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Appl. Sci. 2017, 7(2), 203; doi:10.3390/app7020203

Fuzzy Synthetic Evaluation of the Long-Term Health of Tunnel Structures

Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China
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Received: 3 December 2016 / Accepted: 13 February 2017 / Published: 17 February 2017
(This article belongs to the Special Issue Structural Health Monitoring (SHM) of Civil Structures)
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Abstract

A tunnel is a coupled system of the surrounding rock and the supporting structure. The health status of a tunnel structure is complex and is influenced by various factors. In addition, these factors are coupled and interacted with each other, which calls for the linguistic description of the tunnel safety level. In this paper, we describe the health status of a highway tunnel structure in terms of four levels: safe; basically safe; potentially unsafe and unsafe. Based on the analysis of the safety characteristics of the tunnel structure and its proposed safety level, this research develops a multi-level fuzzy synthetic evaluation model for the long-term safety evaluation system of a tunnel structure. The Cang Ling Tunnel, which has embedded sensors to measure the stress values of the secondary lining and the contact pressure, is used as an example to study the proposed method. The results show that the structure of the entire Cang Ling Tunnel is in almost a safe condition under the current conditions, which is consistent with the actual operational situation. View Full-Text
Keywords: long-term safety monitoring; structure health monitoring; fuzzy synthetic evaluation; Cang Ling Tunnel long-term safety monitoring; structure health monitoring; fuzzy synthetic evaluation; Cang Ling Tunnel
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Wang, B.; Mo, C.; He, C.; Yan, Q. Fuzzy Synthetic Evaluation of the Long-Term Health of Tunnel Structures. Appl. Sci. 2017, 7, 203.

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