Factorized wave propagation model in tree-type pipe networks and its application to leak localization. (15th January 2021)

• Record Type: Journal Article
• Authors: Wang, Xun; Camino, G. Adriana; Che, Tong-Chuan; Ghidaoui, Mohamed S.
• Is Part Of: Mechanical systems and signal processing. Volume 147(2021)
• Publication Date: 2021-01-15
• Subjects: Pipe network -- Tree network -- Leak localization -- Transient wave -- Matched-field processing; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2020.107116
• Languages: English
• ISSNs: 0888-3270

Abstract

Highlights: A transient model in tree-type pipe networks factoring leak parameters is derived. MFP is applied for leakage localization in tree-type pipe networks. The proposed leak detection method outperforms existing methods in noisy environments. A newly-built pipe network in laboratory is used to justify the proposed method. Abstract: In a leaky tree-structured pipe network, transient head and discharge at a measurement location arise from a superposition of the waves along the set of pipes linking the measurement location to each boundary node. Moreover, the solution can be split into a leak-free part and a term that accounts for the scattering from the leak, the latter varies linearly with leak size and nonlinearly with leak location. It is then shown that if the head adjacent to each boundary node is measured, any reasonably-sized leak can be uniquely and efficiently identified by the matched-field processing approach. The efficiency of the leak identification scheme stems from the linear dependence of wave scattering on leak size. The proposed method is successfully applied both numerically and to pilot data from a tree-structured system of viscoelastic pipes.