A Novel Procedure for Micromechanical Characterization of White Matter Constituents at Various Strain Rates

Hoursan, Hesam; Farahmand, Farzam; Ahmadian, Mohammad Taghi

doi:10.24200/sci.2018.50940.1928

Cited by 7 publications

(3 citation statements)

References 28 publications

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“…In such e orts, accurate measurement of generated stresses in the brain tissue is necessary for predicting the size of the injuries. It is known that brain tissue has both elastic and viscous behaviors [7][8][9][10]. A great deal of e ort has been devoted, therefore, to describing material properties of the brain tissue in terms of linear viscoelastic behavior [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Instantaneous and Equilibrium Responses of the Brain Tissue by Stress Relaxation and Quasi-Linear Viscoelasticity Theory

et al. 2019

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Human brain and brainstem tissues have viscoelastic characteristics and their behaviors are functions of strains as well as strain rates. Determination of the equilibrium and instantaneous stresses happening at low and high strain rates provides insights into a better understanding of the behavior of such tissues. In this manuscript, we present the results of a series of stress relaxation tests at 6 di erent values of strains conducted on porcine brainstem tissue samples to indirectly measure the equilibrium and instantaneous stresses. The equilibrium stresses at low strain rates were measured from long-term responses to the stress relaxation test. The instantaneous stresses at high strain rates were determined using Quasi-Linear Viscoelasticity (QLV) theory at 6 strains. The results showed that the instantaneous stresses were much larger (almost 11 times) than the equilibrium stresses across all the strains. It was concluded that the instantaneous response could reasonably be estimated from the long-term response, which could easily be measured in an experimental manner. The experimental results also showed that the reduced relaxation moduli, estimated by the QLV theory, varied for the 6 strains tested.

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Section: Introductionmentioning

confidence: 99%

Instantaneous and Equilibrium Responses of the Brain Tissue by Stress Relaxation and Quasi-Linear Viscoelasticity Theory

et al. 2019

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“…In our recent study using micromechanical modeling and multiobjective optimization 37 , we predicted the independent mechanical properties of axonal fibers and ECM based on seven (or six) previously reported experimental mechanical tests for bulk white matter tissue from the corpus callosum (CC) 6 . The result of the study showed that the independent mechanical properties of white matter microstructure, which have been inversely predicted from the bulk tissue using single or dual mechanical loading modes, do not adequately describe the response of the tissue under all simple or complex combinatorial loading modes [37][38][39][40][41][42] . We used a finite element (FE) representative volume element (RVE) with periodic boundary conditions to link the mechanical responses of heterogeneous bulk tissue and microscale constituents.…”

Section: Introductionmentioning

confidence: 98%

Mapping Stiffness Landscape of Heterogeneous and Anisotropic Fibrous Tissue

Chavoshnejad,

Li,

Liu

et al. 2023

Preprint

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Finding the stiffness map of biological tissues is of great importance in evaluating their healthy or pathological conditions. However, due to the heterogeneity and anisotropy of biological fibrous tissues, this task presents challenges and significant uncertainty when characterized only by single-mode loading experiments. In this study, we propose a new method to accurately map the stiffness landscape of fibrous tissues, specifically focusing on brain white matter tissue. Initially, a finite element model of the fibrous tissue was subjected to six loading modes, and their corresponding stress-strain curves were characterized. By employing multiobjective optimization, an equivalent anisotropic material model was inversely extracted to best fit all six loading modes simultaneously. Subsequently, large-scale finite element simulations were conducted, incorporating various fiber volume fractions and orientations, to train a convolutional neural network capable of predicting the equivalent anisotropic material model solely based on the fibrous architecture of any given tissue. The method was applied to imaging data of brain white matter tissue, demonstrating its effectiveness in precisely mapping the anisotropic behavior of fibrous tissue. The findings of this study have direct applications in traumatic brain injury, brain folding studies, and neurodegenerative diseases, where accurately capturing the material behavior of the tissue is crucial for simulations and experiments.

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“…Landslides have caused significant problems in landfills., including irreversible damages to adjacent structures, severe environmental pollution, demolition of urban infrastructures, and most importantly, human casualties [1][2][3][4][5]. It is important to provide a reliable behavioral model in various fields of science, mechanical [6,7], civil [8][9][10], biological [11][12][13], and other applications. In this regard, it is required to develop an appropriate constitutive model to predict the behavior of Municipal Solid Waste (MSW) materials subjected to a different type of loading and various conditions [14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Constitutive modeling of a municipal solid waste considering the effects of creep and temperature using composite theory

2023

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In this paper, a constitutive model for the stress-strain response of municipal solid waste (MSW) is presented, considering the effects of temperature and aging. Our goal is to provide a model for predicting the behavior of these materials. The models used to predict the behavior of waste have used the theory of soils, and in this research, a composite based model has been developed. A Cylindrical sample is modeled and loaded under triaxial loading conditions as observed in the experimental specimens. A fresh MSW, as our sample was investigated with specific composition. The constant of the relation between stress-strain was calculated using optimization technique. The obtained results are compared with previous models' experimental data and results to verify the proposed model. At the lower strains, a good agreement can be reported between the numerical and experimental results. The root mean square percentage of the relative error between the present model and the model of other researchers has shown acceptable results. It is also revealed that, as the temperature of the MSW increases, the stress on the waste is increased.

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A Novel Procedure for Micromechanical Characterization of White Matter Constituents at Various Strain Rates

Cited by 7 publications

References 28 publications

Instantaneous and Equilibrium Responses of the Brain Tissue by Stress Relaxation and Quasi-Linear Viscoelasticity Theory

Instantaneous and Equilibrium Responses of the Brain Tissue by Stress Relaxation and Quasi-Linear Viscoelasticity Theory

Mapping Stiffness Landscape of Heterogeneous and Anisotropic Fibrous Tissue

Constitutive modeling of a municipal solid waste considering the effects of creep and temperature using composite theory

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