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Title: Fractal signal processing method of acoustic emission monitoring for seismic damage of concrete columns

Authors: Yong Huang; Changsong Shao; Xin Yan

Addresses: Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, School of Civil Engineering, Harbin Institute of Technology, Harbin, 150090, China; Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, 150090, China ' Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, School of Civil Engineering, Harbin Institute of Technology, Harbin, 150090, China; Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, 150090, China ' China Highway Hi-tech Traffic Inspection and Certification Co., Ltd., Beijing 100088, China

Abstract: In this paper, a new fractal theory-based acoustic emission (AE) signal processing method is proposed. It is found that both the curve lengths and fractal dimensions (FDs) of AE signal are related with damage evolution. The AE tests of pseudo-static experiment of a reinforced concrete column (RCC), a reinforced nano-concrete column and a concrete-filled glass fibre reinforced polymer (GFRP) tube are then performed for validation. For each specimen, several piezoelectric ceramic (PZT) patches and one AE sensor are bonded at different positions of the specimen surface to monitor the AE signals. The results show that the fractal theory-based damage method can assess damage evolution effectively. In addition, the damage can be localised approximately by the diversity of damage assessing index values from various PZT detectors.

Keywords: fractal dimension; acoustic emission; pseudo-static experiment; damage assessment; damage localisation.

DOI: 10.1504/IJLCPE.2019.099894

International Journal of Lifecycle Performance Engineering, 2019 Vol.3 No.1, pp.59 - 76

Received: 02 Jul 2018
Accepted: 08 Oct 2018

Published online: 21 May 2019 *

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