Industrial and Systems Engineering
Articles Information
Industrial and Systems Engineering, Vol.2, No.1, Jan. 2017, Pub. Date: Jun. 15, 2017
An Extensive Overview of Lamb Wave Technique for Detecting Fatigue Damage in Composite Structures
Pages: 1-20 Views: 36 Downloads: 16
[01] Wael A. Altabey, Southeast University, International Institute for Urban Systems Engineering, Nanjing, China; Department of Mechanical Engineering, Faculty of Engineering, Alexandria University, Alexandria, Egypt.
[02] Mohammad Noori, Southeast University, International Institute for Urban Systems Engineering, Nanjing, China; Department of Mechanical Engineering, California Polytechnic State University, San Luis Obispo, California, USA.
Lamb waves are guided waves and have many useful properties that can be exploited for non-destructive testing (NDT) and structural health monitoring (SHM) applications. Utilization of Lamb waves for these purposes have led to the development of some of the most promising methods and have resulted in numerous useful and practical applications over the past two decades. The major advantage of using Lamb waves has been their capability of propagating a relatively long distance in plate or shell structures, the ability to follow curvature and penetrate into hidden and buried parts, allowing the detection of faults between the layers of composite laminate structures. The wave structure depends on the frequency and phase velocity. Lamb waves are on the verge of maturity for diverse engineering applications. This emerging technique serves as an encouraging candidate for facilitating continuous and automated surveillance of the integrity of engineering structures in a cost-effective manner. Numerous studies of lamb wave based methodologies have been developed for damage detection in composite structures. In this paper we present an overview of lamb waves behavior, modeling and applications as well as their limitations for fatigue damage detection of composite structures. The focus of this study is on the application of Lamb waves combined with Artificial Neural Networks. Over the last decade, ANNs have been used as one of the most desirable methods for fatigue damage prediction of composite structures. A well-trained ANN can predict outcomes under an unknown stimulus based on pre-accumulated knowledge from a lamb waves sensing system, while avoiding interrogating intricate constitutive relations and save the time needed for this interrogation. An overview of some new developments in this regard is presented.
Lamb Wave Technique, Piezoelectric Transducers (PZTs), Fatigue Damage Detection, Composite Structures, Artificial Neural Networks (ANNs)
[01] Farrar C. R. and Worden K., An introduction to structural health monitoring. Phil. Trans. Royal society publishing A, 365, 303-315, 2007.
[02] Diamanti K. and Soutis C., Structural health monitoring techniques for aircraft composite structures, Progress in Aerospace Sciences, 46, 342-352, 2010.
[03] Santoni G., Fundamental Studies in the LAMB-WAVE Interaction BETWEEN Piezoelectric Wafer Active Sensor and Host Structure During Structural Health Monitoring, PHD thesis, College of Engineering and Information Technology, University of South Carolina, 2010.
[04] Vizzini A. G., Damage Detection in Blade-Stiffened Anisotropic Composite Panels Using Lamb Wave Mode Conversions, Master thesis, Arizona State University, 2012.
[05] Su Z., Ye L., and Lu Y., Guided Lamb waves for identification of damage in composite structures: A review, J. Sound and Vibration, 295, 753-780, 2006.
[06] Al-Tabey W. A., The Fatigue Behavior of Woven-roving Glass Fiber Reinforced Epoxy under Combined Bending Moments and Internal hydrostatic Pressure, PhD Thesis, Alexandria University, Egypt, 2015.
[07] Appropedia, Composites in the Aircraft Industry,
[08] Bannantine J. A., Comer J. J. and Handrock J. L., Fundamentals of Metal Fatigue Analysis. Prentice Hall, 1990.
[09] Talreja R., Damage and fatigue in composites – a personal account, J. Compostes Sci Technology, 68, 2585–2591, 2008.
[10] Talreja R., Damage and fatigue in composites – a personal account, J. Compostes Sci Technology, 68, 2585–2591, 2008.
[11] Schulte K., Baron C., and Neubert N., Damage Development in Carbon Fibre Epoxy Laminates: Cyclic Loading, J. Advanced Materials Research and Developments for Transport, 281-288, 1985.
[12] Reifsnider K. L., Schulte K., and Duke J. C., Long-term fatigue behavior of composite materials, long-term behavior of composites, ASTM STP 813, American Society for Testing and Materials, 136–139, 1983.
[13] Nairn J. A., and Hu S., The initiation and growth of delaminations induced by matrix microcracks in laminated composites, Int. J. Fracture, 57, 1–24, 1992.
[14] Quaresimin M., and Susmel L., Multiaxial fatigue behaviour of composite laminates, J. Key Engineering Materials, 221-222, 71–80, 2002.
[15] Adden S., and Horst P., Stiffness degradation under fatigue in multiaxially loaded non-crimped-fabrics, Int. J. Fatigue, 32 (1), 108–122, 2010.
