Issue 46

V. E. Wildemann et alii, Frattura ed Integrità Strutturale, 46 (2018) 295-305; DOI: 10.3221/IGF-ESIS.46.27 305 [11] Tserpes, K.I., Karachalios, V., Giannopoulos, I., Prentzias, V. and Ruzek, R. (2014). Strain and damage monitoring in CFRP fuselage panels using fiber Bragg grating sensors, Part I: Design, manufacturing and impact testing, Composite Structures, 107, pp. 726-736. DOI: 10.1016/j.compstruct.2013.09.053. [12] Pratik, S., Jin-Hyuk, K., Yurim, P. and Chun-Gon, K. (2015). Impact Localization on Composite Wing using 1D Array FBG Sensor and RMS, Correlation Based Reference Database Algorithm, Composite Structures, 125, pp. 159-169. DOI: 10.1016/j.compstruct.2015.01.029. [13] Sang-Woo, K., Eun-Ho, K., Min-Soo, J. and In, L., (2015). Damage evaluation and strain monitoring for composite cylinders using tin-coated FBG sensors under low-velocity impacts, Composites Part B: Engineering, 74, pp. 13-22. DOI: 10.1016/j.compositesb.2015.01.004. [14] Anoshkin, A. N., Voronkov, A. A., Kosheleva, N. A., Matveenko, V. P., Serovaev, G. S., Spaskova, E. M., Shardakov, I. N. and Shipunov, G. S. (2017). Measurement of Inhomogeneous Strain Fields by Fiber Optic Sensors Embedded in a Polymer Composite Material, Mechanics of Solids, 51(5), pp. 542-549. DOI: 10.3103/S0025654416050058. [15] Lobanov, D.S., Shipunov, G.S. and Voronkov, A.A. (2017). Evaluation of the operability and expediency of using fiber- optical sensors embedded in a composite material at elevated temperatures, Bulletin of the Perm National Research Polytechnic University. Aerospace engineering, 50, pp. 36-45. DOI: 10.15593/2224-9982/2017.50.04 (in Russian). [16] Kosheleva, N.A., Shipunov, G.S., Voronkov, A.A., Merkusheva, N.P. and Tihonova, A.A. (2017). Determination of the stress-strain state fields of samples from a polymeric composite material using fiber optic sensors, Bulletin of the Perm National Research Polytechnic University. Aerospace engineering, 50, pp. 26-35. DOI: 10.15593/2224-9982/2017.50.03 (in Russian). [17] Korepanov, V. V., Serovaev, G. S. and Yurlova, N. A. (2016). Numerical Modelling of Layered Composite Materials With Embedded Optical Fiber Sensors, Solid State Phenomena, 243, pp. 83-88. DOI: 10.4028 /www.scientific.net/SSP.243.83. [18] Wildemann, V.E., Strungar, E.M., Lobanov, D.S. and Voronkov, A.A. (2018). Evaluation of the performance of fiber- optical sensors embedded in a composite material using data from a digital optical video system for analyzing deformations, Defectoskopiya. 1, pp. 65-71 (in Russian). [19] Pastuszak, P. D. (2016). Characterization of defects in curved composite structures using active infrared thermography, Procedia Engineering, 157, pp. 325 – 332. DOI: 10.1016/j.proeng.2016.08.373. [20] Elhajjar, R. F. and Shams, S. S. (2016). A new method for limit point determination in composite materials containing defects using image correlation, Composites Science and Technology, 122, pp. 140–148. DOI: 10.1016/j.compscitech.2015.11.026. [21] Johanson, K., Harper, L. T., Johnson, M. S. and Warrior, N. A. (2015). Heterogeneity of discontinuous carbon fibre composites: damage initiation captured by digital image correlation, Composites Part A: Applied Science Manufacturing, 68, pp. 304-312. DOI: 10.1016/j.compositesa.2014.10.014. [22] Wildemann, V. E., Spaskova, E. V. and Shilova, A. I. (2016). Research of the damage and failure processes of composite materials based on acoustic emission monitoring and method of digital image correlation, Solid State Phenomena, 243, pp. 163-170. DOI: 10.4028 /ww.scientific.net/SSP.243.163. [23] Tetyakova, T.V. and Wildemann, V.E. (2017). Influence the loading conditions and the stress concentrators on the spatial-time inhomogeneity due to the yield delay and the jerky flow: study by using the digital image correlation and the infrared analysis, Frattura ed Integrità Strutturale, 42, pp. 303-314. DOI: 10.3221/IGF-ESIS.42.32. [24] Fedorova, A.Y., Bannikov, M.V., Plekhov, O.A. and Plekhova, E.V. (2012). Infrared thermography study of the fatigue crack propagation, Frattura ed Integrita Strutturale, 21, pp. 46-53. DOI: 10.3221/IGF-ESIS.21.06. [25] Sutton, M.A., Orteu, J.-J. and Schreier, H. (2009). Image Correlation for Shape, Motion and Deformation Measurements, University of South Carolina, Columbia, SC, USA. DOI: 10.1007/978-0-387-78747-3. [26] Chulkov, A.O. and Vavilov, V.P. (2016). Hardware and Software for Thermal Nondestructive Testing of Metallic and Composite Materials, Journal of Physics: Conference Series, 671(1), 012011. DOI: 10.1088/1742-6596/671/1/012011.