A new quantitative method for risk assessment of water inrush in karst tunnels based on variable weight function and improved cloud model

Lin, Chensheng; Zhang, Meng; Zhou, Zongqing; Li, Liping; Shi, Shaoshuai; Chen, Yuxue; Dai, Wenjie

doi:10.1016/j.tust.2019.103136

Cited by 65 publications

(21 citation statements)

References 18 publications

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“…Thus, it is most likely to confirm that water inrush is the most common geohazards in karst tunnels. The same results were also recorded in the studies conducted by (Lin et al 2020, Yin et al 2015, respectively. The karst geology is formatted due to the long-term dissolution of groundwater.…”

Section: Geology Aspectsupporting

confidence: 84%

Geohazards, reflection and challenges in Mountain tunnel construction of China: a data collection from 2002 to 2018

Wang

Lai

Qiu

et al. 2020

Geomatics, Natural Hazards and Risk

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In face of the complicated and changing geological conditions, safety issue is always a primary concern during the construction phase of tunnel in the mountainous regions of China. This Express Letter reports data collection concerning the geo-hazardous events recorded in tunnel system in the period from 2002 to 2018. These accidents include collapse, water inrush, gas explosion, portal landslide, suffocation and avalanche. A total of 97 geohazard events resulted in 393 deaths, 467 injuries and 51 missing. Statistical results indicate that collapse is the primary geohazard in mountain tunnel construction. The data confirmed a high correlation between the number of casualties and geohazard accidents quantity. It is also observed that water inrush is more likely to happen in karst region, while the collapse is mainly recorded in loess and karst areas. During the period under the review, the data illustrates an overall decrease of casualties and geohazard events, but it still faces a grim situation regarding the geohazard prevention in mountain tunnels construction of China. Hence, countermeasures and future research attempts focusing on geohazards prevention and mitigation are recommended.

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Section: Geology Aspectsupporting

confidence: 84%

Geohazards, reflection and challenges in Mountain tunnel construction of China: a data collection from 2002 to 2018

Wang

Lai

Qiu

et al. 2020

Geomatics, Natural Hazards and Risk

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“…e calculation basis of (E x ), (E n ), and (H e ) is described in detail in [14]. e calculation formula is expressed as the value of k � 0.1 is chosen to maintain the stability of the evaluation [26][27][28][29]. According to equation ( 3), all the evaluation indicators in Table 1 can be converted into digital features for cloud model calculation, and the calculation results are shown in Table 2.…”

Section: Membership Degree Calculation Based On the Cloudmentioning

confidence: 99%

A Cloud Model-Based Risk Assessment Methodology for Tunneling-Induced Damage to Existing Tunnel

Song

Guo

et al. 2020

Advances in Civil Engineering

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This study presents a cloud model-based approach for risk assessment of existing tunnels in tunneling construction environments where the cloud model provides a basis for uncertainty transformation between its qualitative concepts and quantitative expressions. An evaluation index system is established for risk assessment of existing tunnels based on the tunnel-induced failure mechanism analysis. The assessment result is obtained through the correlation with the cloud model of each risk level. Risk assessment for existing Guangzhou-Shenzhen-Hong Kong Railway Tunnel in the tunneling environment of Shenzhen Metro Line 6 is shown in a case study. Comparisons between Fuzzy Analytic Hierarchy Process (FAHP) methods are further discussed according to results. The proposed evaluation method is verified to be more competitive as the fuzziness and randomness of uncertainties in the risk assessment system can be considered comprehensively. This method can serve as a decision-making tool for other similar project risk assessment methods to increase the likelihood of a successful project in an uncertain environment.

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“…For example, Lin applied the CM with a variable weight function to construct a calculation model to assess the construction risk of karst tunnels. They determined the CM characteristics based on attribute mathematical theory and established the point membership function by the normal cloud generator to calculate the variable weight vector and the membership degree matrix 25 . Wu proposed an analytic network process CM (ANP‐CM) for renewable energy investment risk assessment for nations along China's Belt and Road Initiative.…”

Section: Introductionmentioning

confidence: 99%

A combined fuzzy DEMATEL and cloud model approach for risk assessment in process industries to improve system reliability

2021

Quality & Reliability Eng

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Decision‐making trial and evaluation laboratory (DEMATEL) analysis is an effective and comprehensive method for identifying accident factors and converting the relationships among them into a visual structural model. Traditionally, the mean value method is adopted to summarize the initial direct‐relation matrix, but it ignores the errors caused by differences in expert knowledge. In addition, a single qualitative risk assessment may not be sufficiently comprehensive and persuasive. The qualitative risk assessment results may not play a complete role in helping industrial plants carry out safety management. Therefore, this study proposes a quantitative risk assessment model based on the cloud model (CM) called the fuzzy DEMATEL‐CM. An assessment index model is established by identifying the hazards associated with a converter steelmaking system. Subsequently, fuzzy DEMATEL analysis is applied to determine the relationships among the assessment indices and calculate their weights. Then, the CM is utilized to calculate the risk levels of the assessment indices and determine the comprehensive risk level. Finally, a case study is introduced to verify the practicability and validity of this model, and it is observed that the model has a certain superiority in solving uncertain problems. The quantitative risk assessment results are helpful for preventing accidents to improve the reliability of converter steelmaking plants.

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A new quantitative method for risk assessment of water inrush in karst tunnels based on variable weight function and improved cloud model

Cited by 65 publications

References 18 publications

Geohazards, reflection and challenges in Mountain tunnel construction of China: a data collection from 2002 to 2018

Geohazards, reflection and challenges in Mountain tunnel construction of China: a data collection from 2002 to 2018

A Cloud Model-Based Risk Assessment Methodology for Tunneling-Induced Damage to Existing Tunnel

A combined fuzzy DEMATEL and cloud model approach for risk assessment in process industries to improve system reliability

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