[16] Gude M., Hufenbach W., Koch I., and Protz R., Fatigue failure criteria and degradation rules for composites under multiaxial loading, J. Mechanics Composite Materials, 42(5), 443–450, 2006.
[17] Guedes R. M., Creep and Fatigue in Polymer Matrix Composites, Wood head Publishing Series in Composites Science and Engineering, Wood head Publishing, 366-405, 2011.
[18] Wu F., and Yao W., A fatigue damage model of composite materials, Int. J. Fatigue, 32, 134–138, 2010.
[19] Ferreira J., Reis P., Costa J., and Richardson M., Fatigue behaviour of Kevlar composites with nanoclay-filled epoxy resin, J. Composite Materials, 47(15), 1885–1895, 2012.
[20] Schulte K., Reese E., and Chou T. W., Fatigue Behaviour and Damage Development in Woven Fabric and Hybrid Fabric Composites. Proceedings of Sixth International Conference on Composite Materials (ICCM-VI) & Second European Conference on Composite Materials (ECCM-II), 89-99, 1987.
[21] Fujii T., Amijima S., and Okubo K., Microscopic Fatigue Processes in a Plain-Weave Glass-Fibre Composite, J. Composites Science and Technology, 49, 327-333, 1993.
[22] Xiao J., Bathias C., Fatigue Damage and Fracture Mechanism of Notched Woven Laminates. J. Composite Materials, 28, 1127-1139, 1994.
[23] Lye S. W. and Boey F. Y. C., Development of a low-cost prototype filament-winding system for composite components. J. Materials Processing Technology, 52(2-4), 570-584, 1995.
[24] Dharan C. K. H., Fatigue failure in graphite fibre and glass fibre-polymer composites, J. Materials Science 10, 1665-1670, 1975.
[25] Dharan, C. K. H., The Fatigue Behavior of Fiber-Reinforced Polymers and Advanced Composites, ASME Design Engineering Conference, ASME Paper No. 77-DE-41, American Society of Mechanical Engineers (Paper), New York, 1977.
[26] Talreja R., Fatigue damage mechanisms, Chapter (2), Modeling Damage, Fatigue and Failure of Composite Materials, Talreja R., and Varna J., A volume in Woodhead Publishing Series in Composites Science and Engineering, (ISBN: 978-1-78242-286-0), 2016.
[27] Duggan T. V., and Byrne J., Fatigue as a Design Criterion, McMillan Press Ltd., (ISBN: 0-333-21488-9), 1977.
[28] Kim H. C., and Ebert L. J., Axial Fatigue Failure Sequence and Mechanisms in Unidirectional Fiber glass Composite, J. Composite Material, 12, 139-152, 1978.
[29] Ellyin F. and Kujawski D., Fatigue testing and life prediction of fiber glass-reinforced composites. In: Neale K. W. and Labossière P. (eds.), First International Conference on Advanced Composite Materials in Bridges and Structures (ACMBS-I), Sherbrooke, Québec, Canada, Canadian Society for Civil Engineering, 111-118, 1992.
[30] Kujawski D. and Ellyin F., Rate/Frequency-Dependent behaviour of fiberglass/epoxy laminates in Tensile and cyclic Loading, Journal of Composites, 26(10), 719-723, 1995.
[31] Lee B. L. and Liu D. S., Cumulative Damage of Fiber-Reinforced Elastomer Composites Under Fatigue Loading, Journal of Composite Materials, 28(13), 1261-1286, 1994.
[32] Chamis C. C., Mechanics of Load Transfer at the Fiber/Matrix Interface, NASA TN D-6588, February 1972.
[33] Soden P. D., Kitching R., Tse P. C., Tsavalas Y. and Hinton M. J., Influence of winding angle on the strength and deformation of filament-wound composite tubes subjected to uniaxial and biaxial loads, Journal of Composites Science and Technology, 1993, 46(4), pp. 363-378.
[34] Keck S. and Fulland M., Effect of fibre volume fraction and fibre direction on crack paths in flax fibre reinforced composites, in press, J. Engineering Fracture Mechanics, Available online 13 April 2016.
[35] Ghamarian N., Hanim M. A., Penjumras P. and Majid D. L., Effect of Fiber Orientation on the Mechanical Properties of Laminated Polymer Composites, Reference Module in Materials Science and Materials Engineering, Current as of 22 July 2016.
[36] Chawla N., Liaw P. K., LaraCurzio E., Ferber M. K. and Lowden R. A., Effect of fiber fabric orientation on the flexural monotonic and fatigue behavior of 2D woven ceramic matrix composites, J. Materials Science and Engineering: A, 557(15),77–83, 2012.
