Optimizing utilization strategy of real-time SHM information for structural integrity management based on preposterior decision analysis

In the context of structural integrity management (SIM), effective utilization of real-time structural health monitoring (SHM) information is crucial for minimizing the expected value of life-cycle costs. To enhance the benefits of real-time SHM information for SIM, this paper introduces a framework aimed at optimizing the utilization of real-time SHM information from a life-cycle perspective, grounded in Bayesian posterior decision analysis. In addressing this issue, the paper utilizes a robust probabilistic model that is intimately connected with real-time SHM information. This model plays a crucial role in quantifying how the availability of real-time SHM data impacts the benefits of SIM. Following this quantification in the proposed analytical framework, the paper conducts a comprehensive comparative analysis of various utilization strategies, highlighting their respective efficiencies and effectiveness in the context of SIM. Through a case study centered on a weld exposed to fatigue loading, the paper not only showcases the proposed framework but also demonstrates its efficacy in identifying the optimal strategy for real-time SHM information utilization.