[1]
Roy D N G and Couchman L S, 2002, Inverse Problems and Inverse Scattering of Plane Waves, Academic Press, London.
Google Scholar
[2]
G.R. Liu, Inverse Methods in Nondestructive Evaluation, CRC Press, (2003).
Google Scholar
[3]
Tenek L H and Henneke E G H, 1993, Flaw dynamics and vibro-thermographic thermoelastic NDE of advanced composite materials, Thermosense, G S Baird eds, SPIE, Proceedings, 1467 pp.252-263.
DOI: 10.1117/12.46440
Google Scholar
[4]
Han X, Farvo L D, Ouyang Z and Thomas R L, 2000, Recent Developments in Thermosonic Crack Detection, Annual Rev. Progress in Quantitative Nondestructive Evaluation, D O Thompson and D E Chimenti, America Institute of Physics, 21, pp.552-557.
Google Scholar
[5]
Naveen V Nair, Krishnan Balasubramaniam and Sarit K Das, A 2-D Inverse Heat Conduction Formulation For Determination Of Heat Source Characteristics From Thermal Images, Review of Quantitative Nondestructive Evaluation, American Institute of Physics, Vol. 23, ed. by D. O. Thompson and D. E. Chimenti, pp.453-60, (2004).
DOI: 10.1063/1.1711657
Google Scholar
[6]
Kim S K and W I Lee 2002, Solution of Inverse Heat Conduction Equation using Maximum Entropy Method, Intl. J. Heat and Mass Transfer, 45, pp.381-391.
DOI: 10.1016/s0017-9310(01)00155-7
Google Scholar
[7]
Muniz W B, Ramos F M and Decompose Velho H F, 2000, Entropy and Tikhonov Based Regularization Techniques Applied to the Backwards Heat Equation, Computers and Mathematics with Applications, 40, pp.1071-1084.
DOI: 10.1016/s0898-1221(00)85017-8
Google Scholar
[8]
Roy D N G and Couchman L S, 2002, Inverse Problems and Inverse Scattering of Plane Waves, Academic Press, London.
Google Scholar
[9]
Balasubramaniam, K., and N. S. Rao, Inversion of Composite Material Elastic Constants from Ultrasonic Bulk Wave Phase Velocity Data using Genetic Algorithms, Composites Part B: Engineering, Vol. 29(B), pp.171-180. (1998).
DOI: 10.1016/s1359-8368(97)00007-3
Google Scholar
[10]
Wheeler, E.S., R. King, and K. Balasubramaniam, An Artificial Neural Network as a Tool for the Inversion of Ultrasonic Dispersion Data for Material Characterization, Review of Progress in Quantitative Nondestructive Evaluation, Vol. 18B, pp.1265-1272, (1999).
DOI: 10.1007/978-1-4615-4791-4_162
Google Scholar
[11]
S.S.S. Reddy, Krishnan Balasubramaniam, C.V. Krishnamurthy, and M. Shankar, Ultrasonic goniometry immersion techniques for the measurement of elastic moduli,., Composite Structures, 67, 3-17, (2005).
DOI: 10.1016/j.compstruct.2004.01.008
Google Scholar
[12]
Balasubramaniam, K., Inversion of ply lay-up sequence for multi-layered fiber reinforced composite plates using Genetic Algorithm, Nondestr. Test. Eval., Vol. 15, pp.311-331. (1999).
DOI: 10.1080/10589759908952877
Google Scholar
[13]
Prabhu Rajagopala, Krishnan Balasubramaniam, Shankar Maddu, C.V. Krishnamurthy, A new approach to inversion of surface wave dispersion relation for determination of depth distribution of non-uniform stresses in elastic materials, International Journal of Solids and Structures, 42, 789-803, (2004).
DOI: 10.1016/j.ijsolstr.2004.06.066
Google Scholar
[14]
Prabhu Rajagopalan, Krishnan Balasubramaniam, Krishnamurthy C V, and M. Shankar, A Novel Inversion Algorithm for the Determination of Stress Gradients using Ultrasonic Raleigh Wave Dispersion, Review of Quantitative Nondestructive Evaluation, American Institute of Physics, Vol. 23, ed. by D. O. Thompson and D. E. Chimenti, pp.1200-07, (2004).
Google Scholar
[15]
Veeraraghavan Sundararaghavan, Krishnan Balasubramaniam, and Ramesh Babu A multifrequency eddy current inversion method for characterizing water jet peened aluminum alloys, Review of Quantitative Nondestructive Evaluation, American Institute of Physics, Vol. 23, ed. by D. O. Thompson and D. E. Chimenti, pp.651-58, (2004).
DOI: 10.1063/1.1711683
Google Scholar
[16]
Sundararaghavan, V., Balasubramaniam, K., Babu, N.R., Rajesh, N., A multi-frequency eddy current inversion method for characterizing conductivity gradients on water jet peened components, NDT and E International, 38 (7), Pages 541-547 (2005).
DOI: 10.1016/j.ndteint.2005.01.009
Google Scholar