Spatiotemporal deep learning approach on estimation of diaphragm wall deformation induced by excavat...
Spatiotemporal deep learning approach on estimation of diaphragm wall deformation induced by excavation
About this item
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
This paper proposes a convolution neural network (CNN) based prediction method for concrete diaphragm wall (CDW) deflections. CNN algorithm is modified for processing the CDW deformation data collected from in-situ measurement in both time and space dimensions, and capable of making dynamic prediction based on the extracted spatiotemporal features...
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Full title
Spatiotemporal deep learning approach on estimation of diaphragm wall deformation induced by excavation
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Record Identifier
TN_cdi_proquest_journals_2594890597
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2594890597
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ISSN
1861-1125
E-ISSN
1861-1133
DOI
10.1007/s11440-021-01264-z
