PREPROCESSING OF HOPKINSON BAR EXPERIMENT DATA: FILTER ANALYSIS

This work presents a data preprocessing procedure for signal acquired during high strain-rate loading using a custom Split Hopkinson Pressure Bar (SHPB). Before the evaluation of the experimental data, preprocessing of the measured signals including application of suitable digital or analog filter n...

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Bibliographic Details
Published in:Acta Polytechnica CTU Proceedings
Main Authors: Marcel Adorna, Jan Falta, Tomáš Fíla, Petr Zlámal
Format: Article
Language:English
Published: Czech Technical University in Prague 2018-10-01
Subjects:
Online Access:https://ojs.cvut.cz/ojs/index.php/APP/article/view/5103
Description
Summary:This work presents a data preprocessing procedure for signal acquired during high strain-rate loading using a custom Split Hopkinson Pressure Bar (SHPB). Before the evaluation of the experimental data, preprocessing of the measured signals including application of suitable digital or analog filter needs to be performed. Our department mainly focuses on measurements performed on advanced materials (e.g. materials with predefined structures or hybrid foams). For such measurements, it is essential to perform data preprocessing and apply suitable filter, to be able to appropriately determine deformation pulses on the measuring bars. This paper focuses foremost on spectral analysis of the measured signals, and design of optimal method of data filtering. Data from several different SHPB experiments were processed and results of different filtering methods are shown in this paper. Parameters of the best performing filter were optimized and shown to be universal for wide range of SHPB measurements.
ISSN:2336-5382