Exploring the mechanical behavior of degrading swine neural tissue at low strain rates via the fractional Zener constitutive model

Bentil, Sarah A.; Dupaix, Rebecca B.

doi:10.1016/j.jmbbm.2013.10.020

Cited by 20 publications

(49 citation statements)

References 18 publications

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“…Porcine brain tissue was also chosen due to its availability, compared to human brain samples. As a result, all tests were completed within 12 hours postmortem to minimize the influence of postmortem time on the material response (Ayyildiz et al, 2014;Bentil and Dupaix, 2014;Garo et al, 2007).…”

Section: Sample Preparationmentioning

confidence: 99%

“…Each sample underwent a single unconfined stress relaxation experiment consisting of an applied ramp-hold displacement input. The experiment was not repeated on samples due to the softness and viscoelastic properties of the tissue (Bentil and Dupaix, 2014;Miller and Chinzei, 2002;Rashid et al, 2013). During the ramp phase, the HR-2's top plate compressed the sample to 20% strain, or 80% of its original height, at a constant compressive rate of either 5 mm/min, 50 mm/min, or 500 mm/min, correlating to average strain rates of 0.00568/s, 0.0568/s, and 0.568/s, respectively.…”

Section: Unconfined Compression Testingmentioning

confidence: 99%

“…Since brain tissue's behavior is affected by strain rate and displays hysteresis, it is best described by a viscoelastic model (Bentil and Dupaix, 2014;Boudjema et al, 2017;Donnelly and Medige, 1997;Finan et al, 2017;Galford and McElhaney, 1970;Green et al, 2008;Jin et al, 2013;Klatt et al, 2007;Kleiven, 2007;Miller and Chinzei, 1997;Rashid et al, 2012;Takhounts et al, 1999;Tirella et al, 2013). In this study, the fractional Zener (FZ) constitutive model was used to quantify the mechanical behavior of brain tissue during unconfined compression experiments.…”

Section: Fractional Zener Constitutive Modelmentioning

confidence: 99%

“…However, the authors of this study could find no previous studies that examined the mechanical response of brain tissue after a TBI. Instead, the literature shows researchers who have studied brain tissue using both experimental and computational methods to evaluate the mechanical response of uninjured brain tissue subjected to compression, tension, and shear (Bentil and Dupaix, 2014;Budday et al, 2017;Darvish and Crandall, 2001;Hrapko et al, 2006;Jin et al, 2013;Miller and Chinzei, 2002;Rashid et al, 2013;Velardi et al, 2006;Zhao et al, 2018).…”

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Viscoelastic properties of shock wave exposed brain tissue subjected to unconfined compression experiments

McCarty

Zhang

Hansen

et al. 2019

Journal of the Mechanical Behavior of Biomedical Materials

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Traumatic brain injuries (TBI) affect millions of people each year. While research has been dedicated to determining the mechanical properties of the uninjured brain, there has been a lack of investigation on the mechanical properties of the brain after experiencing a primary blast-induced TBI. In this paper, whole porcine brains were exposed to a shock wave to simulate blast-induced TBI. First, ten (10) brains were subjected to unconfined compression experiments immediately following shock wave exposure. In addition, 22 brains exposed to a shock wave were placed in saline solution and refrigerated between 30 minutes and 6.0 hours before undergoing unconfined compression experiments. This study aimed to investigate the effect of a time delay on the viscoelastic properties in the event that an experiment cannot be completed immediately. Samples from both soaked and freshly extracted brains were subjected to compressive rates of 5, 50, and 500 mm/min during the unconfined compression experiments. The fractional Zener (FZ) viscoelastic model was applied to obtain the brain's material properties. The length of time in the solution statistically influenced three of the four FZ coefficients, E 0 (instantaneous elastic response), τ 0 (relaxation time), and α (fractional order). Further, the compressive rate statistically influenced τ 0 and α. AbstractTraumatic brain injuries (TBI) affect millions of people each year. While research has been dedicated to determining the mechanical properties of the uninjured brain, there has been a lack of investigation on the mechanical properties of the brain after experiencing a primary blast-induced TBI. In this paper, whole porcine brains were exposed to a shock wave to simulate blast-induced TBI. First, ten (10) brains were subjected to unconfined compression experiments immediately following shock wave exposure. In addition, 22 brains exposed to a shock wave were placed in saline solution and refrigerated between 30 minutes and 6.0 hours before undergoing unconfined compression experiments. This study aimed to investigate the effect of a time delay on the viscoelastic properties in the event that an experiment cannot be completed immediately. Samples from both soaked and freshly extracted brains were subjected to compressive rates of 5, 50, and 500 mm/min during the unconfined compression experiments. The fractional Zener (FZ) viscoelastic model was applied to obtain the brain's material properties. The length of time in the solution statistically influenced three of the four FZ coefficients, E 0 (instantaneous elastic response), τ 0 (relaxation time), and α (fractional order). Further, the compressive rate statistically influenced τ 0 and α.

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Section: Sample Preparationmentioning

confidence: 99%

Section: Unconfined Compression Testingmentioning

confidence: 99%

Section: Fractional Zener Constitutive Modelmentioning

confidence: 99%

mentioning

confidence: 99%

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Viscoelastic properties of shock wave exposed brain tissue subjected to unconfined compression experiments

McCarty

Zhang

Hansen

et al. 2019

Journal of the Mechanical Behavior of Biomedical Materials

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“…Los operadores diferenciales fraccionales han mostrado un gran desarrollo, utilizándose principalmente en la caracterización del comportamiento mecánico de tejidos blandos in-vivo [9], con investigaciones recientes para la caracterización del tejido cerebral [10,11], donde existen criterios establecidos de daño por esfuerzos y deformaciones [12], aquellos relacionados con el hígado [13], o como en el caso de este estudio, para la caracterización biomecánica de las arterias [14,15].…”

Section: Introductionunclassified

Modelación y simulación de la arteria aorta a partir de datos clínicos utilizando un modelo fraccional viscoelástico y el método del elemento finito

Palomares

Madrigal

Lugo

et al. 2015

RMIB

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RESUMENLos modelos y simulaciones de los efectos biomecánicos presentes en la arteria aorta, le proporcionan al especialista de la salud una herramienta computacional, que puede ser empleada en la prevención y el tratamiento de las enfermedades cardiovasculares. Es por esto que en la presente investigación se desarrolla un modelo matemático con la finalidad de implementarlo en simulaciones tridimensionales digitales que permitan analizar el comportamiento mecánico de arterias. Primero se describe la metodología utilizada en la construcción de la geometría de la arteria basada en imágenes provenientes de una tomografía axial computarizada, los ensayos experimentales necesarios para la obtención de los parámetros mecánicos requeridos por el modelo y porúltimo su orden fraccional. Con lo que se obtiene una simulación mediante elementos finitos donde se identifican las zonas de mayor concentración de esfuerzos y el campo de desplazamientos. Para poder obtener estos resultados se empleó una formulación novedosa basada en modelos viscoelásticos de orden fraccional donde además se obtuvieron, a través del módulo complejo, los valores requeridos para la simulación.Palabras Clave: biomecánica, materiales biomédicos, cálculo fraccional, arteria, método del elemento finito, imágenes médicas.

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Viscoelastic Properties of Inert Solid Rocket Propellants Exposed to a Shock Wave

Bentil

Jackson

Williams

et al. 2021

Propellants Explo Pyrotec

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Inert solid rocket propellant samples were subjected to dynamic inflation experiments, to characterize the viscoelastic response at high strain rates. An oxyacetylenedriven shock tube created the shock wave, which was used to dynamically pressurize the surface of the samples during the inflation experiments. Two high-speed cameras captured the deforming samples, which were speckled to measure the full-field surface displacements using the digital image correlation (DIC) algorithm. An inverse finite element analysis (iFEA) was used to calibrate parameters of a generalized Maxwell model (i. e. Prony series), which was used to characterize the propellants' viscoelastic response to shock wave exposure. The viscoelastic parameters cali-brated using a Prony series with one Maxwell branch provided a better fit with the out-of-plane displacement data from DIC. At least 50 % of the energy dissipated, within the inert solid rocket propellant, occurred within 5 ms following shock wave exposure. The softening phenomenon, due to debonding of the particles embedded in the inert solid rocket propellant, occurred since there was a decrease in instantaneous elastic modulus with increased strain rate. The results of this study will add to the limited knowledge of the linear viscoelastic behavior of inert HTPB propellant at high strain rates and may improve the predictive capabilities of health-monitoring sensors that assess the solid rocket propellant's structural integrity.

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Exploring the mechanical behavior of degrading swine neural tissue at low strain rates via the fractional Zener constitutive model

Cited by 20 publications

References 18 publications

Viscoelastic properties of shock wave exposed brain tissue subjected to unconfined compression experiments

Viscoelastic properties of shock wave exposed brain tissue subjected to unconfined compression experiments

Modelación y simulación de la arteria aorta a partir de datos clínicos utilizando un modelo fraccional viscoelástico y el método del elemento finito

Viscoelastic Properties of Inert Solid Rocket Propellants Exposed to a Shock Wave

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