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Today's biggest structural engineering challenge is to design stronger structures, and a key issue is the need to take an integrated approach that balances control of costs with the requirement for withstanding earthquakes and other dynamic forces. Structural optimization is based on rigorous mathematical formulation and requires computation alg
List of contents
1. Introduction to Structural Optimization 2. Fundamentals of Linear Programming 3. Linear Programming Optimization of Elastic Structural Systems 4. Introduction to Nonlinear Programming 5. Optimization of Rigid Frames 6. Gradient Based Search Techniques 7. Energy Distribution for Optimality Criterion 8. Generalized Optimality Criteria Approach 9. Generalized Optimality Criteria Applied to Statically and Dynamically Loaded Structural Systems 10. Generalized Optimality Criteria Techniques 11. Nondeterministic Structural Optimization and Parametric Assessments 12. Multiobjective Optimization with Genetic Algorithm, Fuzzy Logic and Game Theory. Appendices
About the author
Franklin Y. Cheng is Curators' Professor Emeritus at the Missouri University of Science and Technology, USA. He is a Distinguished Member of the American Society of Civil Engineers, and is the author of several books including Matrix Analysis of Structural Dynamics: Applications and Earthquake Engineering.
Kevin Z. Truman is Dean of the School of Computing and Engineering at the University of Missouri – Kansas City, USA.
Summary
Today’s biggest structural engineering challenge is to design stronger structures, and a key issue is the need to take an integrated approach that balances control of costs with the requirement for withstanding earthquakes and other dynamic forces. Structural optimization is based on rigorous mathematical formulation and requires computation alg
