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Leak localization under multipath acoustic propagation in buried pipelines
Leak localization under multipath acoustic propagation in buried pipelines
Contributions:
Proposed a new method for localizing leaks in water distribution networks (WDNs) using maximum likelihood (ML) estimation combined with graph theory.
Introduced a formal definition of "interior points" (IPs) and the conditions under which leaks can be pinpointed or only localized to the nearest pipe joint.
Demonstrated, through simulation studies, that the proposed method can accurately pinpoint leaks when the simulated leak satisfies the defined conditions.
Validated the method experimentally on a laboratory test bed, showing that a simulated leak can be pinpointed to within 10 cm of the actual leak location.
Figure (right) reproduced from: Agrawal, P., Fong, S., Friesen, D., Narasimhan, S. (2024). “Maximum Likelihood Estimation to Localize Leaks in Water Distribution Networks", ASCE Journal of Pipeline Systems Engineering and Practice, 14(4): 04023038.
Leak localization in operational water distribution networks using a cross-correlation based approach
Leak localization in operational water distribution networks using a cross-correlation based approach
Contributions:
Demonstrated leak localization using acoustic (hydrophone) data in a full-scale water distribution network (WDN) in California, USA, with complex features like multiple bends and T-junctions, addressing real-world challenges.
Employed a cross-correlation-based maximum likelihood estimation method to localize leaks under non-line-of-sight (NLOS) conditions, overcoming limitations of traditional correlation techniques in complex pipe networks.
Proposed an optimization framework using particle swarm optimization (PSO) to correct time delay errors caused by desynchronized sensor clocks, improving localization accuracy.
Estimated the speed of sound in the WDN using acoustic signals from the cross-correlation approach, enhancing the accuracy of leak localization.
Introduced variable threshold values for selecting peaks in cross-correlation curves, improving upon fixed threshold methods for more robust time delay estimation.
Figure (right) reproduced from: Agrawal, P., Narasimhan, S. (2025). Leak localization in operational water distribution networks using a cross-correlation based approach, ASCE Journal of Pipeline Systems Engineering and Practice, 16(4).
Continuum modeling and vibrations analysis of cable-harnessed plate structures
Continuum modeling and vibrations analysis of cable-harnessed plate structures
Contributions:
Developed a continuum mechanics-based model for predicting the vibration characteristics of cable-harnessed plate structures with periodic cable-wrapping patterns.
Captured the stiffening and added mass effects of cables by using an energy-based formulation to develop composite plate-like PDEs.
Provided parametric insights into how cable material, cable radius, and wrapping pattern influence natural frequencies and modal shapes, offering guidelines for designing lightweight, vibration-optimized structures.
Extended the theoretical framework into full-scale experimental validation for periodically cable-harnessed plate structures.
Figure (right) reproduced from: Agrawal, P., Salehian, A. (2021). “Continuum modeling and vibrations analysis of cable-harnessed plate structures of periodic patterns", ASME Journal of Vibration and Acoustics, 143(6): 061007
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