Wave based damage detection in solid structures using spatially asymmetric encoder-decoder network.

ABSTRACT: The identification of structural damages takes a more and more important role within the modern economy, where often the monitoring of an infrastructure is the last approach to keep it under public use. Conventional monitoring methods require specialized engineers and are mainly time-consuming. This research paper considers the ability of neural networks to recognize the initial or alteration of structural properties based on the training processes. The presented model, a spatially asymmetric encoder-decoder network, is based on 1D-Convolutional Neural Networks (CNN) for wave field pattern recognition, or more specifically the wave field change recognition. The proposed model is used to identify the change within propagating wave fields after a crack initiation within the structure. The pa

SUBMITTER: Wuttke F 

PROVIDER: S-EPMC8547223 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature