2022
DOI: 10.1007/s10237-021-01554-1
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A macroscopic approach for stress-driven anisotropic growth in bioengineered soft tissues

Abstract: The simulation of growth processes within soft biological tissues is of utmost importance for many applications in the medical sector. Within this contribution, we propose a new macroscopic approach for modelling stress-driven volumetric growth occurring in soft tissues. Instead of using the standard approach of a-priori defining the structure of the growth tensor, we postulate the existence of a general growth potential. Such a potential describes all eligible homeostatic stress states that can ultimately be … Show more

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Cited by 19 publications
(7 citation statements)
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“…(see e.g. Reese and Govindjee, 1998;Vladimirov et al, 2008;Lamm et al, 2022). The final form of the update formulas read:…”
Section: Numerical Implementationmentioning
confidence: 99%
“…(see e.g. Reese and Govindjee, 1998;Vladimirov et al, 2008;Lamm et al, 2022). The final form of the update formulas read:…”
Section: Numerical Implementationmentioning
confidence: 99%
“…a homeostatic stress is tried to reach throughout the whole tissue. Within this contribution, the approach suggested in [4] for modeling growth and remodeling is followed. A so-called 'homeostatic surface' in the principal stress space similar to plasticity is introduced, which describes the preferred or homeostatic stress.…”
Section: Evolution Equationsmentioning
confidence: 99%
“…In the literature, different approaches exist to describe these phenomena, for instance, constraint mixture approaches. In this regard, [4] recently published an approach based on so-called homeostatic surfaces. These surfaces prescribe the preferred state in the principal stress space, such that growth and remodeling is considered in a smeared and phenomenological sense until the current stress state coincides with the surface.…”
Section: Introductionmentioning
confidence: 99%
“…More general and elaborate continuum mechanical models for growth and remodeling of soft biological tissues can be derived utilizing the framework for modeling anisotropic inelasticity via structural tensors, introduced in Reese et al [43]. The anisotropic growth formulation developed in Lamm et al [33] is also relevant in this regard wherein the growth is stressdriven.…”
Section: Growth Theoriesmentioning
confidence: 99%
“…Eqs. 33,34,35,36, and 37 are linearized about the states at t n+1 (See Appendix A.2). The computational domain in the reference configuration is spatially approximated via finite elements, i.e.,…”
Section: Spatial Discretizationmentioning
confidence: 99%