Bridge safety monitoring and evaluation based on hesitant fuzzy set

This paper reviews the safety monitoring systems, bridge safety assessment methods, and hesitant fuzzy set theories at home and abroad, and presents a novel bridge safety monitoring and evaluation method based on hesitant fuzzy set, which has greatly significance to scientific research. Through mult...

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Autores principales:	Yi Yan, Xuantao Wu, Zhangyong Wu
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	Safety monitoring and evaluation Multi-scale estimation and analysis Filtering technology Hesitant fuzzy similarity Multi-index linkage Damage identification Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/29840697998e45588c4fa589f525528d
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spelling	oai:doaj.org-article:29840697998e45588c4fa589f525528d2021-11-18T04:45:49ZBridge safety monitoring and evaluation based on hesitant fuzzy set1110-016810.1016/j.aej.2021.06.101https://doaj.org/article/29840697998e45588c4fa589f525528d2022-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1110016821004609https://doaj.org/toc/1110-0168This paper reviews the safety monitoring systems, bridge safety assessment methods, and hesitant fuzzy set theories at home and abroad, and presents a novel bridge safety monitoring and evaluation method based on hesitant fuzzy set, which has greatly significance to scientific research. Through multi-scale estimation and Butter Worth (BWorth) filtering, the structural response signals were identified and extracted under car load and crowd load. Then, a mathematical model was established for bridge safety monitoring and evaluation based on hesitant fuzzy set. Drawing on hesitant fuzzy similarity theory, the authors designed damage recognition algorithms based on single index, dual-index linkage, and multi-index linkage. Finally, example analysis was conducted to confirm the feasibility of multi-index linkage, coupled with multi-period dynamic recognition, in the evaluation of bridge structural damages.Yi YanXuantao WuZhangyong WuElsevierarticleSafety monitoring and evaluationMulti-scale estimation and analysisFiltering technologyHesitant fuzzy similarityMulti-index linkageDamage identificationEngineering (General). Civil engineering (General)TA1-2040ENAlexandria Engineering Journal, Vol 61, Iss 2, Pp 1183-1200 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Safety monitoring and evaluation Multi-scale estimation and analysis Filtering technology Hesitant fuzzy similarity Multi-index linkage Damage identification Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Safety monitoring and evaluation Multi-scale estimation and analysis Filtering technology Hesitant fuzzy similarity Multi-index linkage Damage identification Engineering (General). Civil engineering (General) TA1-2040 Yi Yan Xuantao Wu Zhangyong Wu Bridge safety monitoring and evaluation based on hesitant fuzzy set
description	This paper reviews the safety monitoring systems, bridge safety assessment methods, and hesitant fuzzy set theories at home and abroad, and presents a novel bridge safety monitoring and evaluation method based on hesitant fuzzy set, which has greatly significance to scientific research. Through multi-scale estimation and Butter Worth (BWorth) filtering, the structural response signals were identified and extracted under car load and crowd load. Then, a mathematical model was established for bridge safety monitoring and evaluation based on hesitant fuzzy set. Drawing on hesitant fuzzy similarity theory, the authors designed damage recognition algorithms based on single index, dual-index linkage, and multi-index linkage. Finally, example analysis was conducted to confirm the feasibility of multi-index linkage, coupled with multi-period dynamic recognition, in the evaluation of bridge structural damages.
format	article
author	Yi Yan Xuantao Wu Zhangyong Wu
author_facet	Yi Yan Xuantao Wu Zhangyong Wu
author_sort	Yi Yan
title	Bridge safety monitoring and evaluation based on hesitant fuzzy set
title_short	Bridge safety monitoring and evaluation based on hesitant fuzzy set
title_full	Bridge safety monitoring and evaluation based on hesitant fuzzy set
title_fullStr	Bridge safety monitoring and evaluation based on hesitant fuzzy set
title_full_unstemmed	Bridge safety monitoring and evaluation based on hesitant fuzzy set
title_sort	bridge safety monitoring and evaluation based on hesitant fuzzy set
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/29840697998e45588c4fa589f525528d
work_keys_str_mv	AT yiyan bridgesafetymonitoringandevaluationbasedonhesitantfuzzyset AT xuantaowu bridgesafetymonitoringandevaluationbasedonhesitantfuzzyset AT zhangyongwu bridgesafetymonitoringandevaluationbasedonhesitantfuzzyset
_version_	1718425028711677952

Bridge safety monitoring and evaluation based on hesitant fuzzy set

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