The biomechanical injury calculator: a postprocessor software for a finite element human body model

An injury risk assessment postprocessor for the Global Human Body Model Consortium (GHBMC) model is presented. The Biomechanical Injury Calculator (BIC) calculates injury probabilities for the head, neck, spine, and pelvis post-simulation, along with a total injury probability for the entire complex. It also generates an injury heatmap. Developed for the GHBMC M50-OS v2.3 +DeformSpine, BIC was validated by comparing 103 airmen's seat ejection injuries to BIC-predicted injury probabilities in 30 vertical seat load simulations. Observed injury rates correlated strongly with BIC predictions (Spearman=0.943, Pearson=0.982) within 5.16% margin. The total injury probability of 58.48% closely matched the 56.3% observed rate.

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Publication Details

Journal
Computer Methods in Biomechanics & Biomedical Engineering
Published
2025-04-23
DOI
https://doi.org/10.1080/10255842.2024.2448554
Primary Topic
Automotive and Human Injury Biomechanics
Type
article
Field-Weighted Citation Impact
0.00

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article

The biomechanical injury calculator: a postprocessor software for a finite element human body model

Srihari Menon, Nancy J. Currie, Quenton Hua
Computer Methods in Biomechanics & Biomedical Engineering
Automotive and Human Injury Biomechanics
article

The biomechanical injury calculator: a postprocessor software for a finite element human body model

Srihari Menon, Nancy J. Currie, Quenton Hua
article en

Abstract

An injury risk assessment postprocessor for the Global Human Body Model Consortium (GHBMC) model is presented. The Biomechanical Injury Calculator (BIC) calculates injury probabilities for the head, neck, spine, and pelvis post-simulation, along with a total injury probability for the entire complex. It also generates an injury heatmap. Developed for the GHBMC M50-OS v2.3 +DeformSpine, BIC was validated by comparing 103 airmen's seat ejection injuries to BIC-predicted injury probabilities in 30 vertical seat load simulations. Observed injury rates correlated strongly with BIC predictions (Spearman=0.943, Pearson=0.982) within 5.16% margin. The total injury probability of 58.48% closely matched the 56.3% observed rate.

Computer Methods in Biomechanics & Biomedical Engineering
Mitchell Institute (US), Texas A&M University (US)
College of Engineering, Texas A and M University
Gender equality
Openalex Percentile: Top 87%
Automotive and Human Injury Biomechanics
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