Technical Papers
Sep 18, 2019

Improved Interval Evidence Theory–Based Fuzzy AHP Approach for Comprehensive Condition Assessment of Long-Span PSC Continuous Box-Girder Bridges

Publication: Journal of Bridge Engineering
Volume 24, Issue 12

Abstract

A comprehensive condition assessment of long-span prestressed concrete (PSC) continuous box-girder bridges in service is the foundation of bridge maintenance and management. In this paper, first, the original interval evidence theory is improved through the conflict test of original evidence and the correction of conflict evidence based on credibility. Second, a new comprehensive condition assessment method considering the interval uncertainty of measured data and the impact of measured conflict data is proposed for long-span PSC continuous box-girder bridges through the natural integration of the improved interval evidence theory (IIET) and the fuzzy analytic hierarchy process (AHP). Third, to illustrate the implementation process of the proposed method, a three-span PSC continuous box-girder bridge is assessed considering the effect of spatial variability of materials and structural dimensions. The advantages of the proposed method over the existing AHP assessment method and the traditional combination method are verified by comparing the condition assessment results with the actual status of components or the whole bridge.

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Acknowledgments

Financial support was supplied by the National Basic Research Program of China (973 Program, grant No. 2015CB057706), the National Natural Science Foundation of China (grant No. 51778068), and Key Project of Hunan Provincial Education Department (grant No. 18A136).

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Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 24Issue 12December 2019

History

Received: Aug 27, 2018
Accepted: Jun 18, 2019
Published online: Sep 18, 2019
Published in print: Dec 1, 2019
Discussion open until: Feb 18, 2020

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Yiming Yang [email protected]
Ph.D. Candidate, School of Civil Engineering, Changsha Univ. of Science and Technology, 960 Wanjiali S Rd., Changsha, Hunan 410114, China. Email: [email protected]
Jianxin Peng, Ph.D. [email protected]
Associate Professor, School of Civil Engineering, Changsha Univ. of Science and Technology, 960 Wanjiali S Rd., Changsha, Hunan 410114, China (corresponding author). Email: [email protected]
C. S. Cai, P.E., F.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Louisiana State Univ., Baton Rouge, LA 70803. Email: [email protected]
Jianren Zhang, Ph.D. [email protected]
Professor, School of Civil Engineering, Changsha Univ. of Science and Technology, 960 Wanjiali S Rd., Changsha, Hunan 410114, China. Email: [email protected]

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