Most soft biological tissues exhibit a remarkable ability to adapt to sustained changes in mechanical loads. These macroscale adaptations, resulting from mechanobiological cellular responses, are important determinants of physiological behaviors and thus clinical outcomes. Given the complexity of such adaptations, computational models can significantly increase our understanding of how contributions of different cell types or matrix constituents, and their rates of turnover and evolving properties, ultimately change the geometry and biomechanical behavior at the tissue level. In this paper, we examine relative roles of the rates of tissue responses and external loading and present a new rate-independent approach for modeling the evolution of soft tissue growth and remodeling. For illustrative purposes, we also present numerical results for arterial adaptations. In particular, we show that, for problems defined by particular characteristic times, this approximate theory captures well the predictions of a fully general constrainedmixture theory at a fraction of the computational cost. (C) 2018 Author(s).
机构:
Natl Res Council Canada, Herzberg Astron Program, Victoria, BC V9E 2E7, CanadaNatl Res Council Canada, Herzberg Astron Program, Victoria, BC V9E 2E7, Canada
Redman, Russell O.
REQUIREMENTS FOR UTC AND CIVIL TIMEKEEPING ON EARTH,
2013,
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机构:
Shahid Beheshti Univ, Dept Phys, Tehran 19839, IranShahid Beheshti Univ, Dept Phys, Tehran 19839, Iran
Ali-Akbari, M.
Charmchi, F.
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机构:
Inst Res Fundamental Sci IPM, Sch Particles & Accelerators, POB 19395-5531, Tehran, IranShahid Beheshti Univ, Dept Phys, Tehran 19839, Iran
Charmchi, F.
Ebrahim, H.
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Univ Tehran, Dept Phys, North Karegar Ave, Tehran 14395547, Iran
Inst Res Fundamental Sci IPM, Sch Phys, POB 19395-5531, Tehran, IranShahid Beheshti Univ, Dept Phys, Tehran 19839, Iran