Historical Review of Combined Experimental and Computational Approaches for Investigating Annulus Fibrosus MechanicsSource: Journal of Biomechanical Engineering:;2020:;volume( 142 ):;issue: 003DOI: 10.1115/1.4046186Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Intervertebral disc research has sought to develop a deeper understanding of spine biomechanics, the complex relationship between disc health and back pain, and the mechanisms of spinal injury and repair. To do so, many researchers have focused on characterizing tissue-level properties of the disc, where the roles of tissue subcomponents can be more systematically investigated. Unfortunately, experimental challenges often limit the ability to measure important disc tissue- and subtissue-level behaviors, including fiber–matrix interactions, transient nutrient and electrolyte transport, and damage propagation. Numerous theoretical and numerical modeling frameworks have been introduced to explain, complement, guide, and optimize experimental research efforts. The synergy of experimental and computational work has significantly advanced the field, and these two aspects have continued to develop independently and jointly. Meanwhile, the relationship between experimental and computational work has become increasingly complex and interdependent. This has made it difficult to interpret and compare results between experimental and computational studies, as well as between solely computational studies. This paper seeks to explore issues of model translatability, robustness, and efficient study design, and to propose and motivate potential future directions for experimental, computational, and combined tissue-level investigations of the intervertebral disc.
|
Collections
Show full item record
contributor author | Zhou, Minhao | |
contributor author | Werbner, Benjamin | |
contributor author | O'Connell, Grace | |
date accessioned | 2022-02-04T14:29:21Z | |
date available | 2022-02-04T14:29:21Z | |
date copyright | 2020/02/28/ | |
date issued | 2020 | |
identifier issn | 0148-0731 | |
identifier other | bio_142_03_030802.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4273764 | |
description abstract | Intervertebral disc research has sought to develop a deeper understanding of spine biomechanics, the complex relationship between disc health and back pain, and the mechanisms of spinal injury and repair. To do so, many researchers have focused on characterizing tissue-level properties of the disc, where the roles of tissue subcomponents can be more systematically investigated. Unfortunately, experimental challenges often limit the ability to measure important disc tissue- and subtissue-level behaviors, including fiber–matrix interactions, transient nutrient and electrolyte transport, and damage propagation. Numerous theoretical and numerical modeling frameworks have been introduced to explain, complement, guide, and optimize experimental research efforts. The synergy of experimental and computational work has significantly advanced the field, and these two aspects have continued to develop independently and jointly. Meanwhile, the relationship between experimental and computational work has become increasingly complex and interdependent. This has made it difficult to interpret and compare results between experimental and computational studies, as well as between solely computational studies. This paper seeks to explore issues of model translatability, robustness, and efficient study design, and to propose and motivate potential future directions for experimental, computational, and combined tissue-level investigations of the intervertebral disc. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Historical Review of Combined Experimental and Computational Approaches for Investigating Annulus Fibrosus Mechanics | |
type | Journal Paper | |
journal volume | 142 | |
journal issue | 3 | |
journal title | Journal of Biomechanical Engineering | |
identifier doi | 10.1115/1.4046186 | |
page | 30802 | |
tree | Journal of Biomechanical Engineering:;2020:;volume( 142 ):;issue: 003 | |
contenttype | Fulltext |