A Computing Model for Quantifying the Value of Structural Health Monitoring Information in Bridge Engineering

被引：6

作者：

Cheng, Baoquan ^{[1
,2
]}

Wang, Lijie ^{[3
]}

Huang, Jianling ^{[1
]}

Shi, Xu ^{[4
]}

Hu, Xiaodong ^{[1
]}

Chen, Huihua ^{[1
]}

机构：

[1] Cent South Univ, Sch Civil Engn, Changsha 410083, Hunan, Peoples R China

[2] Hong Kong Polytech Univ, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China

[3] Shijiazhuang Inst Railway Technol, Dept Architecture, Shijiazhuang 050041, Hebei, Peoples R China

[4] Chongqing Univ, Coll Optoelect Engn, Chongqing 400044, Peoples R China

来源：

MATHEMATICAL PROBLEMS IN ENGINEERING | 2020年 / 2020卷 / 2020期

基金：

中国国家自然科学基金;

关键词：

IDENTIFICATION;

D O I：

10.1155/2020/8260909

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页数：7

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