{"title":"Efficient time-stepping for the evolution equations of damage-induced growth and remodelling in soft biological tissues","authors":"Igor Tagiltsev, Peter Wriggers","doi":"10.1016/j.euromechsol.2025.105582","DOIUrl":null,"url":null,"abstract":"<div><div>The constrained mixture method is a powerful instrument to model soft biological tissues, in particular — their growth and remodelling (G&R) behaviour. Its clear drawback lays in the increase of governing equations which corresponds to the increase of material constituents. In the current paper we scrutinise a particular G&R model, that is based on the detailed description of material’s chemo-mechano-biological state, caused by excessive load associated with collagen fibres’ unfolding. The model consist of many interacting evolution equations, solving of which takes most of computational time during applied simulations. Two qualitative model assumptions are made to improve its capabilities. Moreover, several iteration-free numerical schemes are introduced addressing the integration of evolution equations. We show that the numerical performance of the model drastically improves with the proposed schemes, while no compromises with respect to robustness or accuracy of the simulation are made.</div></div>","PeriodicalId":50483,"journal":{"name":"European Journal of Mechanics A-Solids","volume":"111 ","pages":"Article 105582"},"PeriodicalIF":4.4000,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Mechanics A-Solids","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0997753825000166","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MECHANICS","Score":null,"Total":0}
引用次数: 0
Abstract
The constrained mixture method is a powerful instrument to model soft biological tissues, in particular — their growth and remodelling (G&R) behaviour. Its clear drawback lays in the increase of governing equations which corresponds to the increase of material constituents. In the current paper we scrutinise a particular G&R model, that is based on the detailed description of material’s chemo-mechano-biological state, caused by excessive load associated with collagen fibres’ unfolding. The model consist of many interacting evolution equations, solving of which takes most of computational time during applied simulations. Two qualitative model assumptions are made to improve its capabilities. Moreover, several iteration-free numerical schemes are introduced addressing the integration of evolution equations. We show that the numerical performance of the model drastically improves with the proposed schemes, while no compromises with respect to robustness or accuracy of the simulation are made.
期刊介绍:
The European Journal of Mechanics endash; A/Solids continues to publish articles in English in all areas of Solid Mechanics from the physical and mathematical basis to materials engineering, technological applications and methods of modern computational mechanics, both pure and applied research.