A Computing Model for Quantifying the Value of Structural Health Monitoring Information in Bridge Engineering. (23rd October 2020)

• Record Type: Journal Article
• Authors: Cheng, Baoquan; Wang, Lijie; Huang, Jianling; Shi, Xu; Hu, Xiaodong; Chen, Huihua
• Other Names: Wang Shaohui Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2020(2020)
• Publication Date: 2020-10-23
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2020/8260909
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : Structural health monitoring system can provide valuable information for improving decision-making process in maintenance and management of bridges. However, managers usually lack understanding of value of structural health monitoring information. This paper developed a computing model for quantifying the value of structural health monitoring information based on Bayesian theory. Then, the model was demonstrated and validated using a simple case and the key factors (i.e., system accuracy, reparation cost, prior probability of structural failure, and manager's behavior pattern) influencing the value of structural health monitoring information were identified and discussed. Findings from this study help to answer the question of whether a structural health monitoring system should be installed and run, thus enriching the knowledge body of structural health monitoring.