Blast waves resulting from both industrial explosions and terrorist attacks cause devastating effects to exposed humans and structures. Blast related injuries are frequently reported in the international news and are of great interest to agencies involved in military and civilian protection. Mathematical models of explosion blast interaction with structures and humans can provide valuable input in the design of protective structures and practices, in injury diagnostics and forensics. Accurate simulation of blast wave interaction with a human body and the human body biodynamic response to the blast loading is very challenging and to the best of our knowledge has not been reported yet. A high-fidelity computational fluid dynamic (CFD) model is required to capture the reflections, diffractions, areas of stagnation, and other effects when the shock and blast waves respond to an object placed in the field. In this effort we simulated a representative free field blast event with a standing human exposed to the threat using the Second Order Hydrodynamic Automatic Mesh Refinement Code (SHAMRC). During the CFD analysis the pressure time history around the human body is calculated, along with the fragment loads. Subsequently these blast loads are applied to a fully articulated human body using the multi-physics code CoBi. In CoBi we developed a novel computational model for the articulated human body dynamics by utilizing the anatomical geometry of human body. The articulated human body dynamics are computed by an implicit multi-body solver which ensures the unconditional stability and guarantees the quadratic rate of convergence. The developed solver enforces the kinematic constraints well while imposing no limitation on the time step size. The main advantage of the model is the anatomical surface representation of a human body which can accurately account for both the surface loading and the surface interaction. The inertial properties are calculated using a finite element method. We also developed an efficient interface to apply the blast wave loading on the human body surface. The numerical results show that the developed model is capable of reasonably predicting the human body dynamics and can be used to study the primary injury mechanism. We also demonstrate that the human body response is affected by many factors such as human inertia properties, contact damping and the coefficient of friction between the human body and the environment. By comparing the computational results with the real scenario, we can calibrate these input parameters to improve the accuracy of articulated human body model.
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ASME 2011 International Mechanical Engineering Congress and Exposition
November 11–17, 2011
Denver, Colorado, USA
Conference Sponsors:
- ASME
ISBN:
978-0-7918-5488-4
PROCEEDINGS PAPER
Modeling Articulated Human Body Dynamics Under a Representative Blast Loading
Andrzej J. Przekwas,
Andrzej J. Przekwas
CFD Research Corp., Huntsville, AL
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Gregory Rule,
Gregory Rule
Applied Research Associates, Inc., Albuquerque, NM
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Kaushik Iyer,
Kaushik Iyer
Johns Hopkins University Applied Physics Laboratory, Columbia, MD
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Kyle Ott,
Kyle Ott
Johns Hopkins University Applied Physics Laboratory, Columbia, MD
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Andrew Merkle
Andrew Merkle
Johns Hopkins University Applied Physics Laboratory, Columbia, MD
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X. G. Tan
CFD Research Corp., Huntsville, AL
Andrzej J. Przekwas
CFD Research Corp., Huntsville, AL
Gregory Rule
Applied Research Associates, Inc., Albuquerque, NM
Kaushik Iyer
Johns Hopkins University Applied Physics Laboratory, Columbia, MD
Kyle Ott
Johns Hopkins University Applied Physics Laboratory, Columbia, MD
Andrew Merkle
Johns Hopkins University Applied Physics Laboratory, Columbia, MD
Paper No:
IMECE2011-64331, pp. 71-78; 8 pages
Published Online:
August 1, 2012
Citation
Tan, XG, Przekwas, AJ, Rule, G, Iyer, K, Ott, K, & Merkle, A. "Modeling Articulated Human Body Dynamics Under a Representative Blast Loading." Proceedings of the ASME 2011 International Mechanical Engineering Congress and Exposition. Volume 2: Biomedical and Biotechnology Engineering; Nanoengineering for Medicine and Biology. Denver, Colorado, USA. November 11–17, 2011. pp. 71-78. ASME. https://doi.org/10.1115/IMECE2011-64331
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