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Sustainable Safety Assessment and Failure Analysis of Urban Underground Pipeline Networks

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 1243

Special Issue Editors

Prof. Dr. Bin Li

E-Mail Website
Collection Editor
School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China
Interests: safe operation and maintenance of underground pipelines; underground disaster prevention and control; engineering safety and protection
Dr. Kejie Zhai

E-Mail Website
Collection Editor
School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China
Interests: underground engineering disaster prevention
Special Issues, Collections and Topics in MDPI journals
Dr. Xueming Du

E-Mail Website
Collection Editor
School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China
Interests: engineering adverse disaster control; research and development of new grouting materials; reliability assessment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Urban underground pipeline systems, including water supply, drainage, and energy transportation networks, form the backbone of modern cities. However, aging infrastructure, increasing environmental stress, and operational demands pose significant challenges to their safety, sustainability, and reliability. Corrosion defects, coupled with complex loading conditions and surface irregularities, frequently contribute to failures, leading to economic losses, environmental issues, and social disruptions. This Collection aims to address the safety assessment, failure analysis, and sustainable management of underground pipeline systems using advanced computational and analytical approaches. It aligns with the scope of Sustainability by integrating innovative assessment methods, predictive models, and cutting-edge technologies to promote sustainable urban infrastructure solutions. We invite submissions that contribute to understanding underground pipeline safety and management, focusing on topics such as numerical modeling, failure prediction methods, defect characterization, digital twins, and sustainable maintenance strategies. Original research articles, reviews, and case studies highlighting theoretical advancements and practical applications are welcome. We look forward to receiving your contributions.

Prof. Dr. Bin Li
Dr. Kejie Zhai
Dr. Xueming Du
Collection Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • underground pipeline systems corrosion defects
  • finite element analysis (FEA)
  • digital twins
  • defect interaction
  • failure prediction models
  • surface roughness characterization
  • pipeline rehabilitation strategies
  • complex loading conditions
  • sustainable infrastructure

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Published Papers (2 papers)

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Research

13 pages, 1001 KB  
Article
Transient-Aware Multi-Objective Optimization of Water Distribution Systems for Cost and Fire Flow Reliability
by Bongseog Jung, Dongwon Ko and Sanghyun Kim
Sustainability 2025, 17(18), 8274; https://doi.org/10.3390/su17188274 - 15 Sep 2025
Viewed by 410
Abstract
Urban water distribution systems, as integral parts of underground pipeline networks, face challenges from aging infrastructure, operational demands, and transient pressure surges that can compromise structural integrity and service reliability. This work introduces a cost-oriented multi-objective design framework that explicitly accounts for both [...] Read more.
Urban water distribution systems, as integral parts of underground pipeline networks, face challenges from aging infrastructure, operational demands, and transient pressure surges that can compromise structural integrity and service reliability. This work introduces a cost-oriented multi-objective design framework that explicitly accounts for both the likelihood of fire flow failure and the risks posed by transient pressures. The approach links a probabilistic reliability model with a transient pressure evaluation module, and couples both within a non-dominated sorting genetic algorithm to generate Pareto-optimal design solutions. Design solutions are constrained to maintain transient pressures within permissible limits, ensuring enhanced pipeline safety while optimizing capital costs. Case studies show that adopting a minimum 150 mm distribution main improves fire flow capacity and reduces transient-induced failure risks. The proposed method provides a predictive, computational tool that can be integrated into digital twin environments, supporting sustainable infrastructure planning, long-term monitoring, and proactive maintenance for resilient urban water supply systems. Full article
(This article belongs to the Special Issue Sustainable Safety Assessment and Failure Analysis of Urban Underground Pipeline Networks)
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22 pages, 7255 KB  
Article
Multi-Objective Optimization and ML-Driven Sustainability Mechanical Performance Enhancement of Trenchless Spiral Wound Lining Rehabilitation
by Siying Zhang, Kangfu Sun, Shaoqing Peng, Zongyuan Zhang and Jingguo Cao
Sustainability 2025, 17(18), 8109; https://doi.org/10.3390/su17188109 - 9 Sep 2025
Viewed by 356
Abstract
Addressing safety, environmental, and economic challenges associated with aging urban underground pipeline infrastructure, this study develops an integrated multi-objective optimization framework for sustainable trenchless spiral wound lining (SWL) rehabilitation. The framework integrates machine learning (ML)-driven predictive modeling with structural performance enhancement technologies to [...] Read more.
Addressing safety, environmental, and economic challenges associated with aging urban underground pipeline infrastructure, this study develops an integrated multi-objective optimization framework for sustainable trenchless spiral wound lining (SWL) rehabilitation. The framework integrates machine learning (ML)-driven predictive modeling with structural performance enhancement technologies to advance urban infrastructure management. To enhance the mechanical performance of SWL liners, a multi-objective structural optimization was conducted to systematically examine the impact of strip profile cross-sectional parameters on ring stiffness (Sp), material consumption (V), and total strip profile height (H). ANSYS finite element analysis was employed to conduct numerical simulations of ring stiffness tests for various liner structures, and Sp was calculated based on the resultant loading force (F). Random Forest (RF), Support Vector Regression (SVR), and Extreme Gradient Boosting (XGBoost) were evaluated for predicting F and V. The results demonstrated that the SVR model achieved high accuracy in predicting F (R2 = 0.9873), while the XGBoost model exhibited excellent performance in predicting V (R2 = 0.97). Using the Non-dominated Sorting Genetic Algorithm II (NSGA-II), multi-objective optimization of the SWL liner was performed, yielding an optimized liner that showed a 24.46% improvement in Sp with only a 1.82% increase in V. The established predictive formula for SWL liner Sp increments (R2 = 0.9874) provides an efficient tool for structural optimization, offering important technical support and a theoretical foundation for sustainable urban pipeline infrastructure management. Full article
(This article belongs to the Special Issue Sustainable Safety Assessment and Failure Analysis of Urban Underground Pipeline Networks)
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