Resilience-Based Restoration Model for Optimizing Corrosion Repair Strategies in Tunnel Lining

• Published in: Reliability engineering & system safety Vol. 253; p. 110546
• Main Authors: Zhang, Qian, Nie, Yaoqi, Du, Yanliang, Zhao, Weigang, Cao, Shujie
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.01.2025
• Subjects: Corrosion; Maintenance timing; Resilience; Strategy; Tunnel maintenance; Strategy; Tunnel maintenance; Corrosion; Resilience; Maintenance timing
• ISSN: 0951-8320
• DOI: 10.1016/j.ress.2024.110546

•Optimize tunnel maintenance strategies by analyzing failures resulting from the corrosion of tunnel reinforcement, with a focus on identifying critical maintenance time points.•The model combines entropy weighting and Bayesian updating methods, not only considering multiple failure modes but also improving the model's accuracy.•Various maintenance strategies were quantitatively evaluated using resilience and effectiveness metrics, offering a scientific approach to balancing economic considerations with long-term performance. In tunnel engineering, the corrosion of steel rebar is a critical factor leading to structural degradation and failure, causing a decline in load-bearing capacity, deformation, and cracking. For decision-makers, identifying the optimal timing for tunnel maintenance and selecting effective repair strategies is of paramount importance. This study introduces a resilience-based restoration model to analyze tunnel failure due to corrosion throughout its service life and to optimize the timing and selection of maintenance strategies. The model generates time-variant failure curves by constructing limit equilibrium equations. The entropy weight method is employed to quantify and weight the impact of various failure modes, determining the timing for maintenance when the failure curve exceeds a predefined threshold. Additionally, the model's uncertainty is effectively reduced through regular inspections and Bayesian updating methods, enhancing prediction accuracy. The study further incorporates a resilience index and a benefit index to provide a quantitative assessment of maintenance plans, assisting decision-makers in selecting the optimal strategy. By exemplifying the model with a case study of steel rebar corrosion in a tunnel, this paper demonstrates the model's applicability and offers a new scientific approach for quantitative maintenance decision-making in tunnel engineering.