Development and Application of Dynamic Intelligent Risk Management System throughout Shield Tunneling

The risk management issue of shield tunneling has attracted full attention for these years, but the current methods of risk identification and risk management cannot meet the safety requirements. This paper addresses the complexity of shield tunneling construction as well as the uncertainty of the underground environment, and then a new Logical Arrangement Risk Evaluation (LARE) method and an improved clonal selection algorithm (ICSA) are used to enhance the efficiency and accuracy of risk identification. Based on the practical situation of underground projects in China, this paper adopts an iterative dynamic risk management concept and aims at the comprehensive risk management during the whole construction processes by making full use of the current communication and information technologies. Thus a dynamic intelligent system for whole processes shield tunneling project risk management has been developed and introduced to the practical applications. The results show that the system can identify the potential risks and proposes effective risk pre-control technical measures to ensure the safety of projects.