A New Data Processing Approach for the SHPB Test Based on PSO-TWER
Source abstract
Abstract
This study addresses the challenge of accurately determining the arrival time of stress wave signals in SHPB test data processing. To eliminate human error, we introduce the time-window energy ratio method and evaluate six filters for noise reduction using box fractal dimensions. A mathematical model is established to optimize the stress equilibrium and impact process, which is solved using particle swarm optimization, resulting in the PSO-TWER method. We explore the impact of inertia weight and calculation methods on optimization outcomes, defining a stress equilibrium evaluation index. The results indicate that time-window length significantly affects arrival-time outputs, and the dynamic inertia weight factor enhances optimization convergence. The method accurately determines arrival times and effectively screens test data, providing a robust approach for SHPB test data processing.
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Research context
OpenAlex topics: Fluid Dynamics Simulations and Interactions · Superconducting Materials and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Materials Science and Engineering, Shenyang University of Technology, Shenyang 110870, China
College of Mining Engineering, University of Science and Technology, Anshan 114051, China
Engineering Research Center of Green Mining of Metal Mineral Resources Liaoning Province, Anshan 114051, China
Funding
National Natural Science Foundation of China · Educational Commission of Liaoning Province of China · Liao Ning Revitalization Talents Program · Foundation for University Key Teacher by University of Science and Technology Liaoning
References (29)
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