岩土系统风险跟踪的最佳监测位置：理论与隧道开挖风险的应用
Optimal monitoring location for risk tracking of geotechnical systems: theory and application to tunneling excavation risks
摘要：
结构健康监测技术的成熟为岩土结构和地下基础设施系统带来了越来越多的机会，以跟踪结构故障的风险，如沉降引起的建筑物损坏，基于监测数据。可靠性更新技术可以提供解决方案，以估计未能达到规定的目标，使用各种类型的信息，包括平等和不平等的概率。然而，可靠性的更新可能对监控位置高度敏感。因此，在系统中可能存在用于监测的最佳位置，其产生用于可靠性更新的最大值。本文提出了一个计算框架，最佳监测位置的基础上，一个创新的度量称为信息的敏感性（SOI），量化的相对变化，无条件和有条件的可靠性指标。一个国家的实践情况下，隧道引起的沉降对建筑物的风险进行了深入探讨，以证明和评估所提出的框架的计算效率。
英文摘要：
The maturity of structural health monitoring technology brings ever-increasing opportunities for geotechnical structures and underground infrastructure systems to track the risk of structural failure, such as settlement-induced building damage, based on the monitored data. Reliability updating techniques can offer solutions to estimate the probability of failing to meet a prescribed objective using various types of information that are inclusive of equality and inequality. However, the update in reliability can be highly sensitive to monitoring location. Therefore, there may exist optimal locations in a system for monitoring that yield the maximum value for reliability updating. This paper proposes a computational framework for optimal monitoring location based on an innovative metric called sensitivity of information (SOI) that quantifies the relative change in unconditional and conditional reliability indexes. A state-of-the-practice case of risks posed by tunneling-induced settlement to buildings is explored in-depth to demonstrate and evaluate the computational efficiency of the proposed framework.
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