Health State Assessment of Road Tunnel Based on Improved Extension Cloud Model

A scientifically accurate assessment of tunnel health is the prerequisite for the safe maintenance and sustainability of the in-service road tunnel. The changing trend of tunnel health is not considered in existing research. Most evaluation indicators are static and the ambiguities or randomness at...

Full description

Saved in:
Bibliographic Details
Published in:Applied sciences 2023-07, Vol.13 (14), p.8554
Main Authors: Cui, Hongjun, Chen, Guang, Zhu, Minqing, Su, Yue, Liu, Jingxuan
Format: Article
Language:English
Subjects:
Analysis
cloud entropy optimization algorithm
combination weighting
Construction accidents & safety
Cracks
cubic b-spline
Decision making
Health
improved extension cloud model
Mathematical optimization
Methods
Road construction industry
road tunnel
Roads & highways
Tunnels
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A scientifically accurate assessment of tunnel health is the prerequisite for the safe maintenance and sustainability of the in-service road tunnel. The changing trend of tunnel health is not considered in existing research. Most evaluation indicators are static and the ambiguities or randomness at the boundary of the health level intervals is neglected in most evaluation methods. In this paper, the evaluation index system combined with dynamic, and static is set to solve these problems. The changing trend of the health state of tunnels is analyzed through the cubic b-spline function. The weights of evaluation indicators are calculated based on the AHP-improved entropy method. The health evaluation method is proposed based on combing the extension theory and the cloud model improved by the cloud entropy optimization algorithm. Finally, the evaluation results of the proposed method are compared with the detection data of the Beilongmen Tunnel of Zhangzhuo Expressway. The results demonstrate that 80% of the evaluation results in the sample tunnel data are consistent with the standard results, and the remaining 20% show a lower level of health than the standard results. This reflects the evaluation results are impacted by the trend of tunnel health status changes. The health state can be more accurately evaluated by dynamic indicators. The improved extension cloud model is feasible and applicable in the health assessment of tunnels. This work provides innovative ideas for the evaluation of the health state of tunnels and theoretical support for the formulation of reasonable maintenance measures.
ISSN:2076-3417
2076-3417
DOI:10.3390/app13148554