[37] El Kadi H., and Ellyin F., Effect of Stress Ratio on the Fatigue of Unidirectional Fibre glass-Epoxy Composite Laminae, Journal of Composite Material, 25(10), 917-924, 1994.
[38] Fujii T., Shiina T. and Okubo K., Fatigue Notched Sensitivity of Glass Woven Fibric Composites Having A Circular Hole Under Tension/Torsion Biaxial Loading, Journal of composite Materials, 28, 234-251, 1994.
[39] Athijayamani A., Thiruchitrambalam M., Natarajan U. and Pazhanivel B., Effect of moisture absorption on the mechanical properties of randomly oriented natural fibers/polyester hybrid composite, Journal of Materials Science and Engineering A, 2009, 517, pp. 344–353.
[40] Merah N., Nizamuddin S., Khan Z. and Al-Sulaiman F, Effects of harsh weather and seawater on glass fiber reinforced epoxy composite, Journal of Reinforced Plastics and Composites, 2010, 29(20), pp. 3104–3110.
[41] Kaynak C. and Mat O., Uniaxial fatigue behavior of filament-wound glass-fiber/epoxy composite tubes, Journal of Composites Science and Technology, 2001, 61(13), pp. 1833-1840.
[42] Wisnom M. R., Size Effects in Composites, Reference Module in Materials Science and Materials Engineering, Current as of 28 October 2015.
[43] Duggan T. V. and Byrne J., Fatigue as a Design Criterion, McMillan Press Ltd., 1977 (ISBN: 0-333-21488-9).
[44] Subramanian S., Elmore I. S., Stinchcomb W. W. and Reifsnider K. L., Influence of Fiber–Matrix Interphase on the long-Term Behavior of graphite/Epoxy Composite, In: Deo R. B., Saff C. R., editors, Composite material: Testing and Designe. ASTM STP 1274, American Society for Testing and Materials, 12, 69-87, 1996.
[45] Hochard Ch., Miot St. and Thollon Y., Fatigue of laminated composite structures with stress concentrations, J. Composites Part B: Engineering, 65, 11–16, 2014.
[46] Sims D. F., and Brogdon V. H., Fatigue Behavior of Composites under Different Loading Modes, Fatigue of Filamentary Materials, ASTM STP 636, K L Reifsnider and K N Lauraitis, Eds., 185–205, 1977.
[47] Hahn H. T., Fatigue behavior and life prediction of composite laminates, Composite Materials: Testing and Design (Fifth Conference), ASTM STP 674, Tsai S. W., Ed., 383–417, 1979.
[48] Hashin Z., Fatigue failure criteria for unidirectional fiber composites, J. Applied Mechanics, 48, 846–852, 1981.
[49] Hashin Z., Fatigue failure criteria for combined cyclic stress, Int. J. Fracture, 17(2), 101–109, 1981.
[50] Tennyson R. C., Hansen J. S., Heppler G. R., Mabson G., Wharram G., and Street K. N., Computation of influence of defects on static and fatigue strength of composites, AGARD-CP- 355, 14-17, 1983.
[51] Wu C. M. L., Thermal and mechanical fatigue analysis of angle-ply CFRP laminates, Second International Composites Conference and Exhibition, Ottawa, Ontario, Canada, 631–638, 1993.
[52] Rytter A., Vibration Based Inspection of Civil Engineering Structures, PhD, Aalborg University, Denmark, 1993.
[53] Uhl T., and Mendrok K., Overview of Modal Model based Damage Detection Methods, Proceedings of the International Conference on Noise and Vibration Engineering (ISMA 2004), Leuven, Belgium, 361-375, 2004.
[54] Amaro A. M., Santos J. B., and Cirne J. S., Delamination Depth in Composites Laminates with Interface Elements and Ultrasound Analysis, J. strain, 47, 138–145, 2011.
[55] ZengHua L., HongTao Y., CunFu H., and Bin W., Delamination damage detection of laminated composite beams using air-coupled ultrasonic transducers, J. Physics, Mechanics & Astronomy, 56 (7), 1269–1279, 2013.
[56] Alem B., and Abedian A., Fatigue Damage Detection in Large Thin Wall Plate Based on Ultrasonic Guided Wave by Using a piezoelectric Sensor Network, 29th Congress of the International Council of the Aeronautical Sciences, St. Petersburg, Russia, September 7-12, 2014.
[57] Liu Z., Yu H., He C., and Wu B., Delamination detection in composite beams using pure Lamb mode generated by air-coupled ultrasonic transducer, J. Intelligent Material Systems and Structures, 25(5), 541–550, 2014.
[58] Park B., An Y., and Sohn H., Visualization of hidden delamination and debonding in composites through noncontact laser ultrasonic scanning, J. Composites Science and Technology, 100 (21), 10–18, 2014.
[59] Kersemans M., Martens A., Degrieck J., Abeele K. V. D., Delrue S., Pyl L., Zastavnik F., Sol H. and Paepegem W. V., The Ultrasonic Polar Scan for Composite Characterization and Damage Assessment Past- Present and Future, J. Applied Sciences, 58(6), 1-15, 2015.
[60] Lissenden C. J., Liu Y., and Rose J. L., Use of non-linear ultrasonic guided waves for early damage detection, Insight - Non-Destructive Testing and Condition Monitoring, 57(4) 2015.
[61] De Albuquerque V. C., Tavares J. R. S., and Durão L. M. P., Evaluation of Delamination Damage on Composite Plates using an Artificial Neural Network for the Radiographic Image Analysis, J. Composite Materials, 44 (9), 1139–1159, 2010.
[62] Tompson C. G., and Johnson W. S., Determination of the nontraditional lay-up influence and loading configuration on fatigue damage development under bearing-bypass loading conditions using radiography, J. Composite Materials, 45(22), 2259–2269, 2011.
[63] Aidi B., Philen M. K., and Case S. W., Progressive damage assessment of centrally notched composite specimens in fatigue, J. Composites: Part A, 74, 47–59, 2015.
[64] Jespersen K. M., Lowe T., Withers P. J., Zangenberg J., and Mikkelsen L. P., Micromechanical Time-Lapse X-ray CT Study of Fatigue Damage in Uni-Directional Fibre Composites, 20th International Conference on Composite Materials Copenhagen, 19-24 July 2015.
[65] Szwedo M., Bednarz J., Paćko P., Pieczonka Ł., and Uhl T., Approach to thermographical damage detection in composite plates, chapter, Selected problems of modal analysis of mechanical systems, Tadeusz U., Publishing House of the Institute for Sustainable Technologies – National Research Institute (ITeE-PIB), 2009.
[66] Kêdziora P., Detection of Interlinear Cracks in Composite Structures with the Use of Piezoelectric Sensors and Thermography, III ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Corfu, Greece, 25-28 May 2011.
[67] Colombo C., Libonati F. and Vergani L., Fatigue damage in GFRP, Int. J. Structural Integrity, 3 (4), 424-440, 2012.
[68] Toscano C., Riccio A., Camerlingo F., and Meola C., Lock in thermography to monitor propagation of delamination in CFRP composites during compression tests, 11th International Conference on Quantitative InfraRed Thermography, Naples, Italy, 11-14 June 2012.
[69] Schmutzler H., Alder M., Kosmann N., Wittich H., and Schulte K., Degradation monitoring of impact damaged carbon fibre reinforced polymers under fatigue loading with pulse phase thermography, J. Composites: Part B, 59, 221–229, 2014.
[70] Davijani A. A. B., Hajikhani M., and Ahmadi M., Acoustic Emission based on sentry function to monitor the initiation of delamination in composite materials, J. Materials and Design, 32, 3059–3065, 2011.
[71] Jr F. A., Ozevin D., Awerbuch J. and Tan T., Detecting and locating damage initiation and progression in full-scale sandwich composite fuselage panels using acoustic emission, J. Composite Materials, 0(0), 1–22, 2012.
[72] Assarar M., Bentahar M., El Mahi A. and El Guerjouma R., Monitoring of damage mechanisms in sandwich composite materials using acoustic emission, Int. J. Damage Mechanics, 0(0), 1–18, 2014.
[73] Saeedifar M., Fotouhi M., Najafabadi M. A., and Toudeshky H. H., Prediction of delamination growth in laminated composites using acoustic emission and Cohesive Zone Modeling techniques, J. Composite Structures, 124, 120–127, 2015.
[74] Saeedifar M., Fotouhi M., Najafabadi M. A., Toudeshky H. H., and Minak G., Prediction of quasi-static delamination onset and growth in laminated composites by acoustic emission, J. Composites Part B: Engineering, 85, 113–122, 2016.
[75] Lakhdar M., Mohammed D., Boudjemâa L., Rabiâ A., and Bachir M., Damages detection in a composite structure by vibration analysis, TerraGreen 13 International Conference 2013 - Advancements in Renewable Energy and Clean Environment, Energy Procedia, 36, 888 – 897, 2013.
[76] Waghulde K. B., and Kumar B., Vibration Analysis for Damage Detection in Composite Plate by Using Piezoelectric Sensors, Int. J. Mechanical Engineering and Technology (IJMET), 5 (12), 27-35, 2014.
[77] Garcia D., Palazzetti R., Trendafilova I., Fiorini C., and Zucchelli A., Vibration-based delamination diagnosis and modelling for composite laminate plates, J. Composite Structures, 130, 155–162, 2015.
[78] Habtour E., Cole D. P., Riddick J. C., Weiss V., Robeson M., Sridharan R., and Dasgupta A., Detection of fatigue damage precursor using a nonlinear vibration approach, J. Structure Control Health Monitoring, DOI: 10.1002/stc.1844, 2016.
[79] Heuer H., Schulze M. H. and Meyendorf N., Non-destructive evaluation (NDE) of composites: eddy current techniques, Chapter (3), Non-Destructive Evaluation (NDE) of Polymer Matrix Composites, (ISBN: 978-0-85709-344-8), 2013.
[80] Kuang K., and Cantwell W., Use of conventional optical fibers and fiber Bragg gratings for damage detection in advanced composite structures: A review, J. American Society of Mechanical Engineers, Applied Mechanics Review, 56 (5), 493- 513, 2003.
[81] Takeda N., Okabe Y., and Mizutani T., Damage detection in composites using optical fibre sensors, J. Aerospace Engineering Part G, 221, 221: 497, 2007.
[82] Peng Q., Zhang X., Huang C., Carter E. A., and Lu G., Hierarchical fiber-optic delamination detection system for carbon fiber reinforced plastic structures, J. Modelling Simulation Materials Science and Engineering, 18, 1-14, 2012.
[83] Zuluaga-Ramírez P., Arconada Á., Frövel M., Belenguer T., and Salazar F., Optical Sensing of the Fatigue Damage State of CFRP under Realistic Aeronautical Load Sequences, J. Sensors, 15, 5710-5721, 2015.
[84] Dayal V., and Kinra V. K., Leaky Lamb waves in an anisotropic plate. II- Nondestructive evaluation of matrix cracks in fiber-reinforced composites, J. Acoustic society, 89 (4), 1590-1598, 1991.
[85] Kessler S. S., Spearing S. M. and Soutis C., Damage detection in composite materials using Lamb wave methods, J. Smart Material Structure, 11, 269–278, 2002.
[86] Yashiro S., Takatsubo J., and Toyama N., An NDT technique for composite structures using visualized Lamb-wave propagation, J. Composites Science and Technology, 67, 3202–3208, 2007.
[87] Hu N., Liu Y., Li Y., Peng X., and Yan B., Optimal Excitation Frequency of Lamb Waves for Delamination Detection in CFRP Laminates, J. Composite Materials, 44, (13), 2010.
[88] Yeum C. M., Sohn H., Ihn J. B., and H. J., Delamination Detection in a Composite Plate using a Dual Piezoelectric Transducer Network, J. Composite Structures, 94, 3490–3499, 2012.
[89] Gopalakrishnan S., Lamb Wave Propagation in Laminated Composite Structures, J. the Indian Institute of Science, 93 (4), 699-713, 2013.
[90] Yeum C. M., Sohn H., Lim H. J., and Ihn J. B., Reference-free delamination detection using Lamb waves, J. Structure Control Health Monitoring, 21, 675–684, 2014.
[91] Keulen C. J., Yildiz M., and Suleman A., Damage Detection of Composite Plates by Lamb Wave Ultrasonic Tomography with a Sparse Hexagonal Network Using Damage Progression Trends, J. Shock and Vibration, 1-8, 2014.
[92] Spiegel M. D., Damage Detection in Composite Materials Using PZT Actuators and Sensors for Structural Health Monitoring, Master, Department of Electrical and Computer Engineering, University of Alabama, 2014.
[93] Qiao P., and Fan W., Lamb wave-based damage imaging method for damage detection of rectangular composite plates, J. Structural Monitoring and Maintenance,1 (4), 411-425, 2014.
[94] Shen Y., and Giurgiutiu V., Combined analytical FEM approach for efficient simulation of Lamb wave damage detection, J. Ultrasonics, 69, 116–128, 2016.
[95] Mouritz A. P., Non-destructive evaluation of damage accumulation, Chapter (8), Fatigue in Composites, Harris B., A volume in Woodhead Publishing Series in Composites Science and Engineering, (ISBN: 978-1-85573-608-5), 2003.
[96] Su Z., Ye L., and Lu Y., Guided Lamb waves for identification of damage in composite structures: A review, J. Sound and Vibration, 295, 753-780, 2006.
[97] Chimenti D. E., Guided waves in plates and their use in materials characterization, J. Applied Mechanics Reviews, 50, 47–284, 1997.
[98] Worlton D. C., Experimental confirmation of Lamb waves at megacycle frequencies, J. Applied Physics, 32, 967–971, 1961.
[99] Saravanos D. A. and Birman V., Detection of Delaminations in Composite Beams using Piezoelectric Sensors, Proceedings of the 35th Structures, Structural Dynamics and Materials Conference of the AIAA, 1994.
[100] Percival W. J., Birt E. A., A Study of Lamb Wave Propagation in Carbon-Fibre Composites, J. Non Destructive Testing and Condition Monitoring 39, 728-735, 1997.
[101] Seale M. D. and Smith B. T., Lamb Wave Assessment of Fatigue and Thermal Damage in Composites, J. Acoustic Society of America 103, 2416-2424, 1998.
