Tianyu Wang1, Wael A. Altabey1,2, Mohammad Noori3,*, Ramin Ghiasi1
Structural Durability & Health Monitoring, Vol.14, No.4, pp. 315-338, 2020, DOI:10.32604/sdhm.2020.011083
Abstract Beam-like structures are a class of common but important structures in
engineering. Over the past few centuries, extensive research has been carried out
to obtain the static and dynamic response of beam-like structures. Although building the finite element model to predict the response of these structures has proven
to be effective, it is not always suitable in all the application cases because of high
computational time or lack of accuracy. This paper proposes a novel approach to
predict the deflection response of beam-like structures based on a deep neural network and the governing differential equation of Euler-Bernoulli beam. The
Prandtl-Ishlinskii… More >
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