An Open-Source Algorithm for Correcting Stress Wave Dispersion in Split-Hopkinson Pressure Bar Experiments

Stress wave dispersion can result in the loss or distortion of critical high-frequency data during high-strain-rate material tests or blast loading experiments. The purpose of this work is to demonstrate the benefits of correcting stress wave dispersion in split-Hopkinson pressure bar experiments un...

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Main Authors: Arthur Van Lerberghe, Kin Shing O. Li, Andrew D. Barr, Sam D. Clarke
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
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Online Access:https://www.mdpi.com/1424-8220/25/1/281
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author Arthur Van Lerberghe
Kin Shing O. Li
Andrew D. Barr
Sam D. Clarke
author_facet Arthur Van Lerberghe
Kin Shing O. Li
Andrew D. Barr
Sam D. Clarke
author_sort Arthur Van Lerberghe
collection DOAJ
description Stress wave dispersion can result in the loss or distortion of critical high-frequency data during high-strain-rate material tests or blast loading experiments. The purpose of this work is to demonstrate the benefits of correcting stress wave dispersion in split-Hopkinson pressure bar experiments under various testing situations. To do this, an innovative computational algorithm, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="monospace">SHPB</mi><mtext>_</mtext><mi mathvariant="monospace">Processing</mi><mo>.</mo><mi mathvariant="monospace">py</mi></mrow></semantics></math></inline-formula>, is created. Following the operational run through of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="monospace">SHPB</mi><mtext>_</mtext><mi mathvariant="monospace">Processing</mi><mo>.</mo><mi mathvariant="monospace">py</mi></mrow></semantics></math></inline-formula>’s capabilities, it is used to process test data acquired from split-Hopkinson pressure bar tests on aluminium, sand and kaolin clay samples, under various testing conditions. When comparing dispersion corrected and simple time shifting data obtained from SHPB experiments, accounting for dispersion removes spurious oscillations and improves the inferred measurement at the front of the specimen. The precision of the stress and strain results gathered from its application emphasises its importance through the striking contrast between its application and omission. This has a significant impact on the validity, accuracy and quality of the results. As a result, in the future, this tool can be utilised for any strain rate testing situation with cylindrical bars that necessitates dispersion correction, confinement, or stress equilibrium analysis.
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spelling doaj-art-19fff115791a4663aa508267f8efffe82025-01-10T13:21:27ZengMDPI AGSensors1424-82202025-01-0125128110.3390/s25010281An Open-Source Algorithm for Correcting Stress Wave Dispersion in Split-Hopkinson Pressure Bar ExperimentsArthur Van Lerberghe0Kin Shing O. Li1Andrew D. Barr2Sam D. Clarke3School of Mechanical, Aerospace & Civil Engineering, University of Sheffield, Sheffield S1 3JD, UKSchool of Mechanical, Aerospace & Civil Engineering, University of Sheffield, Sheffield S1 3JD, UKSchool of Mechanical, Aerospace & Civil Engineering, University of Sheffield, Sheffield S1 3JD, UKSchool of Mechanical, Aerospace & Civil Engineering, University of Sheffield, Sheffield S1 3JD, UKStress wave dispersion can result in the loss or distortion of critical high-frequency data during high-strain-rate material tests or blast loading experiments. The purpose of this work is to demonstrate the benefits of correcting stress wave dispersion in split-Hopkinson pressure bar experiments under various testing situations. To do this, an innovative computational algorithm, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="monospace">SHPB</mi><mtext>_</mtext><mi mathvariant="monospace">Processing</mi><mo>.</mo><mi mathvariant="monospace">py</mi></mrow></semantics></math></inline-formula>, is created. Following the operational run through of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="monospace">SHPB</mi><mtext>_</mtext><mi mathvariant="monospace">Processing</mi><mo>.</mo><mi mathvariant="monospace">py</mi></mrow></semantics></math></inline-formula>’s capabilities, it is used to process test data acquired from split-Hopkinson pressure bar tests on aluminium, sand and kaolin clay samples, under various testing conditions. When comparing dispersion corrected and simple time shifting data obtained from SHPB experiments, accounting for dispersion removes spurious oscillations and improves the inferred measurement at the front of the specimen. The precision of the stress and strain results gathered from its application emphasises its importance through the striking contrast between its application and omission. This has a significant impact on the validity, accuracy and quality of the results. As a result, in the future, this tool can be utilised for any strain rate testing situation with cylindrical bars that necessitates dispersion correction, confinement, or stress equilibrium analysis.https://www.mdpi.com/1424-8220/25/1/281signal processingdispersion correctionhigh-strain-rate testingstress wavessplit-Hopkinson pressure barmaterial applications
spellingShingle Arthur Van Lerberghe
Kin Shing O. Li
Andrew D. Barr
Sam D. Clarke
An Open-Source Algorithm for Correcting Stress Wave Dispersion in Split-Hopkinson Pressure Bar Experiments
Sensors
signal processing
dispersion correction
high-strain-rate testing
stress waves
split-Hopkinson pressure bar
material applications
title An Open-Source Algorithm for Correcting Stress Wave Dispersion in Split-Hopkinson Pressure Bar Experiments
title_full An Open-Source Algorithm for Correcting Stress Wave Dispersion in Split-Hopkinson Pressure Bar Experiments
title_fullStr An Open-Source Algorithm for Correcting Stress Wave Dispersion in Split-Hopkinson Pressure Bar Experiments
title_full_unstemmed An Open-Source Algorithm for Correcting Stress Wave Dispersion in Split-Hopkinson Pressure Bar Experiments
title_short An Open-Source Algorithm for Correcting Stress Wave Dispersion in Split-Hopkinson Pressure Bar Experiments
title_sort open source algorithm for correcting stress wave dispersion in split hopkinson pressure bar experiments
topic signal processing
dispersion correction
high-strain-rate testing
stress waves
split-Hopkinson pressure bar
material applications
url https://www.mdpi.com/1424-8220/25/1/281
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