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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ju-bing Zhang Xiaopeng Li Zaigen Mu Meifeng Cai |
| Copyright Year | 2011 |
| Description | Author affiliation: Civil and Environmental Engineering School, University of Science and Technology Beijing, China (Ju-bing Zhang; Xiaopeng Li; Zaigen Mu; Meifeng Cai) |
| Abstract | In this study, the portal collapsing risk of highway tunnels is simulated as a grey system. Six influential factors are selected as clustering object, criteria for each factor are analyzed and preset for clustering parameter calculation. For case study, the portal collapsing risks of the Bailongshan mountain tunnel is evaluated by the proposed grey clustering method. The tunnel, which is located in the segment from Bijie city to Duge town (all in Guizhou province, China) of Hangzhou-Ruili expressway, is a rock tunnel of 4170m with a detached oblate-mouth cross-section. The results from the grey-clustering analysis are compared with the judgment of tunnel engineers, and have shown good agreement with each other. This indicates that the proposed grey clustering method in risk evaluation of tunnel portals is reasonable, it is useful to predict the single-hazard risk of in the preliminary design stage of highway tunnels. |
| Starting Page | 3098 |
| Ending Page | 3101 |
| File Size | 335439 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424494361 |
| e-ISBN | 9781424494392 |
| DOI | 10.1109/MACE.2011.5987645 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Road transportation Presses Collasping Clustering methods Highway tunnel Grey clustering Cities and towns Oil insulation Risk prediction Tunnel portal Expert systems Portals |
| Content Type | Text |
| Resource Type | Article |
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