Unveiling the Dual-Coupling Mechanism of Pipe Bursts: Integrating Transient Hydraulics, Geometric Stress, and Adaptive Parallel Computing

Pipe burst risk assessment is frequently hindered by the inability to capture nonlinear interactions between transient hydraulics and complex network geometries. This disconnect often leaves failures in ostensibly safe low-pressure zones unexplained. This study proposes a high-fidelity Computational-Geometric-Physical framework to resolve this challenge. First, to overcome computational bottlenecks, we present a Topology-Adaptive Spectral Partitioning and Geometric Extraction (TAS-PGE) that accelerates large-scale simulations by 1.51×. This efficiency enables our core innovation: the Geometric-Hydraulic Dual Coupling Model (GH-DCSIM). It reveals a critical mechanism where transient waves and acute bends amplify stress far beyond static predictions. Crucially, we prove that traditional static methods underestimate risks in U-bends by 2.9-fold (Safety Factor 2.00 vs 0.68), misidentifying imminent failures as safe. Finally, a variable wave speed mechanism incorporating gas–liquid interaction eliminates physical distortions. To establish physical applicability, we constructed a comprehensive Literature Benchmark Database, comprising real-world accident reconstructions, design limit states, and synthetic parametric scenarios. Independent validation on 34 real-world cases confirms the framework’s robustness, with the mean burst-risk ratio significantly exceeding the failure limit of 1.0 (mean R = 2.80; 95% CI: [1.847, 3.911]). This work shifts the paradigm from pressure-dominated assessment to multiphysics coupling, providing a rigorous basis for predictive maintenance.

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Publication Details

Journal
ACS ES&T Water
Published
2026-06-25
DOI
https://doi.org/10.1021/acsestwater.6c00491
Primary Topic
Water Systems and Optimization
Type
article
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article

Unveiling the Dual-Coupling Mechanism of Pipe Bursts: Integrating Transient Hydraulics, Geometric Stress, and Adaptive Parallel Computing

Haoqiang Tan, Tianwei Mu, Manhong Huang, Feiyu Duan et al.
ACS ES&T Water
Water Systems and Optimization
article

Unveiling the Dual-Coupling Mechanism of Pipe Bursts: Integrating Transient Hydraulics, Geometric Stress, and Adaptive Parallel Computing

Haoqiang Tan, Tianwei Mu, Manhong Huang, Feiyu Duan, Bo Zhou
article en

Abstract

Pipe burst risk assessment is frequently hindered by the inability to capture nonlinear interactions between transient hydraulics and complex network geometries. This disconnect often leaves failures in ostensibly safe low-pressure zones unexplained. This study proposes a high-fidelity Computational-Geometric-Physical framework to resolve this challenge. First, to overcome computational bottlenecks, we present a Topology-Adaptive Spectral Partitioning and Geometric Extraction (TAS-PGE) that accelerates large-scale simulations by 1.51×. This efficiency enables our core innovation: the Geometric-Hydraulic Dual Coupling Model (GH-DCSIM). It reveals a critical mechanism where transient waves and acute bends amplify stress far beyond static predictions. Crucially, we prove that traditional static methods underestimate risks in U-bends by 2.9-fold (Safety Factor 2.00 vs 0.68), misidentifying imminent failures as safe. Finally, a variable wave speed mechanism incorporating gas–liquid interaction eliminates physical distortions. To establish physical applicability, we constructed a comprehensive Literature Benchmark Database, comprising real-world accident reconstructions, design limit states, and synthetic parametric scenarios. Independent validation on 34 real-world cases confirms the framework’s robustness, with the mean burst-risk ratio significantly exceeding the failure limit of 1.0 (mean R = 2.80; 95% CI: [1.847, 3.911]). This work shifts the paradigm from pressure-dominated assessment to multiphysics coupling, providing a rigorous basis for predictive maintenance.

ACS ES&T Water
Shenyang University of Technology (CN), Donghua University (CN), Environmental Protection Engineering (Greece) (GR), Guangdong Institute of Intelligent Manufacturing (CN), Taizhou University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Water Systems and Optimization
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