A thermodynamic framework for unified continuum models for the healing of damaged soft biological tissue

Zuo, Di; He, Yiqian; Avril, Stéphane; Yang, Haitian; Hackl, Klaus

doi:10.1016/j.jmps.2021.104662

Cited by 8 publications

(2 citation statements)

References 43 publications

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“…Developing the aforementioned damage model requires constitutive model parameters with physical interpretation [ 32 ] and robust experiments in conjunction with tissue engineering to study the effect of disease on the tissue [ 139 ]. However, the active response of the soft tissues in damage and rupture models can be developed by introducing the growth and remodelling [ 140 , 141 , 142 ]. The damage models by Ghasemi et al [ 36 ] considers damage mechanisms at mesoscopic scales, and Holzapfel and Ogden [ 86 ] consider the cross-links between the collagen fibres, where both the models aim towards defining the constitutive parameters with physical interpretation.…”

Section: Discussionmentioning

confidence: 99%

A Review on Damage and Rupture Modelling for Soft Tissues

et al. 2022

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Computational modelling of damage and rupture of non-connective and connective soft tissues due to pathological and supra-physiological mechanisms is vital in the fundamental understanding of failures. Recent advancements in soft tissue damage models play an essential role in developing artificial tissues, medical devices/implants, and surgical intervention practices. The current article reviews the recently developed damage models and rupture models that considered the microstructure of the tissues. Earlier review works presented damage and rupture separately, wherein this work reviews both damage and rupture in soft tissues. Wherein the present article provides a detailed review of various models on the damage evolution and tear in soft tissues focusing on key conceptual ideas, advantages, limitations, and challenges. Some key challenges of damage and rupture models are outlined in the article, which helps extend the present damage and rupture models to various soft tissues.

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Section: Discussionmentioning

confidence: 99%

A Review on Damage and Rupture Modelling for Soft Tissues

et al. 2022

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“…The current conventional representation of the tissue as a fibre-reinforced composite [24] allows reducing the problem to two simpler problems: modelling the isotropic matrix and transversally-anisotropic fibres. Viscoelastic [25,37,61,70], damage-related [2,21,30,74], as well as growth & remodelling [5,12,17,33] models describe the stress-strain hysteresis, damage accumulation, and reorganisation/adaptation of soft tissue, respectively. Consideration of residual stresses [3,24,62] is crucial for analysing overall stress fields, kinematics of the structure, and its functional properties.…”

Section: Introductionmentioning

confidence: 99%

Rational choice of modelling assumptions for simulation of blood vessel end-to-side anastomosis

Tagiltsev¹,

Parshin²,

Shutov³

2022

Math. Model. Nat. Phenom.

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Blood vessels exhibit highly nonlinear, anisotropic behaviour with numerous mechanical interactions. Since exact modelling of all involved effects would yield a computationally prohibitive procedure, a practical clinical simulation tool needs to account for a minimum threshold of relevant factors. In this study, we analyse needed modelling assumptions for a reliable simulation of the end-to-side anastomosis. The artery wall is modelled in a geometrically exact setting as a pre-stressed fibre-reinforced composite. The study focuses on the sensitivity analysis of post-anastomosis stress fields concerning the modelling assumptions. Toward that end, a set of full-scale finite element simulations is carried out for three sensitivity cases: (i) The post-operational stresses are estimated with and without taking the residual stresses into account. (ii) Different geometries of the cut in the recipient vessel are examined. (iii) The influence of errors in material stiffness identification on the post-operational stress field is estimated. The studied cases (i)---(iii) have shown a substantial impact of the considered modelling assumptions on the predictive capabilities of the simulation. Approaches to more accurate predictions of post-operational stress distribution are outlined, and a quest for more accurate experimental procedures is made. As a by-product, the occurrence of the pseudo-aneurysm is explained.

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