Risk Assessment of Concrete Quality Defects in Sewage and Drainage Pumping Station Projects Based on ISM-BN

Concrete, as the fundamental material in sewage and drainage pumping station projects, directly impacts the safety and stability of construction and operation after delivery. To comprehensively assess the potential risks brought about by concrete quality defects, this study proposes a risk assessment method combining Interpretive Structural Modeling (ISM) and Bayesian Networks (BN). Firstly, based on literature review and field research, the method analyzes the formation mechanism of concrete quality defects and establishes a risk index system. Secondly, ISM is employed to explore the hierarchical relationships and correlations among factors. Subsequently, BN is integrated to quantitatively evaluate the risk of quality defects. Finally, the model is validated using data from a specific sewage and drainage pumping station project. This study provides a strong basis for identifying and evaluating the risk of quality defects in drainage plant and station engineering at home and abroad, which is beneficial for reducing the probability of concrete quality defects in engineering and has practical significance for improving engineering quality.

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Publication Details

Published
2025-03-26
DOI
https://doi.org/10.1061/9780784485910.050
Primary Topic
Innovations in Concrete and Construction Materials
Type
article
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article

Risk Assessment of Concrete Quality Defects in Sewage and Drainage Pumping Station Projects Based on ISM-BN

Daoyuan Guo, Bin Zhang, Zhuoya Zhao, Yanhua Wang
Innovations in Concrete and Construction Materials
article

Risk Assessment of Concrete Quality Defects in Sewage and Drainage Pumping Station Projects Based on ISM-BN

Daoyuan Guo, Bin Zhang, Zhuoya Zhao, Yanhua Wang
article en

Abstract

Concrete, as the fundamental material in sewage and drainage pumping station projects, directly impacts the safety and stability of construction and operation after delivery. To comprehensively assess the potential risks brought about by concrete quality defects, this study proposes a risk assessment method combining Interpretive Structural Modeling (ISM) and Bayesian Networks (BN). Firstly, based on literature review and field research, the method analyzes the formation mechanism of concrete quality defects and establishes a risk index system. Secondly, ISM is employed to explore the hierarchical relationships and correlations among factors. Subsequently, BN is integrated to quantitatively evaluate the risk of quality defects. Finally, the model is validated using data from a specific sewage and drainage pumping station project. This study provides a strong basis for identifying and evaluating the risk of quality defects in drainage plant and station engineering at home and abroad, which is beneficial for reducing the probability of concrete quality defects in engineering and has practical significance for improving engineering quality.

Wuhan University of Technology (CN)
Clean water and sanitation
Openalex Percentile: Top 95%
Innovations in Concrete and Construction Materials
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