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Abdelkader, E M, Moselhi, O, Marzouk, M and Zayed, T (2021) Integrative Evolutionary-Based Method for Modeling and Optimizing Budget Assignment of Bridge Maintenance Priorities. Journal of Construction Engineering and Management, 147(09).
Ahmed, A, Mohammed, H A, Gambatese, J and Hurwitz, D (2021) Effects of Flashing Blue Lights Mounted on Paving Equipment on Vehicle Speed Behavior in Work Zones. Journal of Construction Engineering and Management, 147(09).
Cai, Q, Hu, Q and Ma, G (2021) Improved Hybrid Reasoning Approach to Safety Risk Perception under Uncertainty for Mountain Tunnel Construction. Journal of Construction Engineering and Management, 147(09).
- Type: Journal Article
- Keywords: Tunnel collapse; Safety risk; Uncertainty analysis; Extended cloud model (ECM); Dempster-Shafer (D-S) evidence theory; Information fusion;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002128
- Abstract:
Tunnel projects in mountainous areas are considered a kind of high-risk work due to the complexity of geological conditions, as well as the diversity of construction and management factors. Numerous research efforts have been made to estimate the risk level of tunnel collapse by multicriteria decision-making (MCDM) methods considering a variety of risk factors, aiming to provide a decision basis for risk management. However, the uncertainty of fuzziness and randomness existing in evaluation factors gradation are usually neglected. The information fusion method based on extension theory (ET) is an effective tool for uncertain information reasoning. Nevertheless, the potential contribution of each piece of evidence to the fusion result has not been given enough attention. To overcome these deficiencies, this paper presents a novel hybrid reasoning approach to perceive the risk level of mountain tunnel collapse under uncertainty by integrating the extended cloud model (ECM) and improved Dempster-Shafer (D-S) evidence theory at the construction stage. ET and cloud model (CM) are merged to construct the basic probability assignments (BPAs) of the influenceable variables corresponding to different risk states under uncertainty, i.e., the randomness and fuzziness. The overall risk level is derived from a fusion of all the influenceable factors using the improved D-S theory developed in this paper. Specifically, the weight of each piece of evidence is assessed considering its importance to risk perception results and used to improve the evidence source by the discounting method before evidence fusion. Evidence conflicts are resolved through a weighted-average fusion process based on the evidence distance. Besides, a confidence indicator is introduced to assess the reliability of the fusion results. Finally, a case study in Canglongxia Tunnel is employed to verify the validity of the developed approach. The method proposed in this paper has the potential to reduce the deviation of risk assessment results for tunnel collapse in mountain tunnel construction induced by the uncertainty of risk factors.
Chen, B, Yu, X, Dong, F, Zheng, C, Ding, G and Wu, W (2021) Compaction Quality Evaluation of Asphalt Pavement Based on Intelligent Compaction Technology. Journal of Construction Engineering and Management, 147(09).
Hajj, C E, Jawad, D and Montes, G M (2021) Analysis of a Construction Innovative Solution from the Perspective of an Information System Theory. Journal of Construction Engineering and Management, 147(09).
Hasan, A, Rameezdeen, R, Baroudi, B and Ahn, S (2021) Mobile ICT–Induced Informal Work in the Construction Industry: Boundary Management Approaches and Consequences. Journal of Construction Engineering and Management, 147(09).
Hassan, F u, Le, T and Lv, X (2021) Addressing Legal and Contractual Matters in Construction Using Natural Language Processing: A Critical Review. Journal of Construction Engineering and Management, 147(09).
Huang, H, Zhang, C and Hammad, A (2021) Effective Scanning Range Estimation for Using TLS in Construction Projects. Journal of Construction Engineering and Management, 147(09).
Jiang, Y and Bai, Y (2021) Low–High Orthoimage Pairs-Based 3D Reconstruction for Elevation Determination Using Drone. Journal of Construction Engineering and Management, 147(09).
Johannes, K, Theodorus Voordijk, J, Marias Adriaanse, A and Aranda-Mena, G (2021) Identifying Maturity Dimensions for Smart Maintenance Management of Constructed Assets: A Multiple Case Study. Journal of Construction Engineering and Management, 147(09).
Kar, S and Jha, K N (2021) Exploring the Critical Barriers to and Enablers of Sustainable Material Management Practices in the Construction Industry. Journal of Construction Engineering and Management, 147(09).
Noghabaei, M, Han, K and Albert, A (2021) Feasibility Study to Identify Brain Activity and Eye-Tracking Features for Assessing Hazard Recognition Using Consumer-Grade Wearables in an Immersive Virtual Environment. Journal of Construction Engineering and Management, 147(09).
Perez-Perez, Y, Golparvar-Fard, M and El-Rayes, K (2021) Scan2BIM-NET: Deep Learning Method for Segmentation of Point Clouds for Scan-to-BIM. Journal of Construction Engineering and Management, 147(09).
Raoufi, M and Fayek, A R (2021) How to Improve Crew Motivation and Performance on Construction Sites. Journal of Construction Engineering and Management, 147(09).
Taghizadeh, K, Alizadeh, M and Yavari Roushan, T (2021) Cooperative Game Theory Solution to Design Liability Assignment Issues in BIM Projects. Journal of Construction Engineering and Management, 147(09).
Votto, R, Lee Ho, L and Berssaneti, F (2021) Earned Duration Management Control Charts: Role of Control Limit Width Definition for Construction Project Duration Monitoring. Journal of Construction Engineering and Management, 147(09).
Xu, Y, Shen, X, Lim, S and Li, X (2021) Three-Dimensional Object Detection with Deep Neural Networks for Automatic As-Built Reconstruction. Journal of Construction Engineering and Management, 147(09).