Study on Evaluation Theory of Bridge Damage State and Methodology on Early Warning of Danger

When evaluating and prewarning the damage state of bridges, the observation equation and state equation of bridge systems are not constructed in the existing methods, which would cause the evaluation results to be inconsistent with the actual damage state of bridges. Therefore, the existing methods...

Full description

Saved in:
Bibliographic Details
Main Authors: Guofu Jiang, Qianxue Liang, Hua Wang, Yucai Ju, Haihua Wang, Xirui Wang, Longlin Wang, Wensheng Wang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Materials Science and Engineering
Online Access:http://dx.doi.org/10.1155/2022/6636959
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832548391850082304
author Guofu Jiang
Qianxue Liang
Hua Wang
Yucai Ju
Haihua Wang
Xirui Wang
Longlin Wang
Wensheng Wang
author_facet Guofu Jiang
Qianxue Liang
Hua Wang
Yucai Ju
Haihua Wang
Xirui Wang
Longlin Wang
Wensheng Wang
author_sort Guofu Jiang
collection DOAJ
description When evaluating and prewarning the damage state of bridges, the observation equation and state equation of bridge systems are not constructed in the existing methods, which would cause the evaluation results to be inconsistent with the actual damage state of bridges. Therefore, the existing methods have the problems of low evaluation accuracy, high false alarm rate, and poor real-time performance. In order to solve the above problems, this paper proposes a novel evaluation and judgment theory of bridge damage state and methodology on early warning of danger. The wavelet packet analysis method is used to construct the observation equation and state equation of bridge systems, which could provide a relevant basis for evaluating the damage state of bridges. Then, the fuzzy comprehensive evaluation method is used to construct the fuzzy evaluation model of the bridge damage state to evaluate and judge the damage state of bridges. According to the evaluation results, combined with mathematical-statistical analysis methods and principal component analysis methods, the methodology on early warning of danger for bridge structures can be realized. The experimental results showed that the proposed method has high evaluation and judgment accuracy, low false alarm rate, and good real-time performance and reliability.
format Article
id doaj-art-4abcebaf91d34b6c8c13bc12dff64d4a
institution Kabale University
issn 1687-8442
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Advances in Materials Science and Engineering
spelling doaj-art-4abcebaf91d34b6c8c13bc12dff64d4a2025-02-03T06:14:14ZengWileyAdvances in Materials Science and Engineering1687-84422022-01-01202210.1155/2022/6636959Study on Evaluation Theory of Bridge Damage State and Methodology on Early Warning of DangerGuofu Jiang0Qianxue Liang1Hua Wang2Yucai Ju3Haihua Wang4Xirui Wang5Longlin Wang6Wensheng Wang7Guangxi Transportation Science and Technology Group Co. Ltd.Guangxi Transportation Science and Technology Group Co. Ltd.Guangxi Transportation Science and Technology Group Co. Ltd.Guangxi Transportation Science and Technology Group Co. Ltd.Guangxi Transportation Science and Technology Group Co. Ltd.Guangxi Transportation Science and Technology Group Co. Ltd.Guangxi Transportation Science and Technology Group Co. Ltd.College of TransportationWhen evaluating and prewarning the damage state of bridges, the observation equation and state equation of bridge systems are not constructed in the existing methods, which would cause the evaluation results to be inconsistent with the actual damage state of bridges. Therefore, the existing methods have the problems of low evaluation accuracy, high false alarm rate, and poor real-time performance. In order to solve the above problems, this paper proposes a novel evaluation and judgment theory of bridge damage state and methodology on early warning of danger. The wavelet packet analysis method is used to construct the observation equation and state equation of bridge systems, which could provide a relevant basis for evaluating the damage state of bridges. Then, the fuzzy comprehensive evaluation method is used to construct the fuzzy evaluation model of the bridge damage state to evaluate and judge the damage state of bridges. According to the evaluation results, combined with mathematical-statistical analysis methods and principal component analysis methods, the methodology on early warning of danger for bridge structures can be realized. The experimental results showed that the proposed method has high evaluation and judgment accuracy, low false alarm rate, and good real-time performance and reliability.http://dx.doi.org/10.1155/2022/6636959
spellingShingle Guofu Jiang
Qianxue Liang
Hua Wang
Yucai Ju
Haihua Wang
Xirui Wang
Longlin Wang
Wensheng Wang
Study on Evaluation Theory of Bridge Damage State and Methodology on Early Warning of Danger
Advances in Materials Science and Engineering
title Study on Evaluation Theory of Bridge Damage State and Methodology on Early Warning of Danger
title_full Study on Evaluation Theory of Bridge Damage State and Methodology on Early Warning of Danger
title_fullStr Study on Evaluation Theory of Bridge Damage State and Methodology on Early Warning of Danger
title_full_unstemmed Study on Evaluation Theory of Bridge Damage State and Methodology on Early Warning of Danger
title_short Study on Evaluation Theory of Bridge Damage State and Methodology on Early Warning of Danger
title_sort study on evaluation theory of bridge damage state and methodology on early warning of danger
url http://dx.doi.org/10.1155/2022/6636959
work_keys_str_mv AT guofujiang studyonevaluationtheoryofbridgedamagestateandmethodologyonearlywarningofdanger
AT qianxueliang studyonevaluationtheoryofbridgedamagestateandmethodologyonearlywarningofdanger
AT huawang studyonevaluationtheoryofbridgedamagestateandmethodologyonearlywarningofdanger
AT yucaiju studyonevaluationtheoryofbridgedamagestateandmethodologyonearlywarningofdanger
AT haihuawang studyonevaluationtheoryofbridgedamagestateandmethodologyonearlywarningofdanger
AT xiruiwang studyonevaluationtheoryofbridgedamagestateandmethodologyonearlywarningofdanger
AT longlinwang studyonevaluationtheoryofbridgedamagestateandmethodologyonearlywarningofdanger
AT wenshengwang studyonevaluationtheoryofbridgedamagestateandmethodologyonearlywarningofdanger