Safety Evaluation of Insufficient Lining Thickness Based on Fuzzy Comprehensive Evaluation in Tunnel
This paper presents a study on the safety evaluation of the lining structure with insufficient thickness using fuzzy comprehensive evaluation method in railway tunnels. Determining weight and membership degree are two critical points of this evaluation method. These two points are determined based o...
Published in: | International Journal of Sustainable Construction Engineering and Technology |
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2024
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2-s2.0-85217839735 Wang Y.; Mansor H.; Krishta David T. Safety Evaluation of Insufficient Lining Thickness Based on Fuzzy Comprehensive Evaluation in Tunnel 2024 International Journal of Sustainable Construction Engineering and Technology 15 3 10.30880/ijie.2024.15.03.024 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85217839735&doi=10.30880%2fijie.2024.15.03.024&partnerID=40&md5=302c11cc226dfcfbe85e263def8ca1aa This paper presents a study on the safety evaluation of the lining structure with insufficient thickness using fuzzy comprehensive evaluation method in railway tunnels. Determining weight and membership degree are two critical points of this evaluation method. These two points are determined based on field data analysis and numerical simulation. Most conventional determination methods are based on subjective judgment, while the method in this paper is based on engineering practice. Field data analysis revealed that the proportion of defects in the surrounding rocks of class Ⅳ and at the vault was the largest. Defect length between 3m and 4.5m and thickness ratio between 0.55 and 0.7 occupied the most significant proportion. Numerical simulation was also used to study the effect of the parameter changes on structural safety. It is known that the change of defect lengths has a not very obvious effect on the structural safety factor. In contrast, the changes in the other three parameters can significantly impact the lining. The factor set and comment set are determined according to the characteristic indicators from the collected field data. The membership degree and weight set are determined based on the on-site data and numerical investigation results. The fuzzy comprehensive evaluation model is established, and the structural safety evaluation work can be conducted. Then this model is validated through numerical simulation in the specific engineering case. © 2024, Penerbit UTHM. All rights reserved. Penerbit UTHM 21803242 English Article All Open Access; Gold Open Access |
author |
Wang Y.; Mansor H.; Krishta David T. |
spellingShingle |
Wang Y.; Mansor H.; Krishta David T. Safety Evaluation of Insufficient Lining Thickness Based on Fuzzy Comprehensive Evaluation in Tunnel |
author_facet |
Wang Y.; Mansor H.; Krishta David T. |
author_sort |
Wang Y.; Mansor H.; Krishta David T. |
title |
Safety Evaluation of Insufficient Lining Thickness Based on Fuzzy Comprehensive Evaluation in Tunnel |
title_short |
Safety Evaluation of Insufficient Lining Thickness Based on Fuzzy Comprehensive Evaluation in Tunnel |
title_full |
Safety Evaluation of Insufficient Lining Thickness Based on Fuzzy Comprehensive Evaluation in Tunnel |
title_fullStr |
Safety Evaluation of Insufficient Lining Thickness Based on Fuzzy Comprehensive Evaluation in Tunnel |
title_full_unstemmed |
Safety Evaluation of Insufficient Lining Thickness Based on Fuzzy Comprehensive Evaluation in Tunnel |
title_sort |
Safety Evaluation of Insufficient Lining Thickness Based on Fuzzy Comprehensive Evaluation in Tunnel |
publishDate |
2024 |
container_title |
International Journal of Sustainable Construction Engineering and Technology |
container_volume |
15 |
container_issue |
3 |
doi_str_mv |
10.30880/ijie.2024.15.03.024 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85217839735&doi=10.30880%2fijie.2024.15.03.024&partnerID=40&md5=302c11cc226dfcfbe85e263def8ca1aa |
description |
This paper presents a study on the safety evaluation of the lining structure with insufficient thickness using fuzzy comprehensive evaluation method in railway tunnels. Determining weight and membership degree are two critical points of this evaluation method. These two points are determined based on field data analysis and numerical simulation. Most conventional determination methods are based on subjective judgment, while the method in this paper is based on engineering practice. Field data analysis revealed that the proportion of defects in the surrounding rocks of class Ⅳ and at the vault was the largest. Defect length between 3m and 4.5m and thickness ratio between 0.55 and 0.7 occupied the most significant proportion. Numerical simulation was also used to study the effect of the parameter changes on structural safety. It is known that the change of defect lengths has a not very obvious effect on the structural safety factor. In contrast, the changes in the other three parameters can significantly impact the lining. The factor set and comment set are determined according to the characteristic indicators from the collected field data. The membership degree and weight set are determined based on the on-site data and numerical investigation results. The fuzzy comprehensive evaluation model is established, and the structural safety evaluation work can be conducted. Then this model is validated through numerical simulation in the specific engineering case. © 2024, Penerbit UTHM. All rights reserved. |
publisher |
Penerbit UTHM |
issn |
21803242 |
language |
English |
format |
Article |
accesstype |
All Open Access; Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1825722577359732736 |