Prediction of Mechanical Responses of a Uniaxially Stretched Neural Fiber Bundle: Theoretical Approach for a Traumatic Loading ConditionSource: Journal of Engineering and Science in Medical Diagnostics and Therapy:;2022:;volume( 006 ):;issue: 002::page 21001Author:Tamura, Atsutaka;Hongu, Junichi
DOI: 10.1115/1.4056304Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Viscoelasticity of the spinal nerve roots may play a significant role in predicting nerve root damage caused by overall spinal motion. However, only a few studies have investigated the complex mechanical behavior of this tissue. The current study presents a theoretical protocol for predicting mechanical responses of soft biological materials, and this method was used to a uniaxially stretched neural fiber bundle isolated from porcine spinal nerve roots with various loading configurations. Stress relaxation tests were performed to systematically determine a set of parameters dictating the stress decaying process, i.e., a set of relaxation moduli and the corresponding time constants. Based on the obtained experimental and numerical test data, it was confirmed that the proposed method is effective even for the prediction of mechanical response to a cyclic stretch immediately after the ramphold test. In addition, an elastic response, i.e., a stress–strain relationship under a highrate loading regime, was determined analytically. The results demonstrated that instantaneous mechanical responses of neural fiber bundles can be stiffened against very rapid stretch (>10 s−1); however, the fibers are relatively insensitive to moderate loading rates (<1 s−1). The ultimate tensile strength was estimated to be approximately 8 MPa at the structural failure strain (15%). This information will enable the computational assessment of traumatic nerve root injuries sustained during traffic accidents and contact sports.
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contributor author | Tamura, Atsutaka;Hongu, Junichi | |
date accessioned | 2023-04-06T12:55:36Z | |
date available | 2023-04-06T12:55:36Z | |
date copyright | 12/21/2022 12:00:00 AM | |
date issued | 2022 | |
identifier issn | 25727958 | |
identifier other | jesmdt_006_02_021001.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4288767 | |
description abstract | Viscoelasticity of the spinal nerve roots may play a significant role in predicting nerve root damage caused by overall spinal motion. However, only a few studies have investigated the complex mechanical behavior of this tissue. The current study presents a theoretical protocol for predicting mechanical responses of soft biological materials, and this method was used to a uniaxially stretched neural fiber bundle isolated from porcine spinal nerve roots with various loading configurations. Stress relaxation tests were performed to systematically determine a set of parameters dictating the stress decaying process, i.e., a set of relaxation moduli and the corresponding time constants. Based on the obtained experimental and numerical test data, it was confirmed that the proposed method is effective even for the prediction of mechanical response to a cyclic stretch immediately after the ramphold test. In addition, an elastic response, i.e., a stress–strain relationship under a highrate loading regime, was determined analytically. The results demonstrated that instantaneous mechanical responses of neural fiber bundles can be stiffened against very rapid stretch (>10 s−1); however, the fibers are relatively insensitive to moderate loading rates (<1 s−1). The ultimate tensile strength was estimated to be approximately 8 MPa at the structural failure strain (15%). This information will enable the computational assessment of traumatic nerve root injuries sustained during traffic accidents and contact sports. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Prediction of Mechanical Responses of a Uniaxially Stretched Neural Fiber Bundle: Theoretical Approach for a Traumatic Loading Condition | |
type | Journal Paper | |
journal volume | 6 | |
journal issue | 2 | |
journal title | Journal of Engineering and Science in Medical Diagnostics and Therapy | |
identifier doi | 10.1115/1.4056304 | |
journal fristpage | 21001 | |
journal lastpage | 210017 | |
page | 7 | |
tree | Journal of Engineering and Science in Medical Diagnostics and Therapy:;2022:;volume( 006 ):;issue: 002 | |
contenttype | Fulltext |