4.5 Article

On a three-dimensional constitutive model for history effects in skeletal muscles

期刊

BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
卷 18, 期 6, 页码 1665-1681

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s10237-019-01167-9

关键词

Skeletal muscle; Force depression; Force enhancement; Muscle properties; Three-dimensional modelling; Parameter identification

资金

  1. Deutsche Forschungsgemeinschaft (DFG) [BO 3091/4-1, SI 841/3-1]

向作者/读者索取更多资源

An exceptional property of skeletal muscles that distinguishes them from other soft tissues is their ability to contract by generating active forces, which in turn are initiated by an electrochemical trigger. Some of these so-called active material properties are generally characterised using isometric contraction experiments at various muscle lengths. In this context, experimental observations revealed that unlike the widespread assumption in muscle modelling, reaction forces indeed depend on so-called history effects, which can be classified into force enhancement and force depression. For the experimental settings of force enhancement, two subsequent isometric contractions are interrupted by an isokinetic extension. The isometric reaction force is increased after the isokinetic extension with respect to a reference measurement, while in the case of force depression, isokinetic shortening is responsible for forces below a certain isometric reference measurement. Most theoretical investigations of force enhancement and force depression use one-dimensional models to simulate the force response considering muscle deformation to be homogeneous. In contrast, the aim of the present study is to analyse history effects in skeletal muscle tissue using a three-dimensional geometry model of the whole muscle-tendon unit. Therefore, a purely phenomenological approach is presented. The model is implemented in the finite element framework to analyse history effects for the boundary value problem of the entire three-dimensional muscle-tendon geometry. The constitutive model shows good agreement with the experimental data. Furthermore, the simulations reveal information about the inhomogeneous stretch distributions within the muscle tissues.

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