Optimization of inerter system for seismic response control based on a modified genetic algorithm with differential crossover strategy
The damping enhancement effect of the inerter system means that its energy dissipation efficiency can be improved with respect to the traditional dampers. Energy dissipation efficiency have been considered as the optimal design principle of the inerter system, however, the solution for optimized key...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2022-06-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/16878132221106296 |
| _version_ | 1811239143889436672 |
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| author | Chao Pan Dengke Yang Hao Wang |
| author_facet | Chao Pan Dengke Yang Hao Wang |
| author_sort | Chao Pan |
| collection | DOAJ |
| description | The damping enhancement effect of the inerter system means that its energy dissipation efficiency can be improved with respect to the traditional dampers. Energy dissipation efficiency have been considered as the optimal design principle of the inerter system, however, the solution for optimized key parameters is difficult because of the special mechanical behavior of the inerter. A modified float-point encoding genetic algorithm is proposed in this study to realize the optimal design of the inerter system with maximized energy dissipation efficiency effectively and robustly. A novel and simple crossover strategy termed differential crossover is proposed and applied in the classical genetic algorithm to optimize the inerter system more effectively. The differential crossover strategy means that a new individual is generated based on the difference between two randomly selected individuals in the population. The mathematical expression for the optimization problem of the inerter system corresponding to the maximum energy dissipation efficiency design principle is established. Following the performance-oriented design concept, performance demand is taken as the constrained condition of the optimization problem. Case design confirms that the modified genetic algorithm can successfully solve the optimization problem of the inerter system and perform a better solving ability over the original genetic algorithms. |
| first_indexed | 2024-04-12T12:55:55Z |
| format | Article |
| id | doaj.art-5d9d997e583a4f39a4d6dcf312950c90 |
| institution | Directory Open Access Journal |
| issn | 1687-8140 |
| language | English |
| last_indexed | 2024-04-12T12:55:55Z |
| publishDate | 2022-06-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Advances in Mechanical Engineering |
| spelling | doaj.art-5d9d997e583a4f39a4d6dcf312950c902022-12-22T03:32:20ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402022-06-011410.1177/16878132221106296Optimization of inerter system for seismic response control based on a modified genetic algorithm with differential crossover strategyChao Pan0Dengke Yang1Hao Wang2College of Civil Engineering, Yantai University, Yantai, ChinaCollege of Civil Engineering, Yantai University, Yantai, ChinaState Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang, ChinaThe damping enhancement effect of the inerter system means that its energy dissipation efficiency can be improved with respect to the traditional dampers. Energy dissipation efficiency have been considered as the optimal design principle of the inerter system, however, the solution for optimized key parameters is difficult because of the special mechanical behavior of the inerter. A modified float-point encoding genetic algorithm is proposed in this study to realize the optimal design of the inerter system with maximized energy dissipation efficiency effectively and robustly. A novel and simple crossover strategy termed differential crossover is proposed and applied in the classical genetic algorithm to optimize the inerter system more effectively. The differential crossover strategy means that a new individual is generated based on the difference between two randomly selected individuals in the population. The mathematical expression for the optimization problem of the inerter system corresponding to the maximum energy dissipation efficiency design principle is established. Following the performance-oriented design concept, performance demand is taken as the constrained condition of the optimization problem. Case design confirms that the modified genetic algorithm can successfully solve the optimization problem of the inerter system and perform a better solving ability over the original genetic algorithms.https://doi.org/10.1177/16878132221106296 |
| spellingShingle | Chao Pan Dengke Yang Hao Wang Optimization of inerter system for seismic response control based on a modified genetic algorithm with differential crossover strategy Advances in Mechanical Engineering |
| title | Optimization of inerter system for seismic response control based on a modified genetic algorithm with differential crossover strategy |
| title_full | Optimization of inerter system for seismic response control based on a modified genetic algorithm with differential crossover strategy |
| title_fullStr | Optimization of inerter system for seismic response control based on a modified genetic algorithm with differential crossover strategy |
| title_full_unstemmed | Optimization of inerter system for seismic response control based on a modified genetic algorithm with differential crossover strategy |
| title_short | Optimization of inerter system for seismic response control based on a modified genetic algorithm with differential crossover strategy |
| title_sort | optimization of inerter system for seismic response control based on a modified genetic algorithm with differential crossover strategy |
| url | https://doi.org/10.1177/16878132221106296 |
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