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<p>The vast amount of data generated during tunnel construction is crucial for project plan execution, quality control, and safety management. This study aims to enhance information transmission efficiency and security through the application of blockchain technology and to establish a tunnel construction quality control model using Bayesian networks. The results indicate that when the quality state distribution is abnormal, the probability of quality assessment values for reinforcement quality inspection, reinforcement joint welding, and construction personnel skill qualifications each exceed 40%, necessitating engineering quality diagnosis. The variation trend of formwork quality assessment results under the three conditions is essentially consistent with that of reinforcement quality. Similarly, the variation trend of concrete quality assessment results aligns with the trends observed for formwork and reinforcement quality. By integrating Bayesian networks with blockchain technology, this study optimizes the tunnel construction quality control system, effectively manages uncertain factors in construction quality, and enhances both the quality control system and construction information management level.</p>

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Research on tunnel construction quality control based on blockchain technology and Bayesian networks

  • 期刊论文

  • 发表日期：

    2026年7月27日

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  • Li-ping Cai,
  • Qiaona Gong,
  • Feng Jiang,
  • Mingzhan Yuan,
  • Zhiyong Xiao,
  • Shuai Zhang,
  • Chengcheng Zheng,
  • Yue Wu

摘要

The vast amount of data generated during tunnel construction is crucial for project plan execution, quality control, and safety management. This study aims to enhance information transmission efficiency and security through the application of blockchain technology and to establish a tunnel construction quality control model using Bayesian networks. The results indicate that when the quality state distribution is abnormal, the probability of quality assessment values for reinforcement quality inspection, reinforcement joint welding, and construction personnel skill qualifications each exceed 40%, necessitating engineering quality diagnosis. The variation trend of formwork quality assessment results under the three conditions is essentially consistent with that of reinforcement quality. Similarly, the variation trend of concrete quality assessment results aligns with the trends observed for formwork and reinforcement quality. By integrating Bayesian networks with blockchain technology, this study optimizes the tunnel construction quality control system, effectively manages uncertain factors in construction quality, and enhances both the quality control system and construction information management level.