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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2025-01-01
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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 |
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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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