
- Appendix B: Newton’s backward difference for calculating the acceleration and velocity at time tn
- Appendix C: Interpolation formulas
- Appendix D: Illustration of linear programming for feasible direction vector of Example 5.8.1
- Appendix E: Newmark’s spectra
- Appendix F: Equivalent lateral force procedure
- Appendix G: Derivation of mean and variance of LNR or LNS
- Appendix H: Equivalent uniform distributed load
- Appendix I: Probability distribution of peak acceleration
- Appendix J: Flow chart of interior-penalty-function algorithm
- Appendix K: Explanation of notes I through XIX in Table 11.2
- Index