Surrogate-Assisted Inverse Transient Analysis (SAITA) for Leakage Detection in Pressurized Piping Systems
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RESEARCH PAPER
Surrogate‑Assisted Inverse Transient Analysis (SAITA) for Leakage Detection in Pressurized Piping Systems Saeed Sarkamaryan1 · Ali Haghighi1 · Seyed Mohammad Ashrafi1 · Hossein Mohammad Vali Samani1 Received: 22 April 2020 / Accepted: 12 October 2020 © Shiraz University 2020
Abstract The inverse transient analysis (ITA) is a well-known leak detection method for pressurized piping systems. In this method, unknown parameters of the number, location, and size of leakages are obtained through solving a nonlinear programming problem using an optimization technique. Both transient analysis and optimization are time consuming and make the whole process of ITA computationally inefficient. In this study to increase the efficiency of the ITA, the methods of Surrogate Assisted Genetic Algorithm-Local Search (SAGA-LS), SAGA-Pre Selection, and SAGA-Clustering Technique are investigated. The methods are applied to a benchmark example and the results are compared to the standard ITA. The results indicate that the ITA-SAGA-LS has the best performance with 92% increase in the accuracy of the calculated leakage area as compared to the standard ITA. Keywords Efficiency · Inverse transient analysis · Leakage detection · Optimization · Pressurized piping systems · Surrogate models
1 Introduction Identification of water loss is crucial for assessing piping systems. In addition to economic consequences of water losses, fluid leakage may lead to irreparable environmental and health risks (Weil 1993). In recent years, many studies have been carried out about the methods of leakage detection. The inverse transient analysis (ITA) is of well-known and promising model-based methods. Through the ITA, by maneuvering a valve in the system, a transient flow is created that forms pressure waves in the pipelines. The pressure waves move back and forth along pipelines and represent useful information about the system features. Based on the information reflected from the system, abnormalities like * Saeed Sarkamaryan [email protected] Ali Haghighi [email protected] Seyed Mohammad Ashrafi [email protected] Hossein Mohammad Vali Samani [email protected] 1
Faculty of Civil engineering and Architecture, Shahid Chamran University of Ahvaz, Ahvaz, Iran
leakage and blockage could be identified by processing the signal of pressure variations in time and space. The ITA surveys system through solving an inverse problem to identify the unknown parameters of leakage. The basis of the ITA is to match the transient pressure signals measured in the real system with those predicted by the hydraulic simulation model. For this purpose, an objective function is introduced to minimize the discrepancies between the measured and simulated data while the decision variables are unknown leakages. A variety of optimization techniques may be used to solve an ITA problem making decision on which is a challenge. The applied optimization method should be accurate, fast and able to overcome the multimodality of the ITA’s search space. Man
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