A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Performance-Based Optimum Design of Steel Frames by an Improved Quantum Particle Swarm Optimization
The main aim of this work is to present a methodology for performance-based optimum seismic design of moment resisting steel frame structures. In the present study, an improved quantum particle swarm optimization (IQPSO) metaheuristic algorithm is proposed to implement performance-based optimum design (PBOD) process. During the optimization process, QPSO and IQPSO algorithms minimize the structural weight subject to performance constraints on inter-story drift ratios based on FEMA-356 provisions at the immediate occupancy (IO), life safety (LS) and collapse prevention (CP) performance levels. Nonlinear pushover analysis is conducted to compute the necessary structural responses during the PBOD process. Two numerical examples are presented to illustrate the efficiency of the presented methodology. The numerical results demonstrate the superiority of the proposed IQPSO to the classical QPSO algorithm.
Performance-Based Optimum Design of Steel Frames by an Improved Quantum Particle Swarm Optimization
The main aim of this work is to present a methodology for performance-based optimum seismic design of moment resisting steel frame structures. In the present study, an improved quantum particle swarm optimization (IQPSO) metaheuristic algorithm is proposed to implement performance-based optimum design (PBOD) process. During the optimization process, QPSO and IQPSO algorithms minimize the structural weight subject to performance constraints on inter-story drift ratios based on FEMA-356 provisions at the immediate occupancy (IO), life safety (LS) and collapse prevention (CP) performance levels. Nonlinear pushover analysis is conducted to compute the necessary structural responses during the PBOD process. Two numerical examples are presented to illustrate the efficiency of the presented methodology. The numerical results demonstrate the superiority of the proposed IQPSO to the classical QPSO algorithm.
Performance-Based Optimum Design of Steel Frames by an Improved Quantum Particle Swarm Optimization
Gholizadeh, Saeed (author) / Moghadas, Reza Kamyab (author)
Advances in Structural Engineering ; 17 ; 143-156
2014-02-01
14 pages
Article (Journal)
Electronic Resource
English
Performance-Based Optimum Design of Steel Frames by an Improved Quantum Particle Swarm Optimization
| Online Contents | 2014
Optimum Design of Unbraced Steel Frames to the LRFD-AISC Code Using Particle Swarm Optimization
| British Library Conference Proceedings | 2008
Multi-population particle swarm optimization algorithm for automatic design of steel frames
| Springer Verlag | 2024
Multi-population particle swarm optimization algorithm for automatic design of steel frames
| Springer Verlag | 2024
| British Library Online Contents | 2014