000078282 001__ 78282
000078282 005__ 20191122145056.0
000078282 0247_ $$2doi$$a10.1016/j.jmbbm.2017.10.007
000078282 0248_ $$2sideral$$a101855
000078282 037__ $$aART-2018-101855
000078282 041__ $$aeng
000078282 100__ $$0(orcid)0000-0002-4268-7424$$aPeña, Juan A.$$uUniversidad de Zaragoza
000078282 245__ $$aOver length quantification of the multiaxial mechanical properties of the ascending, descending and abdominal aorta using Digital Image Correlation
000078282 260__ $$c2018
000078282 5060_ $$aAccess copy available to the general public$$fUnrestricted
000078282 5203_ $$aIn this paper, we hypothesize that the biaxial mechanical properties of the aorta may be dependent on arterial location. To demonstrate any possible position-related difference, our study analyzed and compared the biaxial mechanical properties of the ascending thoracic aorta, descending thoracic aorta and infrarenal abdominal aorta stemming from the same porcine subjects, and reported values of constitutive parameters for well-known strain energy functions, showing how these mechanical properties are affected by location along the aorta. When comparing ascending thoracic aorta, descending thoracic aorta and infrarenal abdominal aorta, abdominal tissues were found to be stiffer and highly anisotropic. We found that the aorta changed from a more isotropic to a more anisotropic tissue and became progressively less compliant and stiffer with the distance to the heart. We observed substantial differences in the anisotropy parameter between aortic samples where abdominal samples were more anisotropic and nonlinear than the thoracic samples. The phenomenological model was not able to capture the passive biaxial properties of each specific porcine aorta over a wide range of biaxial deformations, showing the best prediction root mean square error e=0.2621 for ascending thoracic samples and, especially, the worst for the infrarenal abdominal samples e=0.3780. The micro-structured model with Bingham orientation density function was able to better predict biaxial deformations (e=0.1372 for ascending thoracic aorta samples). The root mean square error of the micro-structural model and the micro-structured model with von Mises orientation density function were similar for all positions.
000078282 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T88$$9info:eu-repo/grantAgreement/ES/ISCIII/CIBER-BBN$$9info:eu-repo/grantAgreement/ES/MINECO/DPI2014-51763-REDT$$9info:eu-repo/grantAgreement/ES/MINECO/DPI2016-76630-C2-1-R
000078282 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000078282 590__ $$a3.485$$b2018
000078282 591__ $$aENGINEERING, BIOMEDICAL$$b18 / 80 = 0.225$$c2018$$dQ1$$eT1
000078282 591__ $$aMATERIALS SCIENCE, BIOMATERIALS$$b13 / 32 = 0.406$$c2018$$dQ2$$eT2
000078282 592__ $$a1.037$$b2018
000078282 593__ $$aBiomaterials$$c2018$$dQ1
000078282 593__ $$aMechanics of Materials$$c2018$$dQ1
000078282 593__ $$aBiomedical Engineering$$c2018$$dQ1
000078282 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/submittedVersion
000078282 700__ $$aCorral, Victoria
000078282 700__ $$0(orcid)0000-0002-8375-0354$$aMartínez, Miguel A.$$uUniversidad de Zaragoza
000078282 700__ $$0(orcid)0000-0002-0664-5024$$aPeña, Estefanía$$uUniversidad de Zaragoza
000078282 7102_ $$15002$$2305$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Expresión Gráfica en Ing.
000078282 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000078282 773__ $$g77 (2018), 434-445$$pJ. mech. behav. boomed. mater.$$tJournal of the Mechanical Behavior of Biomedical Materials$$x1751-6161
000078282 8564_ $$s2172405$$uhttps://zaguan.unizar.es/record/78282/files/texto_completo.pdf$$yPreprint
000078282 8564_ $$s86676$$uhttps://zaguan.unizar.es/record/78282/files/texto_completo.jpg?subformat=icon$$xicon$$yPreprint
000078282 909CO $$ooai:zaguan.unizar.es:78282$$particulos$$pdriver
000078282 951__ $$a2019-11-22-14:46:28
000078282 980__ $$aARTICLE