Development of Software Platform for Diagnosing Causes of Lining Anomalies in Tunnels

• Main Authors: Yao-Ling Chen, 陳耀嶺
• Other Authors: 王泰典
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/92ug6g

碩士 === 國立臺北科技大學 === 資源工程研究所 === 101 === In Taiwan, when it completes to structural safety inspections of operating tunnels, it mainly bases on the test results to conduct the safety level assessment and the maintenance and reinforcement design. It rarely diagnosing for lining anomalies and impact factors; this often causes that maintenance and reinforcement not perform a permanent cure to restrain or reduce anomalies to worsen in time. One of the main reasons is the difficulty of test information integration and the complexity of causes for lining anomalies in tunnels, so that it’s hard for engineers to integrate all the test information. Therefore, before we judge the causes for lining anomalies in tunnel, we must understand the tunnel structure and the occurrence and evolutionary process of lining anomalies. Because of tunnel linear distribute and high indeterminacy of Structural characteristics, testing operations are usually implemented together with the different technologies in order to provide information to identify abnormal causes. However, most of the tunnel inspection data need to be processed and analyzed individually, and the formats of test items are different from one another. To diagnosing the cause of tunnel, it has to collect all the information and then review and compare them one by one. It results in heavy workload and expends amount of man power and time. All these make the diagnosing the cause of tunnel very difficult. This study colligates tunnel of lining anomalies detection, crack characterizing, Micro-displacement Monitoring and so on. According to the advice of diagnosing causes for tunnel lining flow in this study, plus assisted diagnosis information can facilitate the diagnosing causes for tunnel lining assignments. Comparing with diagnosing later stage of assisted information can help to provide tunnel possible causes of referral.