A maximum entropy method using fractional moments and deep learning for geotechnical reliability ana...
A maximum entropy method using fractional moments and deep learning for geotechnical reliability analysis
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Language
English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Contents
The spatial variability of the properties of natural soils is one of the major sources of uncertainties that can influence the performance of geotechnical structures. The direct Monte-Carlo simulation (MCS) method, although robust and versatile, may incur prohibitively high computational burdens, especially for cases involving low failure probabili...
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Full title
A maximum entropy method using fractional moments and deep learning for geotechnical reliability analysis
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TN_cdi_proquest_journals_2656444585
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2656444585
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ISSN
1861-1125
E-ISSN
1861-1133
DOI
10.1007/s11440-021-01326-2
