A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Optimal Seismic Design of Steel Plate Shear Walls Using CBO and ECBO Algorithms
In this chapter, three well-known metaheuristic algorithms including Colliding Bodies Optimization (CBO), Enhanced Colliding Bodies Optimization (ECBO), and Particle Swarm Optimization (PSO) are employed for size and performance optimization of steel plate shear wall (SPSW) systems. Recently, the number of high-rise residential and commercial buildings is significantly increased and engineers tend to use more tall and slender structures. In these buildings, the effect of lateral loads such as wind loads and seismic forces is substantial so that special attention is required for their design. There are different lateral load resisting systems, and the use of steel plate shear walls is one of the efficient systems with high energy dissipation.
Optimal Seismic Design of Steel Plate Shear Walls Using CBO and ECBO Algorithms
In this chapter, three well-known metaheuristic algorithms including Colliding Bodies Optimization (CBO), Enhanced Colliding Bodies Optimization (ECBO), and Particle Swarm Optimization (PSO) are employed for size and performance optimization of steel plate shear wall (SPSW) systems. Recently, the number of high-rise residential and commercial buildings is significantly increased and engineers tend to use more tall and slender structures. In these buildings, the effect of lateral loads such as wind loads and seismic forces is substantial so that special attention is required for their design. There are different lateral load resisting systems, and the use of steel plate shear walls is one of the efficient systems with high energy dissipation.
Optimal Seismic Design of Steel Plate Shear Walls Using CBO and ECBO Algorithms
Studies Comp.Intelligence
Kaveh, Ali (author) / Dadras Eslamlou, Armin (author)
Metaheuristic Optimization Algorithms in Civil Engineering: New Applications ; Chapter: 9 ; 181-217
2020-04-15
37 pages
Article/Chapter (Book)
Electronic Resource
English
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