TY - GEN
T1 - Data-fusion NDE for progressive damage quantification in composites
AU - Cuadra, Jefferson
AU - Vanniamparambil, Prashanth A.
AU - Hazeli, Kavan
AU - Bartolli, Ivan
AU - Kontsos, Antonios
PY - 2014
Y1 - 2014
N2 - The objective of this article is to present a progressive damage quantification framework for fiber reinforced polymer composites (FRPC) that have widespread use in aerospace and wind-turbine applications. To this aim, a novel optico-acoustic nondestructive evaluation (NDE) setup is presented based on integration of Digital Image Correlation (DIC), Acoustic Emission (AE), and Infrared Thermography (IRT). DIC and IRT full-field strain and temperature maps reveal early development of structural hot spots, associated with locations where inelastic strains accumulate, damage initiates, and final fracture occurs in both tensile and fatigue experiments. Damage quantification is further related to: (i) energy dissipation, (ii) residual stiffness, (iii) average both temporal and spatial temperature variations, and (iv) AE features in time and frequency domains. The extracted NDE parameters suggest three characteristic stages of fatigue life that can be used to construct appropriate models for reliable remaining life-predictions.
AB - The objective of this article is to present a progressive damage quantification framework for fiber reinforced polymer composites (FRPC) that have widespread use in aerospace and wind-turbine applications. To this aim, a novel optico-acoustic nondestructive evaluation (NDE) setup is presented based on integration of Digital Image Correlation (DIC), Acoustic Emission (AE), and Infrared Thermography (IRT). DIC and IRT full-field strain and temperature maps reveal early development of structural hot spots, associated with locations where inelastic strains accumulate, damage initiates, and final fracture occurs in both tensile and fatigue experiments. Damage quantification is further related to: (i) energy dissipation, (ii) residual stiffness, (iii) average both temporal and spatial temperature variations, and (iv) AE features in time and frequency domains. The extracted NDE parameters suggest three characteristic stages of fatigue life that can be used to construct appropriate models for reliable remaining life-predictions.
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U2 - 10.1002/9781118888414.ch12
DO - 10.1002/9781118888414.ch12
M3 - Conference contribution
AN - SCOPUS:84899670313
SN - 9781118888919
T3 - TMS Annual Meeting
SP - 137
EP - 145
BT - Advanced Composites for Aerospace, Marine, and Land Applications - Held During TMS 2014 143rd Annual Meeting and Exhibition
PB - Minerals, Metals and Materials Society
T2 - Advanced Composites for Aerospace, Marine, and Land Applications - TMS 2014 143rd Annual Meeting and Exhibition
Y2 - 16 February 2014 through 20 February 2014
ER -