[102] Tang B. and Henneke E. G., Lamb Wave Monitoring of Axial Stiffness Reduction of Laminated Composite Plates, J. Materials Evaluation, 47, 928-934, 1989.
[103] Alleyne D. N., and Cawley P., The Interaction of Lamb Waves with Defects, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 39(3), 381-397, 1992.
[104] Saravanos D. A., Birman V., and Hopkins D. A., Detection of Delaminations in Composite Beams using Piezoelectric Sensors, Proceedings of the 31st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, 181-191, 1994.
[105] Kessler S. S., Spearing S. M., and Atalla M. J., In-Situ Damage Detection of Composites Structures using Lamb Waves Methods, Proceedings of the 1st European Workshop on Structural Health Monitoring, Ecole Noemale Supérieure, Cachan, Paris, France, 374-381, 2002.
[106] Su Z., Ye L., and Bu X., Evaluation of Delamination in Laminated Composites based on Lamb Waves Methods: FEM Simulation and Experimental Verification, Proceedings of the 1st European Workshop on Structural Health Monitoring, Ecole Noemale Supérieure, Cachan, Paris, France, 328-335, 2002.
[107] Lee B. C., and Staszewski W. J., Modelling of Acousto-ultrasonic Wave Interaction with Defects in Metallic Structures, Proceedings of the International Conference on Noise and Vibration Engineering (ISMA 2002), Leuven, Belgium, 319-327, 2002.
[108] Ricci F., Banerjee S., and Mal A. K., Health Monitoring of Composite Structures using Wave Propagation Data, Proceedings of the 2nd European Workshop on Structural Health Monitoring, Forum am Deutschen Museum, Munich, Germany, 1035-1042, 2004.
[109] Toyama N., and Okabe T., Effects of Tensile Strain and Transverse Cracks on Lamb-Wave Velocity in Cross-Ply FRP Laminates, J. Materials Science, 39, 7365-7367, 2004.
[110] Sundararaman S., Adams, D. E., and Rigas E. J., Characterizing Damage in Plates through Beamforming with Sensor Arrays, Proceedings of the 23rd International Modal Analysis Conference (IMAC XXIII), Orlando, Florida, USA, paper no. 249, 2005.
[111] Kim B. H., Stubbs N., and Park T., Flexural Damage Index Equations of a Plate, J. Sound and Vibration, 283, 341-368, 2005.
[112] Harri K., Guillaume P., and Vanlanduit S., On-line Damage Detection on a Wing Panel using Transmission of Multisine Ultrasonic Waves, J. NDT & E International, 41(4), 312-317, 2008.
[113] Hurlebaus S., Niethammer M., and Jacobs L. J., Automated methodology to locate notches with lamb waves, J. Acoustics Research Letters Online, Acoustical Society of America, 2(4), 97-102, 2001.
[114] Jeong H., Analysis of plate wave propagation in anisotropic laminates using a wavelet transform, J. NDT&E International, 34, 185-190, 2001.
[115] Su Z., and Ye L., Identification of damage using lamb waves: from fundamentals to applications, Springer-Verlag Berlin Heidelberg, 2009.
[116] Su Z., Ye L., and Lu Y., Guided lamb waves for identification of damage in composite structures: A review, J. Sound and Vibration, 295,753-780, 2006.
[117] Baid H. K., Detection of Damage in a Composite Structure Using Guided Waves, PHD, Mechanical Engineering, University of California, Los Angeles, 2012.
[118] Ratassepp M. and Klauson A., Curvature effects on wave propagation in an infinite pipe, ULTRAGARSAS, 59(2)-19-25, 2006.
[119] Chakraborty A., Encyclopedia of Structural Health Monitoring, Chapter (49), Modeling of Lamb waves in composite structures, John Wiley & Sons, 923-939, 2009.
[120] Nayfeh A., and Chimenti D., Free wave propagation in plates of general anisotropic media, J. Applied Mechanics, 56(4), 881-886, 1989.
[121] Lowe M. J. S., Matrix techniques for modeling ultrasonic waves in multilayered media, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 42(4), 525-542, 1995.
[122] Nayfeh A. H., Wave propagation in layered anisotropic media with applications to composites, Elsevier Science B. V., 1995.
[123] Alleyne D. N., and Cawley P., A 2-dimensional fourier transform method for the quantitative measurement of lamb modes, Proceedings of IEEE Ultrasonics Symposium, 2, 1143-1146, 1990.
[124] Hayward G, and Hyslop J., Determination of lamb wave dispersion data in lossy anisotropic plates using time domain finite element analysis, part I: Theory and experimental verification, IEEE Transactions On Ultrasonics, Ferroelectrics, And Frequency Control, 53(2), 443-448, 2006.
