Study on Attenuation Properties of Surface Wave of AE Simulation Source Based on OPCM Sensor Element

Joint Authors

Wang, Ziping
Xue, Xian
Jiang, Zhengxuan
Li, Xingjia
Reddy, Karthik

Source

Journal of Sensors

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-6, 6 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-04-12

Country of Publication

Egypt

No. of Pages

6

Main Subjects

Civil Engineering

Abstract EN

It is of great significance to grasp the ultrasonic attenuation characteristics of materials for the nondestructive testing of materials.

The dynamic properties of a piezoelectric composite material (OPCM) with self-developed transverse anisotropy have been analyzed using the experiment in this work.

The OPCM sensor is attached to the surface of the iron plate and concrete structures to sense the surface waves generated by acoustic emission (AE).

The experiment results show that OPCM sensor elements have unique advantages compared to piezoelectric ceramic materials (PZT).

Further, by comparing the signals of isotropic and anisotropic materials, the attenuation characteristics of surface waves propagating in different materials are studied, and a new method for measuring the attenuation coefficient of surface waves is demonstrated.

American Psychological Association (APA)

Wang, Ziping& Xue, Xian& Li, Xingjia& Jiang, Zhengxuan& Reddy, Karthik. 2018. Study on Attenuation Properties of Surface Wave of AE Simulation Source Based on OPCM Sensor Element. Journal of Sensors،Vol. 2018, no. 2018, pp.1-6.
https://search.emarefa.net/detail/BIM-1201895

Modern Language Association (MLA)

Wang, Ziping…[et al.]. Study on Attenuation Properties of Surface Wave of AE Simulation Source Based on OPCM Sensor Element. Journal of Sensors No. 2018 (2018), pp.1-6.
https://search.emarefa.net/detail/BIM-1201895

American Medical Association (AMA)

Wang, Ziping& Xue, Xian& Li, Xingjia& Jiang, Zhengxuan& Reddy, Karthik. Study on Attenuation Properties of Surface Wave of AE Simulation Source Based on OPCM Sensor Element. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-6.
https://search.emarefa.net/detail/BIM-1201895

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1201895