Thoracic response targets for a computational model: A hierarchical approach to assess the biofidelity of a 50th-percentile occupant male finite element model. (May 2015)

• Record Type: Journal Article
• Authors: Poulard, David; Kent, Richard W.; Kindig, Matthew; Li, Zuoping; Subit, Damien
• Is Part Of: Journal of the mechanical behavior of biomedical materials. Volume 45(2015)
• Page Start: 45
• Page End: 64
• Publication Date: 2015-05
• Subjects: Biomechanics -- Thorax -- Simulation -- Evaluation -- Corridor -- Biofidelity -- Impact; Biomedical materials -- Periodicals; Biomedical materials -- Mechanical properties -- Periodicals; Biomedical materials; Biomedical materials -- Mechanical properties; Periodicals; Electronic journals; 610.28
• DOI: 10.1016/j.jmbbm.2015.01.017
• Languages: English
• ISSNs: 1751-6161

Abstract

Abstract: Current finite element human thoracic models are typically evaluated against a limited set of loading conditions; this is believed to limit their capability to predict accurate responses. In this study, a 50th-percentile male finite element model (GHBMC v4.1) was assessed under various loading environments (antero-posterior rib bending, point loading of the denuded ribcage, omnidirectional pendulum impact and table top) through a correlation metric tool (CORA) based on linearly independent signals. The load cases were simulated with the GHBMC model and response corridors were developed from published experimental data. The model was found to be in close agreement with the experimental data both qualitatively and quantitatively (CORA ratings above 0.75) and the response of the thorax was overall deemed biofidelic. This study also provides relevant corridors and an objective rating framework that can be used for future evaluation of thoracic models. Graphical abstract: Highlights: We evaluated a finite element body model using a correlation metric tool. We defined the experimental targets for the different loading cases. The response of the thorax model was deemed biofidelic. The limited number of subjects was found to reduce the efficiency of the evaluation.