Antiseismic Method of Prestressed Fabricated Building Structure under Intelligent Big Data

Compared with traditional buildings, prefabricated buildings have the advantages of simple construction technology, low construction requirements, and shorter construction time, which can generate more economic benefits for the construction industry. In order to study the seismic capacity of prestre...

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Autores principales:	Zhonghong Li, Yong Huang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/8242e771b8514bb1aa813fc9dd30f2cc
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id	oai:doaj.org-article:8242e771b8514bb1aa813fc9dd30f2cc
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spelling	oai:doaj.org-article:8242e771b8514bb1aa813fc9dd30f2cc2021-11-22T01:09:31ZAntiseismic Method of Prestressed Fabricated Building Structure under Intelligent Big Data1563-514710.1155/2021/9834770https://doaj.org/article/8242e771b8514bb1aa813fc9dd30f2cc2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9834770https://doaj.org/toc/1563-5147Compared with traditional buildings, prefabricated buildings have the advantages of simple construction technology, low construction requirements, and shorter construction time, which can generate more economic benefits for the construction industry. In order to study the seismic capacity of prestressed fabricated building structures under intelligent big data, this article takes fabricated frame structures as the research object and the reinforced walls at the nodes as the starting point to study the damage patterns and energy dissipation capabilities of different seismic waves on the structure. In order to observe the overall seismic performance, the fabricated frame structure was used. The results of the study found that the prestressed fabricated building structure has the best seismic effect when the axial compression is 0.3, and the prestressed degree is below 0.5, which meets the seismic requirements. Therefore, the prestressed degree of the prestressed fabricated building structure should be below 0.5. According to statistics on the results of structural residual deformation and steel bar deformation of buildings under different seismic waves, it can be found that the prestressed fabricated building structure has better self-recovery ability and can better respond to earthquakes with different seismic waves.Zhonghong LiYong HuangHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 Zhonghong Li Yong Huang Antiseismic Method of Prestressed Fabricated Building Structure under Intelligent Big Data
description	Compared with traditional buildings, prefabricated buildings have the advantages of simple construction technology, low construction requirements, and shorter construction time, which can generate more economic benefits for the construction industry. In order to study the seismic capacity of prestressed fabricated building structures under intelligent big data, this article takes fabricated frame structures as the research object and the reinforced walls at the nodes as the starting point to study the damage patterns and energy dissipation capabilities of different seismic waves on the structure. In order to observe the overall seismic performance, the fabricated frame structure was used. The results of the study found that the prestressed fabricated building structure has the best seismic effect when the axial compression is 0.3, and the prestressed degree is below 0.5, which meets the seismic requirements. Therefore, the prestressed degree of the prestressed fabricated building structure should be below 0.5. According to statistics on the results of structural residual deformation and steel bar deformation of buildings under different seismic waves, it can be found that the prestressed fabricated building structure has better self-recovery ability and can better respond to earthquakes with different seismic waves.
format	article
author	Zhonghong Li Yong Huang
author_facet	Zhonghong Li Yong Huang
author_sort	Zhonghong Li
title	Antiseismic Method of Prestressed Fabricated Building Structure under Intelligent Big Data
title_short	Antiseismic Method of Prestressed Fabricated Building Structure under Intelligent Big Data
title_full	Antiseismic Method of Prestressed Fabricated Building Structure under Intelligent Big Data
title_fullStr	Antiseismic Method of Prestressed Fabricated Building Structure under Intelligent Big Data
title_full_unstemmed	Antiseismic Method of Prestressed Fabricated Building Structure under Intelligent Big Data
title_sort	antiseismic method of prestressed fabricated building structure under intelligent big data
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/8242e771b8514bb1aa813fc9dd30f2cc
work_keys_str_mv	AT zhonghongli antiseismicmethodofprestressedfabricatedbuildingstructureunderintelligentbigdata AT yonghuang antiseismicmethodofprestressedfabricatedbuildingstructureunderintelligentbigdata
_version_	1718418409973088256

Antiseismic Method of Prestressed Fabricated Building Structure under Intelligent Big Data

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