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dc.contributor.authorGarcía Vilana, Silvia
dc.contributor.authorSánchez Molina, David
dc.contributor.authorLlumà Fuentes, Jordi
dc.contributor.authorFernández Osete, Ismael
dc.contributor.authorVelázquez Ameijide, Juan
dc.contributor.authorMartínez González, Eva
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Resistència de Materials i Estructures a l'Enginyeria
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciència i Enginyeria de Materials
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Mecànica, Fluids i Aeronàutica
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Mecànica
dc.date.accessioned2021-10-21T12:23:50Z
dc.date.available2022-09-01T00:27:04Z
dc.date.issued2021-09-01
dc.identifier.citationGarcia-Vilana, S. [et al.]. A predictive model for fracture in human ribs based on in-vitro acoustic emission data. "Medical physics", 1 Setembre 2021, vol. 48, núm. 9, p. 5540-5548.
dc.identifier.issn0094-2405
dc.identifier.urihttp://hdl.handle.net/2117/354201
dc.description.abstractPurpose The aim of this paper is to propose a fracture model for human ribs based on acoustic emission (AE) data. The accumulation of microcracking until a macroscopic crack is produced can be monitored by AE. The macrocrack propagation causes the loss of the structural integrity of the rib. Methods The AE technique was used in in vitro bending tests of human ribs. The AE data obtained were used to construct a quantitative model that allows an estimation of the failure stress from the signals detected. The model predicts the ultimate stress with an error of less than 3.5% (even at stresses 15% lower than failure stress), which makes it possible to safely anticipate the failure of the rib. Results The percolation theory was used to model crack propagation. Moreover, a quantitative probability-based model for the expected number of AE signals has been constructed, incorporating some ideas of percolation theory. The model predicts that AE signals associated with micro-failures should exhibit a vertical asymptote when stress increases. The occurrence of this vertical asymptote was attested in our experimental observations. The total number of microfailures detected prior to the failure is urn:x-wiley:00942405:media:mp15082:mp15082-math-0001 and the ultimate stress is urn:x-wiley:00942405:media:mp15082:mp15082-math-0002 MPa. A significant correlation (p < 0.0001) between urn:x-wiley:00942405:media:mp15082:mp15082-math-0003 and the predicted value is found, using only the first N = 30 micro-failures (correlation improves for N higher). Conclusions The measurements and the shape of the curves predicted by the model fit well. In addition, the model parameters seem to explain quantitatively and qualitatively the distribution of the AE signals as the material approaches the macroscopic fracture. Moreover, some of these parameters correlate with anthropometric variables, such as age or Body Mass Index. The proposed model could be used to predict the structural failure of ribs subjected to bending.
dc.format.extent9 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria mecànica
dc.subject.lcshAcoustic emission testing
dc.subject.lcshBiomechanics
dc.subject.otherAcoustic Emission
dc.subject.otherBiomechanics
dc.subject.otherHuman Rib
dc.subject.otherProbabilistic models
dc.subject.otherPercolation
dc.titleA predictive model for fracture in human ribs based on in-vitro acoustic emission data
dc.typeArticle
dc.subject.lemacEmissió acústica -- Proves
dc.subject.lemacBiomecànica
dc.contributor.groupUniversitat Politècnica de Catalunya. GRABI - Grup de Recerca Aplicada en Biomecànica de l'Impacte
dc.contributor.groupUniversitat Politècnica de Catalunya. PROCOMAME - Processos de Conformació de Materials Metàl·lics
dc.contributor.groupUniversitat Politècnica de Catalunya. LEAM - Laboratori d'Enginyeria Acústica i Mecànica
dc.identifier.doi10.1002/mp.15082
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://aapm.onlinelibrary.wiley.com/doi/abs/10.1002/mp.15082
dc.rights.accessOpen Access
local.identifier.drac31922248
dc.description.versionPostprint (author's final draft)
local.citation.authorGarcia-Vilana, Silvia; Sanchez, D.; Lluma, J.; Fernández, I.; Velazquez-Ameijide, J.; Martinez-Gonzalez, E.
local.citation.publicationNameMedical physics
local.citation.volume48
local.citation.number9
local.citation.startingPage5540
local.citation.endingPage5548


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