An artificial neural network solution (in closed form expression) is established for the total lateral thrust and its point of application on rigid retaining walls due to finite surface strip loads. The model accounts for soil nonlinearity and dilatancy. Data necessary for the model is produced through finite element analyses. The solution relates the total lateral thrust and its point of application to six parameters, including the strength parameters of the soil, wall height and the position as well as the extent of the surface load. The effects of each input parameter on the response are summarized and the results are compared with the linear elastic solution.
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Yildiz, E., “Lateral pressures on rigid retaining walls: a neural network approach”, M.Sc. Thesis, Middle East Technical University, Ankara, Türkiye (2003).
Year 2010,
Volume: 23 Issue: 2, 201 - 210, 31.03.2010
Hagan, M.T., Menhaj, M., “Training feed-forward networks with the Marquardt algorithm”, IEEE Transactions on Neural Networks, 5(6): 989-993 (1994).
Poulos, H.G., Davis, E.H., “Elastic solutions for soil and rock mechanics”, John Wiley and Sons, New York (1974).
Motta, E., “Generalized coulomb active earth pressure for distanced surcharge”, J. Geotech. Engrg., ASCE, 120: 1072-1079 (1994).
Georgiadis, M, Anagnostopoulos, C., “Lateral pressure on sheet pile walls due to strip load”, J. