國內隧道結構安全檢測作業完成後,主要依據檢測所得進行隧道安全等級評估與加固補強設計,鮮少診斷襯砌異狀肇因與影響因素,經常導致維修補強未能對症下藥,及時抑止或降低異狀惡化的現象。主要原因之一,即是檢測資訊整合困難以及隧道異狀肇因複雜難明所致,以致工程師難以整合各項檢測資訊。故於研判隧道襯砌異狀肇因之前,必須了解隧道結構之現狀與襯砌異狀之發生與演化過程。 由於隧道線狀分佈以及高度靜不定的結構特性,檢測作業通常搭配不同的技術一併實施,以提供查明異狀肇因的資料。然而大多數隧道檢測資料皆須個別處理與分析,單一檢測項目儲存格式不一。欲進行隧道肇因診斷,則須齊備所有資料,一一檢閱比對,工作量大且極為耗人力資源與時間。凡此種種,皆使隧道肇因診斷困難重重。 本研究綜合隧道襯砌異狀判釋、裂縫特徵化與數字化、襯砌微變監測等成果,依照本文建議之隧道襯砌異狀肇因診斷流程,加上輔助診斷資訊,可便利使用者進行襯砌異狀肇因診斷作業。與診斷後期納入之輔助資料比對後,可有助於提供隧道可能肇因之參考。
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.