Seismic Performance and Vibration Control of Rapid Construction Environmental Protection Wall Based on Artificial Intelligence
With the continuous increase in building types, people's demand for buildings is increasing. In addition to focusing on the work of the building itself, high requirements are also placed on the safety, stability, and durability of the building. Especially in other earthquake-prone areas, it is...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | International Transactions on Electrical Energy Systems |
| Online Access: | http://dx.doi.org/10.1155/2022/1385774 |
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| _version_ | 1832562339635789824 |
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| author | Jie Fu Shuangxi Zhou Li Liu Mingxing Liu |
| author_facet | Jie Fu Shuangxi Zhou Li Liu Mingxing Liu |
| author_sort | Jie Fu |
| collection | DOAJ |
| description | With the continuous increase in building types, people's demand for buildings is increasing. In addition to focusing on the work of the building itself, high requirements are also placed on the safety, stability, and durability of the building. Especially in other earthquake-prone areas, it is even more necessary to strengthen seismic isolation research to reduce vibration. Rapid construction of environmental protection walls pays attention to environmental protection and efficiency during construction, which can effectively solve problems in the construction process, but the seismic resistance of rapid construction environmental protection walls is unknown. Therefore, this paper used artificial intelligence technology to study the seismic performance of rapid construction environmental protection walls and analyzed its vibration control. This paper firstly established the seismic performance analysis model of the environmental protection wall, used the finite element method to construct the environmental protection wall model, and then used the artificial intelligence algorithm to analyze the seismic performance of the rapid construction environmental protection wall. The experimental results showed that the peak load of the rapid construction environmental protection wall was about 250 KN, and the seismic performance was good. |
| format | Article |
| id | doaj-art-dad82b08ea9f4e59abbddd8c67d09be7 |
| institution | Kabale University |
| issn | 2050-7038 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Transactions on Electrical Energy Systems |
| spelling | doaj-art-dad82b08ea9f4e59abbddd8c67d09be72025-02-03T01:22:53ZengWileyInternational Transactions on Electrical Energy Systems2050-70382022-01-01202210.1155/2022/1385774Seismic Performance and Vibration Control of Rapid Construction Environmental Protection Wall Based on Artificial IntelligenceJie Fu0Shuangxi Zhou1Li Liu2Mingxing Liu3Jiangxi Key Laboratory of Disaster Prevention-mitigation and Emergency ManagementJiangxi Key Laboratory of Disaster Prevention-mitigation and Emergency ManagementSchool of Civil Engineering and ArchitectureJiangxi Key Laboratory of Disaster Prevention-mitigation and Emergency ManagementWith the continuous increase in building types, people's demand for buildings is increasing. In addition to focusing on the work of the building itself, high requirements are also placed on the safety, stability, and durability of the building. Especially in other earthquake-prone areas, it is even more necessary to strengthen seismic isolation research to reduce vibration. Rapid construction of environmental protection walls pays attention to environmental protection and efficiency during construction, which can effectively solve problems in the construction process, but the seismic resistance of rapid construction environmental protection walls is unknown. Therefore, this paper used artificial intelligence technology to study the seismic performance of rapid construction environmental protection walls and analyzed its vibration control. This paper firstly established the seismic performance analysis model of the environmental protection wall, used the finite element method to construct the environmental protection wall model, and then used the artificial intelligence algorithm to analyze the seismic performance of the rapid construction environmental protection wall. The experimental results showed that the peak load of the rapid construction environmental protection wall was about 250 KN, and the seismic performance was good.http://dx.doi.org/10.1155/2022/1385774 |
| spellingShingle | Jie Fu Shuangxi Zhou Li Liu Mingxing Liu Seismic Performance and Vibration Control of Rapid Construction Environmental Protection Wall Based on Artificial Intelligence International Transactions on Electrical Energy Systems |
| title | Seismic Performance and Vibration Control of Rapid Construction Environmental Protection Wall Based on Artificial Intelligence |
| title_full | Seismic Performance and Vibration Control of Rapid Construction Environmental Protection Wall Based on Artificial Intelligence |
| title_fullStr | Seismic Performance and Vibration Control of Rapid Construction Environmental Protection Wall Based on Artificial Intelligence |
| title_full_unstemmed | Seismic Performance and Vibration Control of Rapid Construction Environmental Protection Wall Based on Artificial Intelligence |
| title_short | Seismic Performance and Vibration Control of Rapid Construction Environmental Protection Wall Based on Artificial Intelligence |
| title_sort | seismic performance and vibration control of rapid construction environmental protection wall based on artificial intelligence |
| url | http://dx.doi.org/10.1155/2022/1385774 |
| work_keys_str_mv | AT jiefu seismicperformanceandvibrationcontrolofrapidconstructionenvironmentalprotectionwallbasedonartificialintelligence AT shuangxizhou seismicperformanceandvibrationcontrolofrapidconstructionenvironmentalprotectionwallbasedonartificialintelligence AT liliu seismicperformanceandvibrationcontrolofrapidconstructionenvironmentalprotectionwallbasedonartificialintelligence AT mingxingliu seismicperformanceandvibrationcontrolofrapidconstructionenvironmentalprotectionwallbasedonartificialintelligence |