Loss of mass and performance in skeletal muscle tissue: a continuum model

G. Giantesio, A. Marzocchi, A. Musesti
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引用次数: 7

Abstract

Abstract We present a continuum hyperelastic model which describes the mechanical response of a skeletal muscle tissue when its strength and mass are reduced by aging. Such a reduction is typical of a geriatric syndrome called sarcopenia. The passive behavior of the material is described by a hyperelastic, polyconvex, transversely isotropic strain energy function, and the activation of the muscle is modeled by the so called active strain approach. The loss of ability of activating of an elder muscle is then obtained by lowering of some percentage the active part of the stress, while the loss of mass is modeled through a multiplicative decomposition of the deformation gradient. The obtained stress-strain relations are graphically represented and discussed in order to study some of the effects of sarcopenia.
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骨骼肌组织的质量损失和性能:一个连续体模型
摘要我们提出了一个连续超弹性模型,该模型描述了骨骼肌组织因衰老而强度和质量降低时的机械响应。这种减少是一种典型的老年综合征,称为少肌症。材料的被动行为由超弹性、多凸面、横向各向同性应变能函数描述,肌肉的激活由所谓的主动应变方法建模。然后,通过降低应力的活动部分的某个百分比来获得老年肌肉激活能力的损失,同时通过变形梯度的乘法分解来建模质量损失。将获得的应力-应变关系用图形表示并进行讨论,以研究少肌症的一些影响。
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
3
审稿时长
16 weeks
期刊介绍: Communications in Applied and Industrial Mathematics (CAIM) is one of the official journals of the Italian Society for Applied and Industrial Mathematics (SIMAI). Providing immediate open access to original, unpublished high quality contributions, CAIM is devoted to timely report on ongoing original research work, new interdisciplinary subjects, and new developments. The journal focuses on the applications of mathematics to the solution of problems in industry, technology, environment, cultural heritage, and natural sciences, with a special emphasis on new and interesting mathematical ideas relevant to these fields of application . Encouraging novel cross-disciplinary approaches to mathematical research, CAIM aims to provide an ideal platform for scientists who cooperate in different fields including pure and applied mathematics, computer science, engineering, physics, chemistry, biology, medicine and to link scientist with professionals active in industry, research centres, academia or in the public sector. Coverage includes research articles describing new analytical or numerical methods, descriptions of modelling approaches, simulations for more accurate predictions or experimental observations of complex phenomena, verification/validation of numerical and experimental methods; invited or submitted reviews and perspectives concerning mathematical techniques in relation to applications, and and fields in which new problems have arisen for which mathematical models and techniques are not yet available.
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