An Inversion Algorithm for the Dynamic Modulus of Concrete Pavement Structures Based on a Convolutional Neural Network

Based on the spectral element method (SEM) and a convolutional neural network (CNN), an inversion algorithm for the dynamic modulus of concrete pavement structures is proposed in this paper. In order to evaluate the service performance of pavement structures more systematically and accurately via th...

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Vydané v:	Applied sciences Ročník 13; číslo 2; s. 1192
Hlavní autori:	Chen, Gongfa, Chen, Xuedi, Yang, Linqing, Han, Zejun, Bassir, David
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.01.2023 Multidisciplinary digital publishing institute (MDPI)
Edícia:	Advances in Non-Destructive Testing Methods
Predmet:	Algorithms convolution neural network dynamic modulus Efficiency Environmental Sciences falling weight deflectometer inversion algorithm Load Mathematics Mechanical properties Neural networks Nondestructive testing Optimization Parameter identification pavement structure Propagation Software Statistics Workloads falling weight deflectometer inversion algorithm dynamic modulus pavement structure convolution neural network
ISSN:	2076-3417, 2076-3417
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