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dc.contributor.authorSánchez Molina, David
dc.contributor.authorMartínez González, Eva
dc.contributor.authorVelázquez Ameijide, Juan
dc.contributor.authorLlumà Fuentes, Jordi
dc.contributor.authorRebollo Soria, María Carmen
dc.contributor.authorArregui Dalmases, Carlos
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Resistència de Materials i Estructures a l'Enginyeria
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Mecànica
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciència dels Materials i Enginyeria Metal·lúrgica
dc.date.accessioned2015-10-02T09:47:25Z
dc.date.available2015-10-02T09:47:25Z
dc.date.created2015-07-15
dc.date.issued2015-07-15
dc.identifier.citationSanchez, D., Martinez-Gonzalez, E., Velazquez-Ameijide, J., Lluma, J., Rebollo, M. C., Arregui-Dalmases, C. A stochastic model for soft tissue failure using acoustic emission data. "Journal of the mechanical behavior of biomedical materials", 15 Juliol 2015, vol. 51, p. 328-336.
dc.identifier.issn1751-6161
dc.identifier.urihttp://hdl.handle.net/2117/77287
dc.description.abstractThe strength of soft tissues is due mainly to collagen fibers. In most collagenous tissues, the arrangement of the fibers is random, but has preferred directions. The random arrangement makes it difficult to make deterministic predictions about the starting process of fiber breaking under tension. When subjected to tensile stress the fibers are progressively straighten out and then start to be stretched. At the beginning of fiber breaking, some of the fibers reach their maximum tensile strength and break down while some others remain unstressed (this latter fibers will assume then major stress until they eventually arrive to their failure point). In this study, a sample of human esophagi was subjected to a tensile breaking of some fibers, up to the complete failure of the specimen. An experimental setup using Acoustic Emission to detect the elastic energy released is used during the test to detect the location of the emissions and the number of micro-failures per time unit. The data were statistically analyzed in order to be compared to a stochastic model which relates the level of stress in the tissue and the probability of breaking given the number of previously broken fibers, i.e. the deterioration in the tissue). The probability of a fiber breaking as the stretch increases in the tissue can be represented by a non-homogeneous Markov process which is the basis of the stochastic model proposed. This paper shows that a two-parameter model can account for the fiber breaking and the expected distribution for ultimate stress is a Fréchet distribution.
dc.format.extent9 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria dels materials
dc.subject.lcshTissues
dc.subject.otherCollagenous Tissues
dc.subject.otherAcoustic Emission
dc.subject.otherStochastic Failure Models
dc.subject.otherEsophagus.
dc.titleA stochastic model for soft tissue failure using acoustic emission data
dc.typeArticle
dc.subject.lemacResistència de materials
dc.contributor.groupUniversitat Politècnica de Catalunya. LEAM - Laboratori d'Enginyeria Acústica i Mecànica
dc.contributor.groupUniversitat Politècnica de Catalunya. PROCOMAME - Processos de Conformació de Materials Metàl·lics
dc.identifier.doi10.1016/j.jmbbm.2015.07.002
dc.relation.publisherversionhttp://www.journals.elsevier.com/journal-of-the-mechanical-behavior-of-biomedical-materials/
dc.rights.accessOpen Access
local.identifier.drac16658502
dc.description.versionPostprint (author’s final draft)
local.citation.authorSanchez, D.; Martinez-Gonzalez, E.; Velazquez-Ameijide, J.; Lluma, J.; Rebollo, M. C.; Arregui-Dalmases, C.
local.citation.publicationNameJournal of the mechanical behavior of biomedical materials
local.citation.volume51
local.citation.startingPage328
local.citation.endingPage336


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Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain