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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Bibliographic Details
Published in:	Applied sciences Vol. 13; no. 2; p. 1192
Main Authors:	Chen, Gongfa, Chen, Xuedi, Yang, Linqing, Han, Zejun, Bassir, David
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.01.2023 Multidisciplinary digital publishing institute (MDPI)
Series:	Advances in Non-Destructive Testing Methods
Subjects:	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
Online Access:	Get full text
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