Neural network constitutive model for rate-dependent materials
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[1] Alan F. Murray,et al. IEEE International Conference on Neural Networks , 1997 .
[2] Xiping Wu. Neural network-based material modeling , 1992 .
[3] Rui Zhao,et al. Stress-Strain Modeling of Sands Using Artificial Neural Networks , 1995 .
[4] James H. Garrett,et al. Knowledge-Based Modeling of Material Behavior with Neural Networks , 1992 .
[5] Ionel M. Navon,et al. Truncated-Newton training algorithm for neurocomputational viscoplastic model , 2003 .
[6] G. N. Pande,et al. On self-learning finite element codes based on monitored response of structures , 2000 .
[7] Genki Yagawa,et al. Implicit constitutive modelling for viscoplasticity using neural networks , 1998 .
[8] William H. Press,et al. Numerical Recipes: FORTRAN , 1988 .
[9] Robert J. Marks,et al. Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks , 1999 .
[10] Youssef M A Hashash,et al. Systematic update of a deep excavation model using field performance data , 2003 .
[11] Amin Ghali,et al. CREEP POISSON'S RATIO OF CONCRETE UNDER MULTIAXIAL COMPRESSION , 1969 .
[12] W L Gamble,et al. CONSTRUCTION AND LONG-TERM BEHAVIOR OF 1/8-TH SCALE PRESTRESSED CONCRETE BRIDGE COMPONENTS , 1972 .
[13] Youssef M A Hashash,et al. Numerical implementation of a neural network based material model in finite element analysis , 2004 .
[14] Jamshid Ghaboussi,et al. New nested adaptive neural networks (NANN) for constitutive modeling , 1998 .
[15] Martin A. Riedmiller,et al. A direct adaptive method for faster backpropagation learning: the RPROP algorithm , 1993, IEEE International Conference on Neural Networks.
[16] R. Palmer,et al. Introduction to the theory of neural computation , 1994, The advanced book program.
[17] Martin A. Riedmiller,et al. Advanced supervised learning in multi-layer perceptrons — From backpropagation to adaptive learning algorithms , 1994 .
[18] I. J. Jordaan,et al. The creep of sealed concrete under multiaxial compressive stresses , 1969 .
[19] Jamshid Ghaboussi,et al. Autoprogressive training of neural network constitutive models , 1998 .
[20] Mingfu Michael Zhang. Neural Network Material Models Determined From Structural Tests , 1997 .
[21] Djoni Eka Sidarta. Neural Network-Based Constitutive Modeling of Granular Material , 2000 .
[22] Y. Haddad. Viscoelasticity of Engineering Materials , 1994 .
[23] D J Hannant,et al. CREEP AND CREEP RECOVERY OF CONCRETE SUBJECTED TO MULTIAXIAL COMPRESSIVE STRESS , 1969 .
[24] G Pande,et al. Enhancement of data for training neural network based constitutive models for geomaterials , 2002 .
[25] Youssef M A Hashash,et al. Constitutive model update using observed field behavior , 2004 .
[26] George Z. Voyiadjis,et al. SIMULATED MICROMECHANICAL MODELS USING ARTIFICIAL NEURAL NETWORKS , 2001 .