Hsu-Nielsen source acoustic emission data on a concrete block

Ramin Madarshahian,Vafa Soltangharaei,Rafal Anay,Juan M Caicedo,Paul Ziehl

doi:10.1016/j.dib.2019.103813

Ramin Madarshahian, Vafa Soltangharaei + Show 3 more

Open Access

https://doi.org/10.1016/j.dib.2019.103813

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Abstract

Data presented in this paper are utilized in the paper entitled “Acoustic Emission Bayesian Source Location: Onset Time Challenge” [1]. Hsu-Nielsen source which also known as pencil lead break (PLB), is an artificial method of generating acoustic emission (AE) signals, which can roughly represent an acoustic emission damage source. The data in this paper represent AE signals emitted by conducting PLBs on a concrete block. The test was repeated ten times for three different locations. The resulted stress waves were captured by piezoelectric acoustic emission sensors and acquired as the electrical signals. The signals were digitized according to a specified sampling rate and were presented as voltage amplitudes. Each PLB was registered by several sensors (data acquisition channels). The data are presented for each PLB and channel. Furthermore, the geometry and mixture design of the concrete block, sensor types, sensor locations, and PLB locations are reported. The data can be used for validation of source location algorithms, signal processing, and sensor calibration.

Highlights

Data presented in this paper are utilized in the paper entitled “Acoustic Emission Bayesian Source Location: Onset Time Challenge” [1]
Hsu-Nielsen source which known as pencil lead break (PLB), is an artificial method of generating acoustic emission (AE) signals, which can roughly represent an acoustic emission damage source
The data in this paper represent AE signals emitted by conducting PLBs on a concrete block

Summary

Data Article

Ramin Madarshahian a, *, Vafa Soltangharaei b, Rafal Anay b, Juan M. Paul Ziehl b a Department of Structural Engineering, University of California at San Diego, USA b Department of Civil and Environmental Engineering, University of South Carolina, Columbia, SC, USA article info. Article history: Received 14 January 2019 Received in revised form 25 February 2019 Accepted 27 February 2019 Available online 6 March 2019. Data presented in this paper are utilized in the paper entitled “Acoustic Emission Bayesian Source Location: Onset Time Challenge” [1]. The data in this paper represent AE signals emitted by conducting PLBs on a concrete block. Each PLB was registered by several sensors (data acquisition channels). The data are presented for each PLB and channel. The data can be used for validation of source location algorithms, signal processing, and sensor calibration.

Subject area More specific subject area

PLB location