[125] Toyama N., and Takatsubo J., Lamb wave method for quick inspection of impactinduced delamination in composite laminates, J. Composites Science and Technology, 64, 1293-1300, 2004.
[126] Schulz M. J., Pai P. F., and Inman D. J., Health monitoring and active control of composite structures using piezoceramic patches, J. Composites: Part B, 30, 713-725, 1999.
[127] Ditri J. J., and Rajana K., An experimental study of the angular dependence of lamb wave excitation amplitudes, J. Sound and Vibration, 204(5), 755-768, 1997.
[128] Schmidt D., Heinze C., Hillger W., Szewieczek A., Sinapius M., and Wierach P., Design of mode selective actuators for lamb wave excitation in composite plates, Proceedings of SPIE, 7984, 798409, 2011.
[129] Koh Y. L., Chiu W. K., and Rajic N., Effects of local stiffness changes and delamination on lamb wave transmission using surface-mounted piezoelectric transducers, J. Composite Structures, 57, 437-443, 2002.
[130] Williams R. B., Park G., Inman D. J., and Wilkie W. K., An overview of composite actuators with piezoceramic fibers, Proceedings of SPIE, 4753, 2002.
[131] Akdogan E. K., Allahverdi M., and Safari A., Piezoelectric composites for sensor and actuator applications, IEEE Transactions On Ultrasonics, Ferroelectrics, And Frequency Control, 52(5), 746-775, 2005.
[132] Kim Y. H., Kim D. H., Han J. H., and Kim C. G., Damage assessment in layered composites using spectral analysis and lamb wave, Composites: Part B, 38, 800- 809, 2007.
[133] Paget C. A., Grondel S., Levin K., and Delebarre C., Damage assessment in composites by lamb waves and wavelet coefficients, Smart Materials and Structures, 12, 393-402, 2003.
[134] Zhao X., Zhang G., Gao H., Ayhan B., Yan F., Kwan C., and Rose J. L., Active health monitoring of an aircraft wing with embedded piezoelectric sensor/actuator network: I. defect detection, localization and growth monitoring, J. Smart Materials and Structures, 16, 1208-1217, 2007.
[135] Jha R., and Watkins R., Lamb wave based diagnostics of composite plates using a modified time reversal method, Proceeding of 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Palm Springs, California, 4 - 7 May 2009.
[136] Lu Y., Wang X., Tang J., and Ding Y., Damage detection using piezoelectric transducers and the lamb wave approach: Ii, robust and quantitative decision making, J. Smart Matererials and Structures, 17, 1-13, 2008.
[137] Ng C. T. and Veidt M., A lamb-wave-based technique for damage detection in composite laminates, J. Smart Materials and Structures, 18, 1-12, 2009.
[138] Su Z. and Ye L., A fast damage locating approach using digital damage fingerprints extracted from lamb wave signals. J. Smart Materials and Structures, 14, 1047-1054, 2005.
[139] Aitkenhead M. J., and McDonald A. J. S., A neural network face recognition system, J. Engineering Applications of Artificial Intelligence, 16, 167-176, 2003.
[140] Wang L. and Yuan F. G., Active damage localization technique based on energy propagation of lamb waves, J. Smart Structures and Systems, 3(2), 201-217, 2007.
[141] Dreyfus, H. L, What computers can't do—the limits of artificial intelligence. New York: Harper and Row, 1979.
[142] Fukushima, K., A neural network for visual pattern recognition. Computer 21, 65–75, 1988.
[143] Baxt WG., Use of an artificial neural network for the diagnosis of myocardial infarction. Annals of Internal Medicine, 115(11), 843–8, 1991.
[144] Astion M. L., Wener M. H., Thomas R. G., Hunder G. G. and Bloch D. A., Application of neural networks to the classification of giant cell arteritis. Arthritis and Rheumatism, 37(5), 760–70, 1994.
[145] Wong F. S., A 3D neural network for business forecasting. Proceedings of the 24th Annual Hawaii International Conference on Systems Sciences, 4, 113–123, 1991.
[146] Widrow B., Rumelhart D. E. and Lehr M. A., Neural networks: applications in industry, business and science. Communications of the ACM 37(3), 93–105, 1994.
[147] Jensen H., Using Neural Networks for Credit Scoring, Managerial Finance, 15-26, 1992.
[148] Refenes A. P., Neural Networks in the Capital Markets, Wiley, 1995.
[149] Bose, N. K. and Liang P., Neural network fundamentals with graphs, algorithms, and applications. McGraw-Hill, 1996.
[150] Hagan M. T., Demuth, H. B. and De Jesús O., An introduction to the use of neural networks in control systems. International Journal of Robust and Nonlinear Control, 12(11), 959 – 985, 2002.
[151] Howard S., Neural networks in electrical engineering. Proceedings of the ASEE New England Section 2006 Annual Conference (Session 1A - Electrical & Computer Engineering).
