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dc.contributor.author
Messineo, Maria Gabriela
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Rus, Guillermo
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Elicabe, Guillermo Enrique
dc.contributor.author
Frontini, Gloria Lia
dc.date.available
2018-03-26T20:21:11Z
dc.date.issued
2016-02
dc.identifier.citation
Messineo, Maria Gabriela; Rus, Guillermo; Elicabe, Guillermo Enrique; Frontini, Gloria Lia; Layered material characterization using ultrasonic transmission. An inverse estimation methodology; Elsevier Science; Ultrasonics; 65; 2-2016; 315-328
dc.identifier.issn
0041-624X
dc.identifier.uri
http://hdl.handle.net/11336/40026
dc.description.abstract
This paper presents an inverse methodology with the aim to characterize a layered material through the identification of acoustical and mechanical properties of its layers. The framework to accomplish this objective is provided by the Inverse Problems (IPs) theory. Material characterization refers to the detection and localization of discontinuities, as well as to the identification of physical properties, in order to predict the material behaviour. In this particular case, the IP is solved in the form of a parameter estimation problem, in which the goal is the estimation of the characteristic acoustic impedance, transit time, and attenuation of each layer. These parameters are directly related to relevant material properties, such as the speed of sound, density, elastic modulus and elastic energy dissipation constants. The IP solution is obtained by minimizing a cost functional formulated as the least squares error between the waveform calculated using an equivalent model, and the measured waveform obtained from ultrasonic transmission tests. The applied methodology allowed the accurate estimation of the desired parameters in materials composed of up to three layers. As a second contribution, a power law frequency dependence of the wave attenuation was identified for several homogeneous materials, based on the same ultrasonic transmission experiments.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Inverse Problem
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Layered Materials
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Mechanical Properties
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Parameter Estimation
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Ultrasound
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Recubrimientos y Películas
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Ingeniería de los Materiales
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INGENIERÍAS Y TECNOLOGÍAS
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Recubrimientos y Películas
dc.subject.classification
Ingeniería de los Materiales
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INGENIERÍAS Y TECNOLOGÍAS
dc.title
Layered material characterization using ultrasonic transmission. An inverse estimation methodology
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-03-26T18:08:08Z
dc.journal.volume
65
dc.journal.pagination
315-328
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Messineo, Maria Gabriela. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Departamento de Matemática; Argentina
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Fil: Rus, Guillermo. Universidad de Granada; España
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Fil: Elicabe, Guillermo Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones en Ciencia y Tecnología de Materiales. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones en Ciencia y Tecnología de Materiales; Argentina
dc.description.fil
Fil: Frontini, Gloria Lia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones en Ciencia y Tecnología de Materiales. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones en Ciencia y Tecnología de Materiales; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Departamento de Matemática; Argentina
dc.journal.title
Ultrasonics
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.ultras.2015.09.010
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0041624X15002334
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