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Flipped Accumulative Non-Linear Single Impact Resonance Acoustic Spectroscopy (FANSIRAS): A novel feature extraction algorithm for global damage assessment

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Flipped Accumulative Non-Linear Single Impact Resonance Acoustic Spectroscopy (FANSIRAS): A novel feature extraction algorithm for global damage assessment

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Carrión García, A.; Genovés, V.; Pérez, G.; Paya Bernabeu, JJ.; Gosálbez Castillo, J. (2018). Flipped Accumulative Non-Linear Single Impact Resonance Acoustic Spectroscopy (FANSIRAS): A novel feature extraction algorithm for global damage assessment. Journal of Sound and Vibration. 432:454-469. https://doi.org/10.1016/j.jsv.2018.06.031

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/120699

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Title: Flipped Accumulative Non-Linear Single Impact Resonance Acoustic Spectroscopy (FANSIRAS): A novel feature extraction algorithm for global damage assessment
Author: Carrión García, Alicia Genovés, V. Pérez, G. Paya Bernabeu, Jorge Juan Gosálbez Castillo, Jorge
UPV Unit: Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia
Universitat Politècnica de València. Departamento de Ingeniería de la Construcción y de Proyectos de Ingeniería Civil - Departament d'Enginyeria de la Construcció i de Projectes d'Enginyeria Civil
Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Abstract:
[EN] High amplitude non-linear acoustic methods have shown great potential for the identification of micro-damage in inhomogeneous materials such as concrete. Usually, these methods evaluate non-linearity parameters related ...[+]
Subjects: Non-linear acoustic spectroscopy , Hysteresis , NIRAS , FANSIRAS , NSIRAS , Concrete , Thermal damage
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Journal of Sound and Vibration. (issn: 0022-460X )
DOI: 10.1016/j.jsv.2018.06.031
Publisher:
Elsevier
Publisher version: http://doi.org/10.1016/j.jsv.2018.06.031
Project ID:
MINECO/BIA2014-55311-C2-1-P
MINECO/BIA2014-55311-C2-2-P
MINECO/TEC2011-23403
MINECO/BES-2015-071469
Thanks:
This work has been supported by the Spanish Administration under grants TEC2011-23403, BES2015-071469, BIA2014-55311-C2-1-P and BIA2014-55311-C2-2-P. The authors are also grateful for FEDER funds.
Type: Artículo

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