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Calibrating Crack Depth Threshold with Value of Information Analysis for Practical Pipeline Repair Policies
Pipeline cracks are a significant threat to the safety and reliability of energy infrastructure, requiring regular inspection and repair. However, repairing all possible cracks can be costly and time-consuming, especially if some cracks are not critical. This study proposes a method for calibrating crack depth thresholds to determine repair policies. The proposed method uses value of information (VoI) analysis to assess the value of obtaining additional information about the criticality of a crack beyond a certain depth threshold. The optimal crack depth threshold is determined by maximizing the VoI while satisfying safety criteria specified in codes for safety. Unlike previous studies that used VoI analysis for inspection planning, our proposed method optimizes the VoI to determine practical pipeline repair policies, which does not require probabilistic analysis (e.g., reliability assessment) to make a decision for repair. The presented method is applied to a numerical example in this paper, and sensitivity analysis is conducted to show how the optimal threshold varies with repair-to-failure cost ratio and prior information about the crack size. The optimal crack depth threshold for repair aims to balance the trade-off between the costs of repairs and the failure risk of pipe failure caused by a single critical crack. Results confirm that accurate prior information on factors such as crack size and inspection tool performance is essential for determining the optimal threshold. The study’s findings have important implications for the pipeline industry, where optimal repair policies based on VoI can help minimize maintenance costs and failure risks after inspection.
Calibrating Crack Depth Threshold with Value of Information Analysis for Practical Pipeline Repair Policies
Pipeline cracks are a significant threat to the safety and reliability of energy infrastructure, requiring regular inspection and repair. However, repairing all possible cracks can be costly and time-consuming, especially if some cracks are not critical. This study proposes a method for calibrating crack depth thresholds to determine repair policies. The proposed method uses value of information (VoI) analysis to assess the value of obtaining additional information about the criticality of a crack beyond a certain depth threshold. The optimal crack depth threshold is determined by maximizing the VoI while satisfying safety criteria specified in codes for safety. Unlike previous studies that used VoI analysis for inspection planning, our proposed method optimizes the VoI to determine practical pipeline repair policies, which does not require probabilistic analysis (e.g., reliability assessment) to make a decision for repair. The presented method is applied to a numerical example in this paper, and sensitivity analysis is conducted to show how the optimal threshold varies with repair-to-failure cost ratio and prior information about the crack size. The optimal crack depth threshold for repair aims to balance the trade-off between the costs of repairs and the failure risk of pipe failure caused by a single critical crack. Results confirm that accurate prior information on factors such as crack size and inspection tool performance is essential for determining the optimal threshold. The study’s findings have important implications for the pipeline industry, where optimal repair policies based on VoI can help minimize maintenance costs and failure risks after inspection.
Calibrating Crack Depth Threshold with Value of Information Analysis for Practical Pipeline Repair Policies
Lecture Notes in Civil Engineering
Desjardins, Serge (Herausgeber:in) / Poitras, Gérard J. (Herausgeber:in) / El Damatty, Ashraf (Herausgeber:in) / Elshaer, Ahmed (Herausgeber:in) / Nasrand, MohammadAli Ameri Fard (Autor:in) / Li, Yong (Autor:in)
Canadian Society of Civil Engineering Annual Conference ; 2023 ; Moncton, NB, Canada
Proceedings of the Canadian Society for Civil Engineering Annual Conference 2023, Volume 13 ; Kapitel: 18 ; 209-222
03.09.2024
14 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Value of information (VoI) , Pipeline maintenance , Pipeline inspection , Repair policy , Bayesian decision framework , Structural reliability Engineering , Building Construction and Design , Geoengineering, Foundations, Hydraulics , Transportation Technology and Traffic Engineering , Environment, general
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