Abstract
Risk assessment has always been an important part of safety risk research in tunnel and underground engineering. Owing to the characteristics of tunnel construction, to achieve an expected risk control effect, it is necessary to carry out accurate risk assessment research according to the risk assessment concept based on the entire tunnel construction process. At present, because of the frequent occurrences of safety accidents, a variety of risk assessment models have been proposed for different tunnel projects such as subways and railway tunnels, which can be roughly classified into two types: probability-based and fuzzy set theories. However, the existing models may be more suitable for the construction stage, and the design stage lacks a reliable and practical fuzzy risk assessment method. Therefore, based on fuzzy set theory and similarity measure theory, a risk assessment model is proposed to adapt to the characteristics that the risk information is difficult to quantify the fuzziness in the design phase. Firstly, new ideas of fuzzy risk analysis are proposed to overcome deficiencies in existing methods; secondly, a new similarity measure is constructed; then fusing multi-source fuzzy information based on evidence theory, the relationship between similarity measure and mass function is established. Finally, the new method is applied to the Yuelongmen tunnel. Results show that the concept of risk control and the risk assessment model are feasible.
Highlights
Owing to the characteristics and the potential application value of tunnel projects, tunnels are often required in the construction of infrastructure
Different risk assessment models are regularly proposed, and fuzzy risk analysis is attracting more attention, but we find that the current research into risk in tunnel engineering still has the following deficiencies
Various risk analysis methods based on fuzzy set theory have been proposed. Different methods have their characteristics and limitations, e.g. the fuzzy risk assessment function analysis model must construct a specific function; mixed risk assessment involves the integration of different expert opinions; the risk assessment levels have been fuzzed in attribute measure-based risk analysis models, but the risk index is regarded as a precise value; the study of similarity measure-based fuzzy risk analysis has aroused wide interest in different fields and has evolved continuously [55]
Summary
Owing to the characteristics and the potential application value of tunnel projects, tunnels are often required in the construction of infrastructure. With the increasing application of risk assessment models in tunnel engineering, some scholars gradually realized that insufficient information is a major problem facing risk analysts working in geotechnical engineering contexts, and the usual methods cannot support precise probabilities [33]: for example, Marques et al [34] proposed that the conventional probabilistic approach to uncertainty can be extended to include imprecise information in the form of intervals. The existence of hybrid uncertain information increases the complexity of the risk assessment model, and so Peng et al [53] proposed a hybrid first order reliability analysis method to improve reliability analysis of the results From this summary, we can see that risk assessment has aroused widespread interest among geotechnical engineers. Different risk assessment models are regularly proposed, and fuzzy risk analysis is attracting more attention, but we find that the current research into risk in tunnel engineering still has the following deficiencies
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