Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low-cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are commonly large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems.
This book examines the latest developments of metaheuristics and their applications in structural engineering, construction engineering and earthquake engineering, offering practical case studies as examples to demonstrate real-world applications. Topics cover a range of areas within engineering, including big bang-big crunch approach, genetic algorithms, genetic programming, harmony search, swarm intelligence and some other metaheuristic methods. Case studies include structural identification, vibration analysis and control, topology optimization, transport infrastructure design, design of reinforced concrete, performance-based design of structures and smart pavement management. With its wide range of everyday problems and solutions, Metaheursitic Applications in Structures and Infrastructures can serve as a supplementary text for design courses and computation in engineering as well as a reference for researchers and engineers in metaheuristics, optimization in civil engineering and computational intelligence.
1. Cover image 2. Title page 3. Table of Contents 4. Copyright 5. List of Contributors 6. 1. Metaheuristic Algorithms in Modeling and Optimization 7. 2. A Review on Traditional and Modern Structural Optimization: Problems and Techniques 8. 3. Particle Swarm Optimization in Civil Infrastructure Systems: State-of-the-Art Review 9. Part One: Structural Design 10. 4. Evolution Strategies-Based Metaheuristics in Structural Design Optimization 11. 5. Multidisciplinary Design and Optimization Methods 12. 6. Cost Optimization of Column Layout Design of Reinforced Concrete Buildings 13. 7. Layout Design of Beam–Slab Floors by a Genetic Algorithm 14. 8. Optimum Design of Skeletal Structures via Big Bang–Big Crunch Algorithm 15. 9. Truss Weight Minimization Using Hybrid Harmony Search and Big Bang–Big Crunch Algorithms 16. 10. Graph Theory in Evolutionary Truss Design Optimization 17. 11. Element Exchange Method for Stochastic Topology Optimization 18. Part Two: Structural Control and Identification 19. 12. Evolutionary Path-Dependent Damper Optimization for Variable Building Stiffness Distributions 20. 13. Application of Genetic Algorithms in Ground Motion Selection for Seismic Analysis 21. 14. Optimization of Tuned Mass Damper with Harmony Search 22. 15. Identification of Passive Devices for Vibration Control by Evolutionary Algorithms 23. 16. Structural Optimization for Frequency Constraints 24. 17. Optimum Performance-Based Seismic Design of Frames Using Metaheuristic Optimization Algorithms 25. 18. Expression Programming Techniques for Formulation of Structural Engineering Systems 26. 19. An Evolutionary Divide-and-Conquer Strategy for Structural Identification 27. Part Three: Construction Management and Maintenance 28. 20. Swarm Intelligence for Large-Scale Optimization in Construction Management 29. 21. Network-Level Infrastructure Management Based on Metaheuristics 30. 22. Large-Scale Maintenance Optimization Problems for Civil Infrastructure Systems 31. 23. Metaheuristic Applications in Bridge Infrastructure Maintenance Scheduling Considering Stochastic Aspects of Deterioration
Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low-cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are commonly large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems.
This book examines the latest developments of metaheuristics and their applications in structural engineering, construction engineering and earthquake engineering, offering practical case studies as examples to demonstrate real-world applications. Topics cover a range of areas within engineering, including big bang-big crunch approach, genetic algorithms, genetic programming, harmony search, swarm intelligence and some other metaheuristic methods. Case studies include structural identification, vibration analysis and control, topology optimization, transport infrastructure design, design of reinforced concrete, performance-based design of structures and smart pavement management. With its wide range of everyday problems and solutions, Metaheursitic Applications in Structures and Infrastructures can serve as a supplementary text for design courses and computation in engineering as well as a reference for researchers and engineers in metaheuristics, optimization in civil engineering and computational intelligence.
1. Cover image 2. Title page 3. Table of Contents 4. Copyright 5. List of Contributors 6. 1. Metaheuristic Algorithms in Modeling and Optimization 7. 2. A Review on Traditional and Modern Structural Optimization: Problems and Techniques 8. 3. Particle Swarm Optimization in Civil Infrastructure Systems: State-of-the-Art Review 9. Part One: Structural Design 10. 4. Evolution Strategies-Based Metaheuristics in Structural Design Optimization 11. 5. Multidisciplinary Design and Optimization Methods 12. 6. Cost Optimization of Column Layout Design of Reinforced Concrete Buildings 13. 7. Layout Design of Beam–Slab Floors by a Genetic Algorithm 14. 8. Optimum Design of Skeletal Structures via Big Bang–Big Crunch Algorithm 15. 9. Truss Weight Minimization Using Hybrid Harmony Search and Big Bang–Big Crunch Algorithms 16. 10. Graph Theory in Evolutionary Truss Design Optimization 17. 11. Element Exchange Method for Stochastic Topology Optimization 18. Part Two: Structural Control and Identification 19. 12. Evolutionary Path-Dependent Damper Optimization for Variable Building Stiffness Distributions 20. 13. Application of Genetic Algorithms in Ground Motion Selection for Seismic Analysis 21. 14. Optimization of Tuned Mass Damper with Harmony Search 22. 15. Identification of Passive Devices for Vibration Control by Evolutionary Algorithms 23. 16. Structural Optimization for Frequency Constraints 24. 17. Optimum Performance-Based Seismic Design of Frames Using Metaheuristic Optimization Algorithms 25. 18. Expression Programming Techniques for Formulation of Structural Engineering Systems 26. 19. An Evolutionary Divide-and-Conquer Strategy for Structural Identification 27. Part Three: Construction Management and Maintenance 28. 20. Swarm Intelligence for Large-Scale Optimization in Construction Management 29. 21. Network-Level Infrastructure Management Based on Metaheuristics 30. 22. Large-Scale Maintenance Optimization Problems for Civil Infrastructure Systems 31. 23. Metaheuristic Applications in Bridge Infrastructure Maintenance Scheduling Considering Stochastic Aspects of Deterioration
