Model-based damage evaluation of layered CFRP structures
Metadatos
Mostrar el registro completo del ítemAutor
Muñoz Beltrán, Rafael; Bochud, Nicolás; Rus Carlborg, Guillermo; Peralta, Laura; Melchor Rodríguez, Juan Manuel; Chiachío Ruano, Juan; Chiachío Ruano, Manuel; Bond, Leonard J.Editorial
AIP Publishing
Materia
Nonlinear ultrasonics Carbon Fibre Reinforced Polymer CFRP Nondesctuctive evaluation Model-based evaluation
Fecha
2015-03-31Referencia bibliográfica
Rafael Munoz, Nicolas Bochud, Guillermo Rus, Laura Peralta, Juan Melchor, Juan Chiachío, Manuel Chiachío, Leonard J. Bond; Model-based damage evaluation of layered CFRP structures. AIP Conf. Proc. 31 March 2015; 1650 (1): 1170–1177. https://doi.org/10.1063/1.4914727
Patrocinador
Ministerio de Economía y Competitividad for project DPI2010-17065; Junta de Andalucía for projects P11-CTS-8089 and GGI3000IDIB; European Union for the 'Programa Operativo FEDER de Andalucía 2007-2013'.Resumen
An ultrasonic evaluation technique for damage identification of layered CFRP structures is presented. This approach relies on a model-based estimation procedure that combines experimental data and simulation of ultrasonic damage-propagation interactions. The CFPR structure, a [0/90]4s lay-up, has been tested in an immersion through transmission experiment, where a scan has been performed on a damaged specimen. Most ultrasonic techniques in industrial practice consider only a few features of the received signals, namely, time of flight, amplitude, attenuation, frequency contents, and so forth. In this case, once signals are captured, an algorithm is used to reconstruct the complete signal waveform and extract the unknown damage parameters by means of modeling procedures. A linear version of the data processing has been performed, where only Young modulus has been monitored and, in a second nonlinear version, the first order nonlinear coefficient β was incorporated to test the possibility of detection of early damage. The aforementioned physical simulation models are solved by the Transfer Matrix formalism, which has been extended from linear to nonlinear harmonic generation technique. The damage parameter search strategy is based on minimizing the mismatch between the captured and simulated signals in the time domain in an automated way using Genetic Algorithms. Processing all scanned locations, a C-scan of the parameter of each layer can be reconstructed, obtaining the information describing the state of each layer and each interface. Damage can be located and quantified in terms of changes in the selected parameter with a measurable extension. In the case of the nonlinear coefficient of first order, evidence of higher sensitivity to damage than imaging the linearly estimated Young Modulus is provided.