Developing a Model for Analyzing Risks Affecting Machinery Tunnel Execution

Author:

Eid Mohamed A.1ORCID,Hu Jong Wan23ORCID,Issa Usama4ORCID

Affiliation:

1. Civil Engineering Department, Faculty of Engineering, Minia University, Minia 61519, Egypt

2. Department of Civil and Environmental Engineering, Incheon National University, Incheon 22022, Republic of Korea

3. Incheon Disaster Prevention Research Center, Incheon National University, Incheon 22022, Republic of Korea

4. Civil Engineering Department, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia

Abstract

Tunneling projects face several risks during the execution stage that affect the execution objectives (cost, time, quality, and safety). This study aimed to define the main execution activities of machinery tunnels with the associated risk factors and to develop a model for evaluating and analyzing the effects of the risk factors on the execution stage. The recognized activities of executing tunnels included the following: (A01) thrust and reception shaft installation; (A02) machine setup and break-in; (A03) machine progression and lining placing; and (A04) machine break-out and removal. Additionally, thirty-two risk factors associated with these activities were identified. Risk factor probability of occurrence and impacts on cost, time, quality, and safety were determined. Due to this risky and uncertain environment, the fuzzy logic method was applied for developing a model to analyze the effects of the risks on the tunneling process. The model was applied and verified using data collected in Egypt. Many correlations were determined among risk factors that affected tunneling execution objectives, resulting in close relationships with each other. The results emphasized many significant risk factors, such as “conflict between technical geological report and the ground nature”, and “shaft wall damage during break-out”. A03, which is related to machine progression and lining placing, was declared the riskiest activity group during tunneling execution. Further, safety was rated as the objective most affected by risks. The risk model presented in this study can be modified and applied to other cases, while the results and key risks can support the decision-makers who deal with tunneling construction.

Funder

Ministry of Land, Infrastructure, and Transport

Publisher

MDPI AG

Subject

Building and Construction,Civil and Structural Engineering,Architecture

Reference78 articles.

1. Proposing a new methodology based on fuzzy logic for tunnelling risk assessment;J. Civ. Eng. Manag.,2014

2. Risk analysis of TBM tunneling projects based on generic bow-tie risk analysis approach in difficult ground conditions;Sharafat;Tunn. Undergr. Sp. Technol.,2021

3. Rush, J. (2023, June 08). Shaft Design and Construction, Tunnel Business Magazine, Available online: https://tunnelingonline.com/shaft-design-and-construction/.

4. Zhou, F., AbouRizk, S.M., and Fernando, S. (2008, January 7–10). A simulation template for modeling tunnel shaft construction. Proceedings of the 2008 Winter Simulation Conference, Miami, FL, USA.

5. Hu Construction Techniques and Safety Analysis for a Deep Vertical Shaft and Vertical Shaft Shifting to Main Tunnel;An;Mod. Tunn. Technol.,2018

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