Rate- and Region-Dependent Mechanical Properties of Göttingen Minipig Brain Tissue in Simple Shear and Unconfined Compression

Author:

Boiczyk Gregory M.1,Pearson Noah2,Kote Vivek Bhaskar34,Sundaramurthy Aravind34,Subramaniam Dhananjay Radhakrishnan34,Rubio Jose E.34,Unnikrishnan Ginu34,Reifman Jaques5,Monson Kenneth L.67

Affiliation:

1. Department of Biomedical Engineering, The University of Utah , 36 S. Wasatch Drive, Salt Lake City, UT 84112

2. Department of Mechanical Engineering, The University of Utah , 1495 E 100 S, Salt Lake City, UT 84112

3. Department of Defense Biotechnology, High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Development Command , 2405 Whittier Drive, Suite 200, Frederick, MD 21702 ; , 6720A Rockledge Drive, Bethesda, MD 20817

4. The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. , 2405 Whittier Drive, Suite 200, Frederick, MD 21702 ; , 6720A Rockledge Drive, Bethesda, MD 20817

5. Department of Defense Biotechnology, High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Development Command , 2405 Whittier Drive, Suite 200, Frederick, MD 21702

6. Department of Mechanical Engineering, The University of Utah , 1495 E 100 S, Salt Lake City, UT 84112 ; , 36 S. Wasatch Drive, Salt Lake City, UT 84112

7. Department of Biomedical Engineering, The University of Utah , 1495 E 100 S, Salt Lake City, UT 84112 ; , 36 S. Wasatch Drive, Salt Lake City, UT 84112

Abstract

Abstract Traumatic brain injury (TBI), particularly from explosive blasts, is a major cause of casualties in modern military conflicts. Computational models are an important tool in understanding the underlying biomechanics of TBI but are highly dependent on the mechanical properties of soft tissue to produce accurate results. Reported material properties of brain tissue can vary by several orders of magnitude between studies, and no published set of material parameters exists for porcine brain tissue at strain rates relevant to blast. In this work, brain tissue from the brainstem, cerebellum, and cerebrum of freshly euthanized adolescent male Göttingen minipigs was tested in simple shear and unconfined compression at strain rates ranging from quasi-static (QS) to 300 s−1. Brain tissue showed significant strain rate stiffening in both shear and compression. Minimal differences were seen between different regions of the brain. Both hyperelastic and hyper-viscoelastic constitutive models were fit to experimental stress, considering data from either a single loading mode (unidirectional) or two loading modes together (bidirectional). The unidirectional hyper-viscoelastic models with an Ogden hyperelastic representation and a one-term Prony series best captured the response of brain tissue in all regions and rates. The bidirectional models were generally able to capture the response of the tissue in high-rate shear and all compression modes, but not the QS shear. Our constitutive models describe the first set of material parameters for porcine brain tissue relevant to loading modes and rates seen in blast injury.

Funder

National Science Foundation

U.S. Army Medical Research and Materiel Command

Publisher

ASME International

Subject

Physiology (medical),Biomedical Engineering

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