Risk Assessment of Bridge Construction Safety Considering Multi-Information Fusion
Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 8, Issue 4
Abstract
Due to the rapid development in the number of bridges worldwide, risk assessment has gradually been an important step to evaluate the safety of bridge construction. However, the assessment results are usually affected by the subjectivity and individual preference of the bridge experts. In this paper, an innovative bridge construction risk assessment algorithm considering multi-information fusion is proposed based on cluster analysis, set-valued statistic, and entropy method. First, the weight of each individual expert is obtained by adopting cluster analysis to reduce the influence of individual bias from experts. Second, the index weight considering importance-based and condition-based information fusion is achieved based on the minimum cross-entropy principle. The importance-based weight of each index is achieved by the fall-shadow method based on the set-valued statistic. The condition-based weight of each index is computed using the entropy method with respect to the evaluation results of the indexes. Finally, the fuzzy comprehensive evaluation process is utilized to conduct the assessment from the bottom layer to the target layer inside the hierarchical risk index system; the risk level of the target bridge construction safety and corresponding control principle are achieved based on the risk evaluation criteria. An example risk assessment of the construction stage for a long-span suspension bridge is applied to illustrate the validity of the proposed approach.
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Data Availability Statement
All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The research work was supported in part by the National Natural Science Foundation of China (Grant Nos. 51908503 and 51909236), the Natural Science Foundation of Jiangsu Province (Grant No. BK20200793) and the Natural Science Foundation of Zhejiang Province (Grant No. LGF22E080018). Opinions and findings presented are those of the authors and do not necessarily reflect the views of the sponsors.
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Published In
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 8 • Issue 4 • December 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Jan 8, 2022
Accepted: May 27, 2022
Published online: Aug 5, 2022
Published in print: Dec 1, 2022
Discussion open until: Jan 5, 2023
ASCE Technical Topics:
- Bridge tests
- Buildings
- Business management
- Construction engineering
- Construction industry
- Construction management
- Construction methods
- Disaster risk management
- Engineering fundamentals
- Engineering mechanics
- Entropy methods
- Field tests
- High-rise buildings
- Infrastructure construction
- Mathematics
- Occupational safety
- Practice and Profession
- Public administration
- Public health and safety
- Risk management
- Safety
- Statistics
- Structural engineering
- Structures (by type)
- Tests (by type)
- Thermodynamics
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