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Rheological Response of Human Brain Tissue in Shear
Abstract
Head injury is often attributed to transient shear stresses arising from rotation of the brain in the cranial cavity. This paper deals with the experimental determination and analytical characterization of in vitro human brain dynamic constitutive properties in pure shear. A closed loop, feedback torsional system with a self mass cancelling torque transducer is used for the experimental study. Values of the storage and loss components of the dynamic shear modulus are computed and a four parameter, linear, visco-elastic model representing brain tissue properties up to 350 Hz is presented. In addition, failure criterion in terms of limiting strains and strain rates are identified.
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Citations
Cited by
A Proposed Injury Threshold for Mild Traumatic Brain Injury
Zhang, L., Yang, K. H., & King, A. I. (2004) · Journal of Biomechanical Engineering · doi:10.1115/1.1691446 · Cited by 939
Viscoelastic parameter identification of human brain tissue
Budday, S., Sommer, G., Holzapfel, G. A., Steinmann, P., & Kuhl, E. (2017) · Journal of the Mechanical Behavior of Biomedical Materials · doi:10.1016/j.jmbbm.2017.07.014 · Cited by 178
Metadata
- Authors
- Shuck, L. Z., & Advani, S. H.
- Venue
- Journal of Basic Engineering
- Publisher
- ASME International
- Published
- 1972-12-01
- Volume
- 94
- Issue
- 4
- Pages
- 905-911
- ISSN
- 0021-9223 (ISSN-L)
- OpenAlex
- W2026987864
- Cited by
- 308
- References
- 0
- FWCI
- 1.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Rheological Response of Human Brain Tissue in Shear. https://app.cochat.ai/papers/10.1115/1.3425588
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- Shuck, L. Z., & Advani, S. H. (1972). Rheological Response of Human Brain Tissue in Shear. Journal of Basic Engineering. https://doi.org/10.1115/1.3425588
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
