Safety Risk Evaluation of Large and Complex Bridges during Construction Based on the Delphi-Improved FAHP-Factor Analysis Method

With the increase in construction scale and difficulty of large and complex bridges in China, it has become increasingly difficult to assess the safety risks of bridges during the construction period. Therefore, how to reasonably assess the safety risk of large, complex bridges during construction h...

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Main Authors: Teng Ji, Ji-Wei Liu, Qing-Fu Li
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2022/5397032
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author Teng Ji
Ji-Wei Liu
Qing-Fu Li
author_facet Teng Ji
Ji-Wei Liu
Qing-Fu Li
author_sort Teng Ji
collection DOAJ
description With the increase in construction scale and difficulty of large and complex bridges in China, it has become increasingly difficult to assess the safety risks of bridges during the construction period. Therefore, how to reasonably assess the safety risk of large, complex bridges during construction has become particularly important. Existing assessment methods are subjective in assigning weights, and it is difficult to select representative important factors to focus on for the prevention and control of numerous risk sources; they do not comprehensively consider the correlation of various risk sources during the construction period. To address the above shortcomings, a safety risk assessment of large and complex bridges during the construction period based on the Delphi-improved fuzzy analytic hierarchy process (FAHP) factor analysis method is proposed in this paper. First, the Delphi method was used to conduct a general survey of safety risk factors during the bridge construction period, and then the work breakdown structure-risk substructure (WBS-RBS) was used to establish the evaluation index system. Second, the improved FAHP was combined with it to calculate the weight of each risk factor. Finally, the factor analysis method was used to determine the correlation degree of each risk factor, and representative factors were selected to express the risk degree of the object to be evaluated to screen out major risk factors in the construction process. Finally, the feasibility and practicality of the method are verified by combining an actual engineering case with AHP (analytic hierarchy process) to perform a comparative study, which provides a reference basis for subsequent bridge construction risk prevention.
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institution Kabale University
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language English
publishDate 2022-01-01
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series Advances in Civil Engineering
spelling doaj-art-5f24103b52824715a333d8bf000c0d172025-02-03T06:06:53ZengWileyAdvances in Civil Engineering1687-80942022-01-01202210.1155/2022/5397032Safety Risk Evaluation of Large and Complex Bridges during Construction Based on the Delphi-Improved FAHP-Factor Analysis MethodTeng Ji0Ji-Wei Liu1Qing-Fu Li2Powerchina Roadbridge Group Co., Ltd.Powerchina Roadbridge Group Co., Ltd.School of Water Conservancy Engineering Zhengzhou UniversityWith the increase in construction scale and difficulty of large and complex bridges in China, it has become increasingly difficult to assess the safety risks of bridges during the construction period. Therefore, how to reasonably assess the safety risk of large, complex bridges during construction has become particularly important. Existing assessment methods are subjective in assigning weights, and it is difficult to select representative important factors to focus on for the prevention and control of numerous risk sources; they do not comprehensively consider the correlation of various risk sources during the construction period. To address the above shortcomings, a safety risk assessment of large and complex bridges during the construction period based on the Delphi-improved fuzzy analytic hierarchy process (FAHP) factor analysis method is proposed in this paper. First, the Delphi method was used to conduct a general survey of safety risk factors during the bridge construction period, and then the work breakdown structure-risk substructure (WBS-RBS) was used to establish the evaluation index system. Second, the improved FAHP was combined with it to calculate the weight of each risk factor. Finally, the factor analysis method was used to determine the correlation degree of each risk factor, and representative factors were selected to express the risk degree of the object to be evaluated to screen out major risk factors in the construction process. Finally, the feasibility and practicality of the method are verified by combining an actual engineering case with AHP (analytic hierarchy process) to perform a comparative study, which provides a reference basis for subsequent bridge construction risk prevention.http://dx.doi.org/10.1155/2022/5397032
spellingShingle Teng Ji
Ji-Wei Liu
Qing-Fu Li
Safety Risk Evaluation of Large and Complex Bridges during Construction Based on the Delphi-Improved FAHP-Factor Analysis Method
Advances in Civil Engineering
title Safety Risk Evaluation of Large and Complex Bridges during Construction Based on the Delphi-Improved FAHP-Factor Analysis Method
title_full Safety Risk Evaluation of Large and Complex Bridges during Construction Based on the Delphi-Improved FAHP-Factor Analysis Method
title_fullStr Safety Risk Evaluation of Large and Complex Bridges during Construction Based on the Delphi-Improved FAHP-Factor Analysis Method
title_full_unstemmed Safety Risk Evaluation of Large and Complex Bridges during Construction Based on the Delphi-Improved FAHP-Factor Analysis Method
title_short Safety Risk Evaluation of Large and Complex Bridges during Construction Based on the Delphi-Improved FAHP-Factor Analysis Method
title_sort safety risk evaluation of large and complex bridges during construction based on the delphi improved fahp factor analysis method
url http://dx.doi.org/10.1155/2022/5397032
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AT jiweiliu safetyriskevaluationoflargeandcomplexbridgesduringconstructionbasedonthedelphiimprovedfahpfactoranalysismethod
AT qingfuli safetyriskevaluationoflargeandcomplexbridgesduringconstructionbasedonthedelphiimprovedfahpfactoranalysismethod