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Updated: Jan 27, 2026

Blast Quantification Using Hopkinson Pressure Bars
Published on: July 5, 2016
Electromagnetic Interference in Measurements of Radial Stress During Split Hopkinson Pressure Bar Experiments
A D Barr1, S D Clarke1, A Tyas1,2
11Department of Civil and Structural Engineering, The University of Sheffield, Mappin Street, Sheffield, S1 3JD UK.
Electromagnetic interference in soil Split Hopkinson pressure bar tests is caused by magnetised pressure bars. This study identifies the source and offers solutions for accurate radial stress measurements in soil mechanics.
Area of Science:
- Geotechnical Engineering
- Materials Science
- Experimental Mechanics
Background:
- Split Hopkinson pressure bar (SHPB) tests are crucial for soil characterization under dynamic loading.
- Plane strain conditions are typically achieved using rigid confining rings, enabling radial stress inference.
- Previous SHPB experiments have reported anomalous electromagnetic interference (EMI) obscuring radial stress data.
Purpose of the Study:
- To identify the source of electromagnetic interference in SHPB tests on soils.
- To develop methods for mitigating EMI for reliable radial stress measurements.
- To improve constitutive modeling of soils under blast and impact conditions.
Main Methods:
- Utilized an induction coil to detect the source of anomalous signals.
- Conducted comparative experiments using sand and rubber specimens.
- Analyzed signals to differentiate between interference from equipment and specimen deformation.
Main Results:
- Identified magnetised pressure bars (martensitic stainless steel, 440C) as the source of EMI.
- Demonstrated that induced currents in gauge lead wires are the primary cause of interference.
- Confirmed that deforming soil specimens contribute minimally to the observed EMI.
Conclusions:
- The movement of magnetised pressure bars induces currents, causing EMI in radial stress measurements.
- Recommendations are provided to reduce EMI, enabling more accurate soil characterization.
- Accurate radial stress data is essential for developing robust soil constitutive models for dynamic events.
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