Journal Published Online: 11 June 2020
Volume 49, Issue 1

Detection of Concrete Structural Defects Using Impact Echo Based on Deep Networks

CODEN: JTEVAB

Abstract

Deep learning is widely used in image processing, which significantly improves the performance of image classification detection. Based on the current status of concrete structure defect detection technology, this experimental study on the detection of concrete structure defects using impact echo was conducted. Focusing on the unsteady features of the impact echo signal, we adopted wavelet transforms at different scales to extract the wavelet spectrum. At the same time, the convolution and subsample operation were combined to establish the recognition system of concrete structure defect detection based on the deep learning network. The research results show that this system can accurately recognize defects in the concrete structure and has high detection accuracy in the concrete structure assessment process.

Author Information

Xu, Juncai
Department of Civil Engineering, Case Western Reserve University, Cleveland, OH, USA
Yu, Xiong
Department of Civil Engineering, Case Western Reserve University, Cleveland, OH, USA
Pages: 12
Price: $25.00
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Details
Stock #: JTE20190801
ISSN: 0090-3973
DOI: 10.1520/JTE20190801