A computational inverse technique for material characterization of a functionally graded cylinder using a progressive neural network

Neurocomputing

Volumn 51, Issue , 2003, Pages 341-360

  Han, Xu ^a   Xu, Dao Lin ^a   Liu, Giu Rong ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Character recognition; Elastic wave; Functionally graded material; Material characterization; NDT; Neural network

Indexed keywords

CYLINDERS (SHAPES); ELASTIC WAVES; NEURAL NETWORKS; NUMERICAL METHODS; SILICON NITRIDE; STAINLESS STEEL;

FORWARD SOLVERS;

FUNCTIONALLY GRADED MATERIALS;

SILICON NITRIDE; STAINLESS STEEL;

ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; CONTROLLED STUDY; DATA ANALYSIS; EXPERIMENTAL MODEL; MATERIALS TESTING; MATHEMATICAL COMPUTING; ONLINE SYSTEM; PRIORITY JOURNAL; PROBLEM SOLVING; THICKNESS;

EID: 0037379782     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(02)00578-7     Document Type: Article

References (19)

1. S. Amada, Y. Ichikawa, T. Munekata, Y. Nagase, H. Shimizu, Fiber texture and mechanical graded structure of bamboo, Composites Part B 28 (1997) 13-20.
2. D.H. Besterfield, C. Besterfield-Michna, G.H. Besterfield, M. Besterfield-Sacre, Total Quality Management, Prentice-Hall, New York, 1995.
3. K. Chandrashekhara, A. Chukwujekwu, Y.P. Jiang, Estimation of contact force on composite plates using impact-induced strain and neural networks, Composites Part B 29B (1998) 363-370.
4. J. D'Cruz, J.D.C. Crisp, T.G. Ryall, On the identification of a harmonic force on a viscoelastic plate from response data, J. Appl. Mech. 59 (1992) 722-729.
5. X. Han, G.R. Liu, K.Y. Lam, A quadratic layer element for analyzing stress waves in FGMs and its application in material characterization, J. Sound Vibration 236 (2) (2000) 307-321.
6. X. Han, G.R. Liu, Z.C. Xi, K.Y. Lam, Transient waves in a functionally graded cylinder, Int. J. Solids Struct. 38 (2001) 3021-3037.
7. N. Huber, C. Tsakmakis, Determination of constitutive properties from spherical indentation data using neural networks. Part I: the case of pure kinematic hardening in plasticity laws, J. Mech. Phys. Solids 47 (1999) 1569-1588.
8. M.G. Kendall, A. Stuart, The Advanced Theory of Statistics, Vol. 1, 3rd Edition, Griffin, London, 1969.
9. M. Koizumi, FGM activities in Japan, Composites Part B 28B (1997) 1-4.
10. G.R. Liu, A step-by-step method of rule-of-mixture of fiber- and particle-reinforced composite materials, Composite Struct. 40 (1998) 313-322.
11. G.R. Liu, K.Y. Lam, H.M. Shang, A new method for analyzing wave fields in laminated composite plates: two-dimensional cases, Composite Eng. 5 (11) (1995) 1489-1498.
12. H. Mase, T. Kitano, Prediction model for occurrence of impact wave force, Ocean Eng. 26 (1999) 949-961.
13. S.F. Masri, A.G. Chassiako, T.K. Ganghey, Identification of nonlinear dynamic systems using neural networks, J. Appl. Mech. 60 (1) (1993) 123-133.
14. R. Sribar, Solutions of inverse problems in elastic wave propagation with artificial neural networks, Dissertation, Cornell University, Ithaca, NY, 1994.
15. B.G. Sumpter, D.W. Noid, On the design, analysis, and characterization of materials using computational neural networks, Annu. Rev. Mater. Sci. 26 (1996) 223-277.
16. B.H.V. Topping, A. Bahreininejad, Neural Computing for Structural Mechanics, Saxe-coburg Publications, Edinburgh, 1997.
17. Y.S. Touloukian, Thermophysical Properties of High Temperature Solid Materials, Macmillan, New York, 1967.
18. S.W. Tsai, T.H. Hahn, Introduction to Composite Materials, Techromic Publishing Company, Westport, 1980.
19. Y.G. Xu, Research on the dynamic intelligent diagnosis and reliability evaluation for structures, Ph.D. Dissertation, Huazhong University of Science and Technology, China, 1996.