Study On Identification System Of Health Monitoring Of Highway Tunnels With Soft Surround Rock

With the rapid development of highway transportation in western China, lots of highway tunnels are emerging, which will bring new challenges to the safety operation of tunnels. Presently, there are many tunnels being constructed in the same region at the same time. The high cost will be inescapable if the long-term health monitoring is used for every single tunnel, let alone the difficulty of implementation. Therefore, this plan is impracticable. Hence, the health monitoring and safety evaluation of representative tunnels in every region and the investigation of health-state identification system of tunnel groups are of great significance.This study chooses the Guang-Gan soft rock highway tunnel as the engineering background. The identification system for the health monitoring of soft rock tunnels is investigated through data study, theoretical analysis, in-door model tests and long-term monitoring. The main content and results are as follow:(1) Through the investigation and analysis on the site environment, design and construction condition of soft rock tunnels in the identification system region, the characteristics of the regional identification system are extracted, and the Du Jia Shan Tunnel is selected as the identification project.(2) The long-term safety evaluation model of the soft rock highway tunnel is established by using the fuzzy comprehensive evaluation method. Factors that affect the long-term safety of the structures are identified; Two-level evaluation index system is established; The membership function of the evaluation index is determined; The weight values of evaluation index are determined by using AHP method; The IV-grade safety standard of the long-term safety of the soft rock highway tunnel is raised; The safety grade of linings’internal force is divided based on the evolution law of model failure tests; The safety of the identification tunnel is evaluated by using the fuzzy comprehensive evaluation model.(3) According to the concept and research scheme of the health-monitoring identification system for soft rock highway tunnels, the health-monitoring network system is established. Through the installation of self-invented health-monitoring terminal, the collection and transmission of long-term monitoring data of representative cross sections are realized, which can be used for the in-time safety evaluation of tunnels and the warning and diagnosing corresponding to the4-level warning system.(4) Based on the fuzzy similarity priority ratio theory, the similar factor set, weight set and target source sample set are established.153pending target sample sets are divided for nine non-identifying soft rock tunnels, thus built the fuzzy similarity priority ratio theory for soft rock highway tunnels in the identification system region and realized the deduction of the health state of non-identifying tunnels in the region. The deduction system software of the health state of soft rock highway tunnels in the identification region is developed; The visual operation on the full-process deduction of tunnel’s health state is also realized.