کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
875282 910369 2008 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Viscoelastic properties of passive skeletal muscle in compression: Stress-relaxation behaviour and constitutive modelling
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی پزشکی
پیش نمایش صفحه اول مقاله
Viscoelastic properties of passive skeletal muscle in compression: Stress-relaxation behaviour and constitutive modelling
چکیده انگلیسی

The compressive properties of skeletal muscle are important in impact biomechanics, rehabilitation engineering and surgical simulation. However, the mechanical behaviour of muscle tissue in compression remains poorly characterised. In this paper, the time-dependent properties of passive skeletal muscle were investigated using a combined experimental and theoretical approach. Uniaxial ramp and hold compression tests were performed in vitro on fresh porcine skeletal muscle at various rates and orientations of the tissue fibres. Results show that above a very small compression rate, the viscoelastic component plays a significant role in muscle mechanical properties; it represents approximately 50% of the total stress reached at a compression rate of 0.5% s−1. A stiffening effect with compression rate is observed especially in directions closer to the muscle fibres. Skeletal muscle viscoelastic behaviour is thus dependent on compression rate and fibre orientation.A model is proposed to represent the observed experimental behaviour, which is based on the quasi-linear viscoelasticity framework. A previously developed strain-dependent Young's Moduli formulation was extended with Prony series to account for the tissue viscoelastic properties. Parameters of the model were obtained by fitting to stress-relaxation data obtained in the muscle fibre, cross-fibre and 45° directions. The model then successfully predicted stress-relaxation behaviour at 60° from the fibre direction (errors <25%). Simultaneous fitting to data obtained at compression rates of 0.5% s−1, 1% s−1 and 10% s−1 was performed and the model provided a good fit to the data as well as good predictions of muscle behaviour at rates of 0.05% s−1 and 5% s−1 (errors <25%).

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Biomechanics - Volume 41, Issue 7, 2008, Pages 1555–1566
نویسندگان
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