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Related Concept Videos

Multiple Pipe Systems01:21

Multiple Pipe Systems

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Multipipe systems consist of complex configurations of interconnected pipes designed to transport fluids efficiently across intricate networks. They are essential in engineering applications requiring precise control over flow distribution, pressure, and head loss. They are categorized into series, parallel, loop, and network configurations, each distinguished by unique flow characteristics and applications.
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Related Experiment Video

Updated: Jan 12, 2026

Visualization of Flow Field Around a Vibrating Pipeline Within an Equilibrium Scour Hole
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Enhanced multi-leak detection in pressurized pipelines using super-resolution matched-field processing.

Can Xu1, Muhammad Waqar2, Moez Louati3

  • 1Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China; Ningbo Urban Construction Investment Group Co., Ltd., Ningbo, China.

Water Research
|November 4, 2025
PubMed
Summary
This summary is machine-generated.

Detecting multiple pipeline leaks early is vital for infrastructure maintenance. This study introduces a new acoustic method for precisely locating and sizing several leaks simultaneously, even in noisy conditions.

Keywords:
Efficient water managementMatched-field processingPipeline multi-leak detectionSmart urban water systemsTransient waves

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Area of Science:

  • Civil Engineering
  • Acoustics
  • Signal Processing

Background:

  • Pipeline leaks indicate poor infrastructure condition, necessitating early detection for timely intervention.
  • Existing methods struggle with detecting clusters of closely spaced leaks.

Purpose of the Study:

  • To extend the modified broadband matched-field processing (MB-MFP) framework for multi-leak detection in pressurized water supply pipelines.
  • To develop a methodology for simultaneous estimation of the number, locations, and sizes of multiple leaks.

Main Methods:

  • Utilizing a high-resolution modified broadband matched-field processing (MB-MFP) framework.
  • Combining advanced signal processing with acoustic measurements for super-resolution identification.
  • Testing robustness against various noise types (white, colored, impulse) and low signal-to-noise ratios (SNR as low as -10 dB).

Main Results:

  • Achieved super-resolution identification of leaks spaced closer than half the minimum probing wavelength.
  • Successfully demonstrated simultaneous estimation of multiple leak parameters (number, locations, sizes).
  • Validated robustness and effectiveness through extensive numerical simulations and laboratory experiments.

Conclusions:

  • The proposed MB-MFP framework offers a novel and effective solution for detecting multiple pipeline leaks.
  • The developed methodology provides accurate and robust multi-leak detection, even under challenging noisy conditions.
  • This advancement enables earlier recognition of pipeline degradation and facilitates proactive maintenance strategies.