Dynamic Risk Assessment Method of Tunnel
Collapse Based on Attribute Interval Assessment
Model and Application

Wang, Sheng; Li, Liping; Cheng, Shuai; Hu, Huijiang; Hao, Jie; Gao, Shangce

doi:10.15244/pjoes/116072

Cited by 9 publications

(10 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mathematical Problems in Engineering From [9,10], when a j0 < a j1 < • • • a jk • • • < a jK , the single-index attribute measure function μ ijk (t) can be expressed as follows:…”

Section: Analysis Of the Single-index Attribute Measurementmentioning

confidence: 99%

“…Analysis. (1) e evaluation index value is an interval-type index: from [9], let S ijk (t) be the interval metric function of the single-index attribute, and let t + j and t − j be the upper and lower limits of the evaluation index, respectively. When α j0 > α j1 > • • • α jk • • • > α jK , the interval metric function S ijk (t) of the single-index attribute can be expressed as follows:…”

Section: Multi-index Comprehensive Attribute Measurementmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic Evaluation Method of the EW-AHP Attribute Identification Model for the Tunnel Gushing Water Disaster under Interval Conditions and Applications

Chen

Huang

et al. 2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

The gushing water disaster in tunnels is a kind of harmful and risky engineering disaster. It has become a key problem to evaluate the risk of tunnel gushing water accurately and objectively. A case study of a typical highway tunnel is performed for theory and practice analysis. For this reason, the risk identification is carried out on the assessed objects, and 10 evaluation indexes are determined. In turn, the risk evaluation index system and classification standard are established. Furthermore, the entropy weight method and the analytic hierarchy process are combined to assign the weight to each evaluation index. Therefore, a dynamic risk assessment system, including the pre-evaluation model and the postevaluation model, is constructed with the attribute identification model. As a result, the tunnel section with a high risk of water inrush is accurately assessed, which is consistent with the construction situation on site. Moreover, it is verified that the assessment results are reliable, which can provide a reference for the similar projects.

show abstract

Section: Analysis Of the Single-index Attribute Measurementmentioning

confidence: 99%

Section: Multi-index Comprehensive Attribute Measurementmentioning

confidence: 99%

Dynamic Evaluation Method of the EW-AHP Attribute Identification Model for the Tunnel Gushing Water Disaster under Interval Conditions and Applications

Chen

Huang

et al. 2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…Setting the value of a single index I i as t i , and establish the attribute measure function to represent the change of attribute measure μ ijk when the value of I i is changed. The grading criteria of the evaluation index for the dynamic assessment of the small spacing tunnel collapse are shown in Table 1, and some data in the table are processed accordingly as shown below combined with the reference (Wang et al 2020b): In the Eq. ( 1), k satisfies k = 1, 2,…, K; j satisfies j = 1, 2,…,m; In the Eq.…”

Section: Single-index Attribute Measurement Analysismentioning

confidence: 99%

“…Combined with the reference (Zhou et al 2013;Wen et al 2011;Wang et al 2020b), when a j0 < a j1 < …a jk … < a jK , the single-index attribute measure function μ ijk (t) can be expressed as follows:…”

Section: Single-index Attribute Measurement Analysismentioning

confidence: 99%

“…The attribute measure value of the single index I i belonging to the risk level R k (k = 1, 2, …, K) is solved by using the singleindex attribute interval measure function S ijk (t), and let t j + and t j − be the upper and lower limits of the evaluation respectively. Combined with the reference (Wang et al 2020b), When a j0 < a j1 < …a jk … < a jK , the interval metric function S ijk (t) of the single-index attribute can be expressed as follows:…”

mentioning

confidence: 99%

See 1 more Smart Citation

A dynamic assessment method on collapse risk of small spacing tunnels based on attribute interval recognition model

Chen

Meng

et al. 2021

Arab J Geosci

View full text Add to dashboard Cite

Due to the small thickness of the middle rock wall, the complex surrounding rock stress, and the great influence of construction, the large deformation and even the collapse of the vault are easy to occur in the small spacing tunnel. In order to more accurately assess the risk caused by tunnel collapse, combining with the case of a small spacing tunnel in the Puyan Highway in Fujian province, the evaluation index system and classification standard of tunnel collapse risk assessment were established based on the engineering topographic and geological conditions of highway tunnels. Moreover, the combined weights were used to calculate the weights of each evaluation index, and then the attribute interval recognition model was used to construct the dynamic risk assessment method of small spacing tunnel. Finally, the dynamic risk assessment method was used to evaluate the two dangerous tunnel sections in the tunnel section of the case. According to the evaluation results, the tunnel section X 1 and X 2 all have a high risk of tunnel collapse, which is consistent with the construction situation on site. It was verified that the evaluation results were reliable, which could be used for reference for similar projects.

show abstract

Risk assessment of loess tunnel collapse during construction based on an attribute recognition model

Cai

Li³

et al. 2021

Bull Eng Geol Environ

View full text Add to dashboard Cite

Dynamic Risk Assessment Method of Tunnel Collapse Based on Attribute Interval Assessment Model and Application

Cited by 9 publications

References 15 publications

Dynamic Evaluation Method of the EW-AHP Attribute Identification Model for the Tunnel Gushing Water Disaster under Interval Conditions and Applications

Dynamic Evaluation Method of the EW-AHP Attribute Identification Model for the Tunnel Gushing Water Disaster under Interval Conditions and Applications

A dynamic assessment method on collapse risk of small spacing tunnels based on attribute interval recognition model

Risk assessment of loess tunnel collapse during construction based on an attribute recognition model

Contact Info

Product

Resources

About