Impact of occupational risk prevention measures during process disturbances in TBM tunnelling

Terheijden, O.T.; Gelder, P.H.A.J.M. van; Broere, W.

doi:10.1016/j.tust.2022.104576

Cited by 3 publications

(2 citation statements)

References 11 publications

(12 reference statements)

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“…Other studies seek to propose appropriate risk mitigation strategies to avoid injuries to construction workers through risk analysis. For instance, Terheijden et al [27] employed accident prediction scenarios to compare registered process disturbances with regular processes. They found that suitable safety design and correct use of risk mitigation measures are key to reducing safety risks.…”

Section: Construction Workers and Safety Risk Analysis In Railway Tun...mentioning

confidence: 99%

Research on Construction Workers’ Safety Risk Sharing in Tunneling Projects Based on a Two-Mode Network: A Case Study of the Shangwu Tunnel

Cai,

Huang,

Peng

2023

Buildings

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There is a high level of construction safety risk shared among construction workers in tunneling projects due to collaboration on the narrow and semi-enclosed construction site. However, no one has reported on this. Therefore, this paper proposes a new network model to explore risk-sharing features among construction workers based on a two-mode network. That model represents a new personnel safety management tool to provide suitable risk mitigation for tunneling projects. First, the work breakdown structure (WBS)–risk breakdown structure (RBS) method was employed to identify construction activities, risk resources, and construction safety risk factors (CSRFs). Subsequently, the two-mode WBS–RBS matrix was further established. The construction workers’ sets were determined based on the organization breakdown structure (OBS)–WBS method and a two-mode OBS–WBS matrix was established. By applying the construction activities in the WBS tree carrying the CSRFs as the link, a two-mode OBS–RBS network was established by converting the two-mode WBS–RBS and OBS–WBS matrices. Hence, taking CSRFs allocated by several construction workers as a basis for network generation, the construction workers’ risk-sharing network was further established. Centrality analysis identified the network characteristics and determined the most important construction workers in risk network. For example, this model was employed to explore the whole network characteristics of the Shangwu Tunnel and identify the workers in key positions in the risk-sharing network. Expert interviews demonstrated the model’s rationality and practicality. The results show that each construction worker’s safety risk-sharing degree in the Shangwu tunnel differed and reached varying levels. However, the staff from the engineering management department were in the key position of the risk-sharing network. Collectively, this model can help construction workers understand their risk-sharing degree to improve their safety awareness and adjust their attitude toward safety accordingly. Moreover, this strategy provides project managers with the necessary information to more effectively allocate safety resources and to be cognizant of the safety quality of each construction worker according to the different risk-sharing degrees.

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Section: Construction Workers and Safety Risk Analysis In Railway Tun...mentioning

confidence: 99%

Research on Construction Workers’ Safety Risk Sharing in Tunneling Projects Based on a Two-Mode Network: A Case Study of the Shangwu Tunnel

Cai,

Huang,

Peng

2023

Buildings

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“…A tunnel boring machine (TBM) is a piece of equipment uniting mechanical, electronic, hydraulic, and laser technologies for large−scale, industrialized tunnel excavation. It boasts advantages such as a relatively steady excavation speed, shorter construction periods, a minimized ecological impact, and overall high efficiency [ 1 ]. However, during the TBM excavation process, the harsh working environment inside the tunnel and the inherent complexity of the cutting tool system at the machine’s forefront contribute to a higher incidence of tooling system failures during construction.…”

Section: Introductionmentioning

confidence: 99%

SSFLNet: A Novel Fault Diagnosis Method for Double Shield TBM Tool System

Zhou,

Liu,

et al. 2024

Sensors

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In tunnel boring projects, wear and tear in the tooling system can have significant consequences, such as decreased boring efficiency, heightened maintenance costs, and potential safety hazards. In this paper, a fault diagnosis method for TBM tooling systems based on SAV−SVDD failure location (SSFL) is proposed. The aim of this method is to detect faults caused by disk cutter wear during the boring process, which diminishes the boring efficiency and is challenging to detect during construction. This paper uses SolidWorks to create a complete three−dimensional model of the TBM hydraulic thrust system and tool system. Then, dynamic simulations are performed with Adams. This helps us understand how the load on the propulsion hydraulic cylinder changes as the TBM tunneling tool wears to different degrees during construction. The hydraulic propulsion system was modeled and simulated using AMESIM software. Utilizing the load on the hydraulic propulsion cylinder as an input signal, pressure signals from the two chambers of the hydraulic cylinder and the system’s flow signal were acquired. This enabled an in−depth exploration of the correlation between these acquired signals and the extent of the tooling system failure. Following this analysis, a collection of normal sample data and sample data representing different degrees of disk cutter abrasions was amassed for further study. Next, an SSFL network model for locating the failure area of the cutter was established. Fault sample data were used as the input, and the accuracy of the fault diagnosis model was tested. The test results show that the performance of the SSFL network model is better than that of the SAE−SVM and SVDD network models. The SSFL model achieves 90% accuracy in determining the failure area of the cutter head. The model effectively identifies the failure regions, enabling timely tool replacement to avoid decreased boring efficiency under wear conditions. The experimental findings validate the feasibility of this approach.

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Assessment of the benefits of cooling vests on working conditions of mine operators in hard climatic conditions: A case study

Lubosz,

Smoliło,

Chmiela

et al. 2024

Journal of Industrial Safety

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Impact of occupational risk prevention measures during process disturbances in TBM tunnelling

Cited by 3 publications

References 11 publications

Research on Construction Workers’ Safety Risk Sharing in Tunneling Projects Based on a Two-Mode Network: A Case Study of the Shangwu Tunnel

Research on Construction Workers’ Safety Risk Sharing in Tunneling Projects Based on a Two-Mode Network: A Case Study of the Shangwu Tunnel

SSFLNet: A Novel Fault Diagnosis Method for Double Shield TBM Tool System

Assessment of the benefits of cooling vests on working conditions of mine operators in hard climatic conditions: A case study

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