A Multi-Source Data Fusion Method for Assessing the Tunnel Collapse Risk Based on the Improved Demps...
A Multi-Source Data Fusion Method for Assessing the Tunnel Collapse Risk Based on the Improved Dempster–Shafer Theory
About this item
Full title
Author / Creator
Wu, Bo , Zeng, Jiajia , Zhu, Ruonan , Zheng, Weiqiang and Liu, Cong
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Collapse is the main engineering disaster in tunnel construction when using the drilling and blasting method, and risk assessment is one of the important means to significantly reduce engineering disasters. Aiming at the problems of random decision-making and misjudgment of single indices in traditional risk assessment, a multi-source data fusion m...
Alternative Titles
Full title
A Multi-Source Data Fusion Method for Assessing the Tunnel Collapse Risk Based on the Improved Dempster–Shafer Theory
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_aa2a2a6fad76406ab3d2f4b2a3bb2e56
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_aa2a2a6fad76406ab3d2f4b2a3bb2e56
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app13095606
