Abstract
With the increasing use of Computer Aided Engineering, it has become vital to be able to evaluate the accuracy of numerical models. Specific methods such as CORA were developed to objectively evaluate the correlation between a physical test and a numerical simulation results in terms of parameter vs time. However, no metric has so far been developed for Force Vs Deflection (FvD) signals often used in crashworthiness and biomechanics. A unique method called the Minimum Area Discrepancy Method, or MADM, is proposed to address this deficiency. This new method initially calculates a parameter ‘R’ which represents the area between numerical model and the average physical test response and then divides it by the average area generated by the upper and lower test corridors, based on the same standard deviation. The parameter ‘R’ is then normalized between 0 (no correlation) and 1 (perfect correlation) to become the MADM correlation rating. The MADM method was then validated by comparing a one dimensional Finite Element (FE) model of a chest model, under 2 impact velocities, against reference Post Mortem Human Subject (PMHS) data. The MADM method was further used to improve the correlation of this thorax model, by varying model parameters and generating 81 model variations. Based on the MADM ratings, a set parameter values leading to the best fit was identified. The best fit exhibits a response significantly better than the original chest model. MADM is novel, unique, easy to use and fulfills an important gap in objectively evaluating FVD correlation responses.
Original language | English |
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Article number | GCMB-2018-045 |
Pages (from-to) | 981-996 |
Number of pages | 16 |
Journal | Computer Methods in Biomechanics and Biomedical Engineering |
Volume | 22 |
Issue number | 11 |
Early online date | 10 May 2019 |
DOIs | |
Publication status | Published - 18 Aug 2019 |
Bibliographical note
This is an Accepted Manuscript of an article published by Taylor & Francis in Computer Methods in Biomechanics and Biomedical Engineering on 10/05/2019, available online: http://www.tandfonline.com/10.1080/10255842.2019.1610745Keywords
- correlation
- FvD
- MADM
- minimum area discrepancy method
ASJC Scopus subject areas
- Bioengineering
- Biomedical Engineering
- Human-Computer Interaction
- Computer Science Applications
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Christophe Bastien
- Centre for Future Transport and Cities - Associate Professor Academic
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Jesper Christensen
- Centre for Future Transport and Cities - Associate Professor Research
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