Deep learning-based axial capacity prediction for cold-formed steel channel sections using Deep Belief Network
Sign Up to like & getrecommendations! Published in 2021 at "Structures"
DOI: 10.1016/j.istruc.2021.05.096
Abstract: Abstract In this study, a deep learning-based axial capacity prediction for cold-formed steel channel sections is developed using Deep Belief Network (DBN). A total of 10,500 data points for training the DBN are generated from… read more here.
Keywords: based axial; learning based; capacity prediction; axial capacity ... See more keywords
Negative bending capacity prediction of composite girders based on continuous strength method
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DOI: 10.1016/j.tws.2018.04.005
Abstract: Abstract This paper investigates the ultimate negative bending capacity of composite plate girders, whose ultimate hogging flexural state is governed by the local buckling of the bottom flange of steel girders. The Continuous Strength Method,… read more here.
Keywords: bending capacity; negative bending; capacity prediction; capacity ... See more keywords
Heat Capacity Prediction of Ionic Liquids Based on Quantum Chemistry Descriptors
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DOI: 10.1021/acs.iecr.8b03668
Abstract: Heat capacity is an important and fundamental physicochemical property of ionic liquids (ILs). Here, a new class of quantum chemical descriptor, namely electrostatic potential surface area (SEP) de... read more here.
Keywords: chemistry; capacity prediction; prediction ionic; ionic liquids ... See more keywords