Probabilistic models for tunnel construction risk assessment

Špačková, Olga; Novotná, Eva; Šejnoha, Michal; Šejnoha, Jiřı́

doi:10.1016/j.advengsoft.2013.04.002

Cited by 39 publications

(22 citation statements)

References 13 publications

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“…If T H > u(T H ), measures should be taken to reduce the hazard (R 1 ). Different participants are involved in the construction process of tunnel and underground engineering, such as investors, contractors, supervisors, and in some cases, government-related entities [1,71]. Therefore, when considering measures to reduce the hazard, because the interests of different participants involved are not exactly the same, the problems considered are not exactly the same.…”

Section: Model Uncertainty Analysismentioning

confidence: 99%

“…Determining the utility function is a challenging task. This has not been sufficiently studied in the civil engineering field as yet [1,63]. A utility function can be determined by direct questioning, contrast questioning, the probability equivalent method, or analytic function approximation [64].…”

Section: Model Uncertainty Analysismentioning

confidence: 99%

“…Particularly, in examining the geological conditions of complex areas such as karst development areas, various safety accidents such as collapses [1] and water inrushes [2] can easily be triggered, which will affect all parties involved as well as those not directly involved in the project [3]. Risk assessment has been increasingly valued and regarded as a guarantee for the safe and smooth construction of large engineering projects [4,5].…”

Section: Introductionmentioning

confidence: 99%

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Risk Assessment and Decision-Making under Uncertainty in Tunnel and Underground Engineering

Xia

Xiong

Dong

et al. 2017

Entropy

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Abstract:The impact of uncertainty on risk assessment and decision-making is increasingly being prioritized, especially for large geotechnical projects such as tunnels, where uncertainty is often the main source of risk. Epistemic uncertainty, which can be reduced, is the focus of attention. In this study, the existing entropy-risk decision model is first discussed and analyzed, and its deficiencies are improved upon and overcome. Then, this study addresses the fact that existing studies only consider parameter uncertainty and ignore the influence of the model uncertainty. Here, focus is on the issue of model uncertainty and differences in risk consciousness with different decision-makers. The utility theory is introduced in the model. Finally, a risk decision model is proposed based on the sensitivity analysis and the tolerance cost, which can improve decision-making efficiency. This research can provide guidance or reference for the evaluation and decision-making of complex systems engineering problems, and indicate a direction for further research of risk assessment and decision-making issues.

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Section: Model Uncertainty Analysismentioning

confidence: 99%

Section: Model Uncertainty Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Risk Assessment and Decision-Making under Uncertainty in Tunnel and Underground Engineering

Xia

Xiong

Dong

et al. 2017

Entropy

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“…This way the measurement error and the modeling uncertainty are jointly covered by a simple stochastic relation. The theoretical mean values v j are a direct outcome of the deterministic model g model as prescribed by (5). These two relations form the model likelihood function.…”

Section: Stochastic Model Of Measured Datamentioning

confidence: 99%

Hierarchical stochastic model of terrain subsidence during tunnel excavation

Janda

Šejnoha

2017

IOP Conf. Ser.: Mater. Sci. Eng.

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“…• Even the use of probabilistic analysis for the determination of the risk (Špacková et al, 2013;Wang et al, 2014) does not in this case provide results with the desired accuracy • The preliminary investigations preceding the tunnel excavation phase, covering literature survey, photogrammetric studies, geological and geophysical surveys and surface drilling and core analysis, make usually possible to exclude the presence of rocks potentially containing asbestos minerals, but often a no sure decision situations classification still remains Summarizing, the preliminary Risk Assessment can suggest the four classes of criticality summarized in Table 2.…”

Section: Introductionmentioning

confidence: 99%

Occupational Safety and Health in Tunnelling in Rocks Formations Potentially Containing Asbestos: Good Practices for Risk Assessment and Management

Labagnara¹,

Patrucco²,

Sorlini³

2016

American Journal of Applied Sciences

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Abstract:In tunnelling operations, Occupational Safety and Health (OS&H) and Environmental Protection of the areas close to the tunnel portal become even more critical in case of rock formations potentially containing asbestos, quartz, radioactive elements, etc. In order to limit the workers' exposure and the environmental impact becomes in these cases of paramount importance to preliminarily analyze and quantify the possible presence of the pollutants in the rock and, if necessary, to implement suitable measures to avoid/minimize their emission from the winning and mucking operations. However, in case of asbestos minerals, to obtain reliable results from the preliminary analysis is a challenging task, due to the complex patterns of occurrence of asbestos within the host rock. Consequently, the definition of special monitoring, alarm and control systems is essential during the tunnel excavation. The paper summarizes the results of a thorough study aimed at defining the most suitable monitoring techniques in uncertain situations and the residual criticalities, essentially due to the delay between the beginning of the pollutant release at the tunnel face and its detection. The final part of the work deals with the possible innovative prevention solutions suitable to minimize the previously mentioned delay and ensure the safety of the workers along the time necessary to stop the activities and evacuate the tunnel, on hold of the activation of a special "asbestos" organization.

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Probabilistic models for tunnel construction risk assessment

Cited by 39 publications

References 13 publications

Risk Assessment and Decision-Making under Uncertainty in Tunnel and Underground Engineering

Risk Assessment and Decision-Making under Uncertainty in Tunnel and Underground Engineering

Hierarchical stochastic model of terrain subsidence during tunnel excavation

Occupational Safety and Health in Tunnelling in Rocks Formations Potentially Containing Asbestos: Good Practices for Risk Assessment and Management

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