Hsu-Nielsen source acoustic emission data on a concrete block

Area of Science:

• Materials Science
• Structural Engineering
• Signal Processing

Background:

• Acoustic Emission (AE) is a crucial technique for non-destructive testing.
• The Hsu-Nielsen source, or pencil lead break (PLB), simulates AE damage sources.
• Accurate source location algorithms are vital for structural health monitoring.

Purpose of the Study:

• To present a dataset of AE signals generated by controlled PLBs on a concrete block.
• To provide data for the validation of AE source location algorithms.
• To facilitate research in AE signal processing and sensor calibration.

Main Methods:

• Controlled pencil lead breaks (PLBs) were performed at three distinct locations on a concrete block.
• Acoustic emission signals were captured using piezoelectric sensors.
• Data acquisition involved digitizing stress wave signals at a specified sampling rate.

Main Results:

• The dataset includes AE signals from ten repetitions of PLBs at each of the three locations.
• Data are organized per PLB and data acquisition channel.
• Detailed information on concrete block properties, sensor, and PLB locations is provided.

Conclusions:

• The presented data serve as a valuable resource for validating AE source location algorithms.
• The dataset supports advancements in AE signal processing techniques.
• This data aids in the calibration and performance evaluation of AE sensors.