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dc.contributor.author | Latorre, Marcos | es_ES |
dc.contributor.author | Humphrey, Jay D. | es_ES |
dc.date.accessioned | 2023-01-23T19:00:29Z | |
dc.date.available | 2023-01-23T19:00:29Z | |
dc.date.issued | 2020-08-15 | es_ES |
dc.identifier.issn | 0045-7825 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/191439 | |
dc.description.abstract | [EN] Constrained mixture models of soft tissue growth and remodeling can simulate many evolving conditions in health as well as in disease and its treatment, but they can be computationally expensive. In this paper, we derive a new fast, robust finite element implementation based on a concept of mechanobiological equilibrium that yields fully resolved solutions and allows computation of quasi-equilibrated evolutions when imposed perturbations are slow relative to the adaptive process. We demonstrate quadratic convergence and verify the model via comparisons with semi-analytical solutions for arterial mechanics. We further examine the enlargement of aortic aneurysms for which we identify new mechanobiological insights into factors that affect the nearby non-aneurysmal segment as it responds to the changing mechanics within the diseased segment. Because this new 3D approach can be implemented within many existing finite element solvers, constrained mixture models of growth and remodeling can now be used more widely. | es_ES |
dc.description.sponsorship | This work was supported, in part, by grants from the NIH, USA (R01 HL128602, P01 HL134605, U01 HL142518) and DoD, USA (W81 XWH1810518) | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Computer Methods in Applied Mechanics and Engineering | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Growth | es_ES |
dc.subject | Remodeling | es_ES |
dc.subject | Constrained mixture | es_ES |
dc.subject | Mechanobiology | es_ES |
dc.subject | Artery | es_ES |
dc.title | Fast, rate-independent, finite element implementation of a 3D constrained mixture model of soft tissue growth and remodeling | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.cma.2020.113156 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//R01 HL128602//Computational Model Driven Design of Tissue Engineered Vascular Grafts/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//P01 HL134605 //Endothelial Mechanotransduction in Thoracic Aneurysm Formation and Progression/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//U01 HL142518//Multimodality imaging-driven multifidelity modeling of aortic dissection/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/DOD//W81 XWH1810518//Development and Preclinical Validation of an Improved Tissue-Engineered Vascular Graft for Use in Congenital Surgery/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | Latorre, M.; Humphrey, JD. (2020). Fast, rate-independent, finite element implementation of a 3D constrained mixture model of soft tissue growth and remodeling. Computer Methods in Applied Mechanics and Engineering. 368:1-33. https://doi.org/10.1016/j.cma.2020.113156 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.cma.2020.113156 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 33 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 368 | es_ES |
dc.identifier.pmid | 32655195 | es_ES |
dc.identifier.pmcid | PMC7351114 | es_ES |
dc.relation.pasarela | S\472450 | es_ES |
dc.contributor.funder | U.S. Department of Defense | es_ES |
dc.contributor.funder | National Institutes of Health, EEUU | es_ES |
dc.subject.ods | 03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades | es_ES |