Streamlining risk identification and mitigation in mechanized tunneling

Abstract

Given the increasing demand for mechanized tunneling, effective risk awareness and management have become crucial. Tunnel Information Modeling (TIM) has the potential to offer significant advantages in enhancing efficiency during the planning phase. This study aims to leverage the TIM model in combination with pre identified risk scenarios to accelerate risk identification and streamline mitigation efforts. A risk/scenario matrix, along with a ground model containing geological and geotechnical data along a specified alignment, is used to outline potential failure scenarios. The proposed approach integrates a deterministic model to evaluate the cost-effectiveness of various risk mitigation strategies, including the implementation of immediate measures and the adoption of preventive measures for potential occurrence zones. The outcome of the study is presented in a dynamic dashboard of the various scenarios and their associated costs.