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Traumatic brain injury poses a major public health challenge with significant immediate and long-term effects. Repetitive head trauma is an ongoing area of research, and little is known about the response of cerebral blood vessels to such loading. This study investigated the mechanical response of cerebral arteries to repetitive overstretch, hypothesizing that repeated overstretch leads to cumulative damage. To test this hypothesis, middle cerebral artery segments from twelve piglets were subjected to sub-yield, high-rate overstretch of varying severities, with up to 10 repetitions. The stress-stretch behavior of the vessels revealed that repetitive overstretch caused progressive softening that increased with both overstretch magnitude and number of exposures. This softening was notably limited to the toe region, with no changes occurring in the higher-stress, linear portion of the repeated overstretch curves. Mild-to-moderate overstretches resulted in gradual softening, while severe overstretches caused dramatic softening with the first exposure and little further change with subsequent overstretches. Mildly damaged vessels displayed a small amount of recovery with time, but the magnitude of this recovery was minimal and declined with increasing repetitions and severity. No clear relationship was observed between collagen denaturation and the magnitude and number of overstretches. These findings provide important insights into the mechanics of cerebral vessels under repetitive loading, suggesting that vascular damage from repeated trauma accumulates, potentially exacerbating existing injury. These results increase understanding of soft tissue damage and inform the development of constitutive damage models for cerebral arteries, a critical tool needed to improve predictions of traumatic brain injury progression. STATEMENT OF SIGNIFICANCE: This study investigates the mechanical response of cerebral arteries to repetitive overstretch, revealing cumulative softening effects. Unlike previous studies focusing on single overstretch events, our research is the first to explore repetitive exposures in cerebral arteries and to report softening as a function of both overstretch magnitude and number of exposures. Given the role of cerebral vessels in maintaining a healthy brain and their contributions to the structural response of the brain in TBI events, progressive vessel softening in repetitive TBI may lead to increased vulnerability with the potential to exacerbate existing injury. These findings enhance understanding of soft tissue damage mechanisms, providing critical insights for developing constitutive damage models and improving injury predictions in repeated TBI.
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A Strain Rate-Dependent Constitutive Model for Göttingen Minipig Cerebral Arteries
Abstract Computational simulations of traumatic brain injury (TBI) are commonly used to advance understanding of the injury–pathology relationship, tissue damage thresholds, and design of protective equipment such as helmets. Both human and animal TBI models have developed substantially over recent decades, partially due to the inclusion of more detailed brain geometry and representation of tissues like cerebral blood vessels. Explicit incorporation of vessels dramatically affects local strain and enables researchers to investigate TBI-induced damage to the vasculature. While some studies have indicated that cerebral arteries are rate-dependent, no published experimentally based, rate-sensitive constitutive models of cerebral arteries exist. In this work, we characterize the mechanical properties of axially failed porcine arteries, both quasi-statically (0.01 s−1) and at high rate (>100 s−1), and propose a rate-sensitive model to fit the data. We find that the quasi-static and high-rate stress–stretch curves become significantly different (p < 0.05) above a stretch of 1.23. We additionally find a significant change in both failure stretch and stress as a result of strain rate. The stress–stretch curve is then modeled as a Holzapfel–Gasser–Ogden material, with a Prony series added to capture the effects of viscoelasticity. Ultimately, this paper demonstrates that rate dependence should be considered in the material properties of cerebral arteries undergoing high strain-rate deformations and provides a ready-to-use model for finite element implementation.
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- Award ID(s):
- 2027367
- PAR ID:
- 10347713
- Date Published:
- Journal Name:
- Journal of Biomechanical Engineering
- Volume:
- 144
- Issue:
- 8
- ISSN:
- 0148-0731
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1115/1.4053796
