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Development of a viscoelastic finite...

Wang, Jaw-Lin.

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Development of a viscoelastic finite element model of L2-L3 motion segment: Towards quantification of dynamic risk factors for industrial low back disorders.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Development of a viscoelastic finite element model of L2-L3 motion segment: Towards quantification of dynamic risk factors for industrial low back disorders./
作者:	Wang, Jaw-Lin.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 1996,
面頁冊數:	176 p.
附註:	Source: Dissertations Abstracts International, Volume: 58-02, Section: B.
Contained By:	Dissertations Abstracts International58-02B.
標題:	Biomedical research. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9630996

Development of a viscoelastic finite element model of L2-L3 motion segment: Towards quantification of dynamic risk factors for industrial low back disorders.
Wang, Jaw-Lin.

Development of a viscoelastic finite element model of L2-L3 motion segment: Towards quantification of dynamic risk factors for industrial low back disorders. - Ann Arbor : ProQuest Dissertations & Theses, 1996 - 176 p.

Source: Dissertations Abstracts International, Volume: 58-02, Section: B.

Thesis (Ph.D.)--The Ohio State University, 1996.

This item must not be sold to any third party vendors.

Biomechanical literature has identified the extreme loading of spine as a risk factor for low back injury. The association between loading and spine injury may be undisputed, but the dose-response relationship is unclear. Full consideration of the dynamic contributions of the loading characteristics in activities such as lifting at different speeds, requires modeling of the viscoelastic behavior of passive tissues like ligaments, anulus fibers, and the disc. Epidemiological studies have shown that jobs requiring higher speeds of trunk motion have higher risk of industrial low back pain (LBP). A Finite Element (FE) model of the L2/L3 motion segment was constructed to yield mechanical responses at different loading conditions. The estimation of the viscoelastic material properties was based on the optimization of experimental data of isolated components and the gross response of the motion segment from literature. Several numerical experiments such as creep, relaxation, axial compressive and flexion cyclic loading, and symmetric complex flexion loading at different constant loading rates in various pre- and post-stressed loading conditions were conducted. These simulations represented a variety of loading conditions that the spine may experience in-vivo. The detailed stress-strain analyses of motion segments identified the essential load sharing among the passive elements under different conditions. Findings from this research can also be incorporated into models of risk assessment and biomechanical analyses of manual material handling tasks.Subjects--Topical Terms:

3433833
Biomedical research.

Development of a viscoelastic finite element model of L2-L3 motion segment: Towards quantification of dynamic risk factors for industrial low back disorders.
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506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a Biomechanical literature has identified the extreme loading of spine as a risk factor for low back injury. The association between loading and spine injury may be undisputed, but the dose-response relationship is unclear. Full consideration of the dynamic contributions of the loading characteristics in activities such as lifting at different speeds, requires modeling of the viscoelastic behavior of passive tissues like ligaments, anulus fibers, and the disc. Epidemiological studies have shown that jobs requiring higher speeds of trunk motion have higher risk of industrial low back pain (LBP). A Finite Element (FE) model of the L2/L3 motion segment was constructed to yield mechanical responses at different loading conditions. The estimation of the viscoelastic material properties was based on the optimization of experimental data of isolated components and the gross response of the motion segment from literature. Several numerical experiments such as creep, relaxation, axial compressive and flexion cyclic loading, and symmetric complex flexion loading at different constant loading rates in various pre- and post-stressed loading conditions were conducted. These simulations represented a variety of loading conditions that the spine may experience in-vivo. The detailed stress-strain analyses of motion segments identified the essential load sharing among the passive elements under different conditions. Findings from this research can also be incorporated into models of risk assessment and biomechanical analyses of manual material handling tasks.
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