Understanding the factors that control the extent of tissue damage as a result of material failure in soft tissues may provide means to improve diagnosis and treatment of soft tissue injuries. The objective of this research was to develop and test a computational framework for the study of the failure of anisotropic soft tissues subjected to finite deformation. An anisotropic constitutive model incorporating strain-based failure criteria was implemented in an existing computational solid mechanics software based on the material point method (MPM), a quasi-meshless particle method for simulations in computational mechanics. The constitutive model and the strain-based failure formulations were tested using simulations of simple shear and tensile mechanical tests. The model was then applied to investigate a scenario of a penetrating injury: a low-speed projectile was released through a myocardial material slab. Sensitivity studies were performed to establish the necessary grid resolution and time-step size. Results of the simple shear and tensile test simulations demonstrated the correct implementation of the constitutive model and the influence of both fiber family and matrix failure on predictions of overall tissue failure. The slab penetration simulations produced physically realistic wound tracts, exhibiting diameter increase from entrance to exit. Simulations examining the effect of bullet initial velocity showed that the anisotropy influenced the shape and size of the exit wound more at lower velocities. Furthermore, the size and taper of the wound cavity was smaller for the higher bullet velocity. It was concluded that these effects were due to the amount of momentum transfer. The results demonstrate the feasibility of using MPM and the associated failure model for large-scale numerical simulations of soft tissue failure.
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e-mail: jeff.weiss@utah.edu
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December 2006
Technical Papers
Simulation of Soft Tissue Failure Using the Material Point Method
Irina Ionescu,
Irina Ionescu
Department of Bioengineering, and Scientific Computing and Imaging Institute,
University of Utah
, Salt Lake City, UT 84112
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James E. Guilkey,
James E. Guilkey
Department of Mechanical Engineering,
University of Utah
, Salt Lake City, UT 84112
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Martin Berzins,
Martin Berzins
Scientific Computing and Imaging Institute, School of Computing,
University of Utah
, Salt Lake City, UT 84112
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Robert M. Kirby,
Robert M. Kirby
Scientific Computing and Imaging Institute, School of Computing,
University of Utah
, Salt Lake City, UT 84112
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Jeffrey A. Weiss
Jeffrey A. Weiss
Department of Bioengineering, and Scientific Computing and Imaging Institute,
e-mail: jeff.weiss@utah.edu
University of Utah
, 50 South Central Campus Drive, Room 2480, Salt Lake City, Utah 84112-9202
Search for other works by this author on:
Irina Ionescu
Department of Bioengineering, and Scientific Computing and Imaging Institute,
University of Utah
, Salt Lake City, UT 84112
James E. Guilkey
Department of Mechanical Engineering,
University of Utah
, Salt Lake City, UT 84112
Martin Berzins
Scientific Computing and Imaging Institute, School of Computing,
University of Utah
, Salt Lake City, UT 84112
Robert M. Kirby
Scientific Computing and Imaging Institute, School of Computing,
University of Utah
, Salt Lake City, UT 84112
Jeffrey A. Weiss
Department of Bioengineering, and Scientific Computing and Imaging Institute,
University of Utah
, 50 South Central Campus Drive, Room 2480, Salt Lake City, Utah 84112-9202e-mail: jeff.weiss@utah.edu
J Biomech Eng. Dec 2006, 128(6): 917-924 (8 pages)
Published Online: June 19, 2006
Article history
Received:
December 21, 2005
Revised:
June 19, 2006
Citation
Ionescu, I., Guilkey, J. E., Berzins, M., Kirby, R. M., and Weiss, J. A. (June 19, 2006). "Simulation of Soft Tissue Failure Using the Material Point Method." ASME. J Biomech Eng. December 2006; 128(6): 917–924. https://doi.org/10.1115/1.2372490
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