Application of the Improved Multipopulation Genetic Algorithm in the TMD Controlled System considering Soil-Structure Interaction
With the advent of globalization, computing speed has increased tremendously, greatly advancing algorithm research in multiple fields. This paper studies the parameter optimization problem of the improved multipopulation genetic algorithm in the tuned mass damper (TMD) structure considering the soil...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/8212766 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832564491295916032 |
|---|---|
| author | Wei Nie Shuxian Liu Hang Yin Shasha Lu Dongxu Zhao Hong Xu |
| author_facet | Wei Nie Shuxian Liu Hang Yin Shasha Lu Dongxu Zhao Hong Xu |
| author_sort | Wei Nie |
| collection | DOAJ |
| description | With the advent of globalization, computing speed has increased tremendously, greatly advancing algorithm research in multiple fields. This paper studies the parameter optimization problem of the improved multipopulation genetic algorithm in the tuned mass damper (TMD) structure considering the soil-structure interaction (SSI) effect. The Newmark time-domain analysis method was used to analyze the dynamic response of a 40-story building under the excitation of EL Centro waves and Tangshan waves in China, respectively. The mass, damping coefficient, and spring stiffness of TMD system are used as the design variables of the controller. To reduce structural damage and obtain better comfort, the displacement response and acceleration response are optimized simultaneously in this paper, achieving multiobjective optimization. The results show that the improved multipopulation genetic algorithm method has faster convergence speed and greater accuracy than the traditional genetic algorithm; thus it can be applied to the TMDs parameter optimization of high-rise buildings. Besides, the soil types have a great influence on TMD parameter optimization and structural time history response. If ignoring SSI effect will lead to underestimation of parameter design, the reason is that the soft soil foundations can absorb a lot of seismic energy compared with rigid foundations and then reduce the effect of seismic excitation on the structure. The intention of the research helps researchers to better understand vibration control and provides suggestions for the application of TMD in high-rise buildings. |
| format | Article |
| id | doaj-art-9cf0c8a0c79a447d8f3678415bb21c9e |
| institution | Kabale University |
| issn | 1687-8094 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-9cf0c8a0c79a447d8f3678415bb21c9e2025-02-03T01:10:58ZengWileyAdvances in Civil Engineering1687-80942022-01-01202210.1155/2022/8212766Application of the Improved Multipopulation Genetic Algorithm in the TMD Controlled System considering Soil-Structure InteractionWei Nie0Shuxian Liu1Hang Yin2Shasha Lu3Dongxu Zhao4Hong Xu5Liaoning Technical UniversityLiaoning Technical UniversityLiaoning Technical UniversityLiaoning Technical UniversityLiaoning Technical UniversityLiaoning Technical UniversityWith the advent of globalization, computing speed has increased tremendously, greatly advancing algorithm research in multiple fields. This paper studies the parameter optimization problem of the improved multipopulation genetic algorithm in the tuned mass damper (TMD) structure considering the soil-structure interaction (SSI) effect. The Newmark time-domain analysis method was used to analyze the dynamic response of a 40-story building under the excitation of EL Centro waves and Tangshan waves in China, respectively. The mass, damping coefficient, and spring stiffness of TMD system are used as the design variables of the controller. To reduce structural damage and obtain better comfort, the displacement response and acceleration response are optimized simultaneously in this paper, achieving multiobjective optimization. The results show that the improved multipopulation genetic algorithm method has faster convergence speed and greater accuracy than the traditional genetic algorithm; thus it can be applied to the TMDs parameter optimization of high-rise buildings. Besides, the soil types have a great influence on TMD parameter optimization and structural time history response. If ignoring SSI effect will lead to underestimation of parameter design, the reason is that the soft soil foundations can absorb a lot of seismic energy compared with rigid foundations and then reduce the effect of seismic excitation on the structure. The intention of the research helps researchers to better understand vibration control and provides suggestions for the application of TMD in high-rise buildings.http://dx.doi.org/10.1155/2022/8212766 |
| spellingShingle | Wei Nie Shuxian Liu Hang Yin Shasha Lu Dongxu Zhao Hong Xu Application of the Improved Multipopulation Genetic Algorithm in the TMD Controlled System considering Soil-Structure Interaction Advances in Civil Engineering |
| title | Application of the Improved Multipopulation Genetic Algorithm in the TMD Controlled System considering Soil-Structure Interaction |
| title_full | Application of the Improved Multipopulation Genetic Algorithm in the TMD Controlled System considering Soil-Structure Interaction |
| title_fullStr | Application of the Improved Multipopulation Genetic Algorithm in the TMD Controlled System considering Soil-Structure Interaction |
| title_full_unstemmed | Application of the Improved Multipopulation Genetic Algorithm in the TMD Controlled System considering Soil-Structure Interaction |
| title_short | Application of the Improved Multipopulation Genetic Algorithm in the TMD Controlled System considering Soil-Structure Interaction |
| title_sort | application of the improved multipopulation genetic algorithm in the tmd controlled system considering soil structure interaction |
| url | http://dx.doi.org/10.1155/2022/8212766 |
| work_keys_str_mv | AT weinie applicationoftheimprovedmultipopulationgeneticalgorithminthetmdcontrolledsystemconsideringsoilstructureinteraction AT shuxianliu applicationoftheimprovedmultipopulationgeneticalgorithminthetmdcontrolledsystemconsideringsoilstructureinteraction AT hangyin applicationoftheimprovedmultipopulationgeneticalgorithminthetmdcontrolledsystemconsideringsoilstructureinteraction AT shashalu applicationoftheimprovedmultipopulationgeneticalgorithminthetmdcontrolledsystemconsideringsoilstructureinteraction AT dongxuzhao applicationoftheimprovedmultipopulationgeneticalgorithminthetmdcontrolledsystemconsideringsoilstructureinteraction AT hongxu applicationoftheimprovedmultipopulationgeneticalgorithminthetmdcontrolledsystemconsideringsoilstructureinteraction |