References
- [1] BOSO D.P., LEFIK M., SCHREFLER B.A., Generalised self consistent homogenisation as an inverse problem, ZAMM: Z. Angew. Math. Mech., 2010, 90, 847–860.
- [2] DUNCAN J.M., CHANG C.Y., Nonlinear analysis of stress and strain in soils, Journal of the Soil Mechanics and Foundations Division, ASCE, 1970, 96(SM5), 1629–1653.
- [3] DUNCAN J.M., BYRNE P., WONG K.S., MABRY P., Strength, stress–strain and bulk modulus parameters for finite element; analyses of stresses and movements in soil masses, Rep. No. UCB/GT/80-01, University of California, Berkeley, Calif., 1980.
- [4] GHABOUSSI J. GARRETT J.H., WU X., Knowledge-Based Modelling of Material Behaviour with Neural Networks, Journal of Engineering Mechanics, 1991, 117, 132–151.
- [5] LEFIK M., Artificial neural network as a numerical representation of an incremental constitutive law, Poromechanics II, J.–L. Auriault et al. (eds.), Balkema Publishers, 2002, 251–257.
- [6] LEFIK M., SCHREFLER B.A., Artificial neural network as an incremental non-linear constitutive model for a finite element code, Computer Methods in Applied Mechanics and Engineering, 2003, 192/28–30, 3265–3283.
- [7] PINGYE GUO, WEI-CHAO LI, Development and implementation of Duncan-Chang constitutive model in GeoStudio2007, International Conference on Advances in Computational Modeling and Simulation, Procedia Engineering, 2012, 31, 395–402, available online at www.sciencedirect.com
- [8] SHIN H.S., PANDE G.N., On self-learning finite element codes based on monitored response of structures, Computers and Geotechnics, 2000, 27, 161–178.
- [9] STARK T.D., EBELING R.M., VETTEL J.J., Hyperbolic stress– strain parameters for silts, Journal of Geotechnical Engineering, 1994, 120, No. 2, 420–440.