[152] Pirdashti M., Curteanu S., Kamangar M. H. and Khatami M. A., Artificial neural networks: Applications in chemical engineering, Reviews in Chemical Engineering 24(9), 205-239, 2013.
[153] Kamble B. C., Speech Recognition Using Artificial Neural Network– A Review, Int'l Journal of Computing, Communications & Instrumentation Engg. (IJCCIE), 3(1), 1-4, 2016.
[154] Wouter G., Georgi T. and Valeri M., Neural Network used for Speech Recognition, Journal of Automatic Control, University of Belgrade, 20, 1-7, 2010.
[155] Yashwanth H., Harish M. and Suman D., Automatic Speech recognition Using Audio Visual Cues, IEEE India Annual Conferencec pp. 166-169, 2004.
[156] Ozyilmaz, L. and Yildirim T., Artificial neural networks for diagnosis of hepatitis disease, Proceedings of the International Joint Conference on Neural Networks, 1, 586 - 589, 20-24, 2003.
[157] Aleksander I. and Morton H., An introduction to neural computing. Int Thomson Comput Press, London, 1995.
[158] Aitkenhead M. J. and McDonald A. J. S., A neural network face recognition system, Engineering Applications of Artificial Intelligence, 2003.
[159] Alippi C., Real-time analysis of ships in radar images with neural networks, Pattern Recognition, 1995.
[160] Anwar M. and Farzin D., Neural networks for the classification of image texture, Engineering Applications of Artificial Intelligence, Neural Networks, 1994.
[161] Saadat, S., Noori, M., and Buckner, G., T. Furukawa and Y. Suzuki “Structural health monitoring and damage detection using an intelligent parameter varying (IPV) technique", International Journal of Nonlinear Mechanics, Volume 39, No. 10, pp 1687-1697, 2004.
[162] Saadat, S., Buckner, G., Noori, M., “Structural System Identification and Damage Detection Using the IPV Technique: An Experimental Study,” Structural Health Monitoring; vol. 6:3, pp. 231-243, 2007
[163] Hen Y. and Hwang JN., Handbook of Neural Network Signal Processing, CRC press, Boca Raton, 2001.
[164] Hanagud S., and Luo H., Damage Detection and Health Monitoring based on Structural Dynamics, Structural Health Monitoring, Current Status and Perspectives, Stanford University, Palo Alto, California, USA, 715-726, 1997.
[165] Luo H., and Hanagud S., Dynamic Learning Rate Neural Network Training and Composite Structural Damage Detection, AIAA Journal, 35(9), 1522-1527, 1997.
[166] Krawczuk M., Ostachowicz W., and Kawiecki G., Detection of Delaminations in Cantilevered Beams using Soft Computing Methods, Proceedings of the European COST F3 Conference on System Identification and Structural Health Monitoring, Madrid, Spain, 243-252, 2000.
[167] Messina A., Jones I. A., and Williams E. J., Damage Detection and Localization using Natural Frequency Changes, Proceedings of the 1st Conference on Identification, Cambridge, England, UK, 67-76, 1992.
[168] Hatem T. M., Foutouh M. N. A., and Negm H. M., Application of Genetic Algorithms and Neural Networks to Health Monitoring of Composite Structures, Proceedings of the 2nd European Workshop on Structural Health Monitoring, Forum am Deutschen Museum, Munich, Germany, 616-623, 2004.
[169] Zheng D., Low Velocity Impact Analysis of Composite Laminated Plates, PhD Thesis, Graduate Faculty of the University of Akron, USA, 2007.
[170] Haj-Ali R. M., Pecknold D. A., Ghaboussi J., and Voyiadjis G. Z., Simulated micromechanical models using artificial neural networks, J. Engineering Mechanics, 127 (7), 730–738, 2001.
[171] Chakraborty D., Artificial neural network based delamination prediction in laminated composites, J. Materials and Design, 26, 1–7, 2005.
[172] Roseiro L., Ramos U., and Leal R., Neural Networks in Damage Detection of Composite Laminated Plates, Proceedings of the 6th WSEAS International Conference on Neural Networks, Lisbon, Portugal, 115-119, June 16-18, 2005.
[173] Karnik S. R., Gaitonde V. N., Rubio J. C., Correia E., Abrão A. M. and Davim J. P., Delamination analysis in high speed drilling of carbon fibre reinforced plastics (CFRP) using artificial neural network model, Materials and Design, 29 (9), 1768–1776, 2008.
[174] Altabey W. A. and Noori M., Fatigue life prediction for carbon fiber/epoxy laminate composites under spectrum loading using two different neural network architectures, Accepted, Int. J. Sustainable Materials and Structural Systems, 2017.
[175] Zhao Y., Noori M., Altabey W. A. and Lu N., Reliab
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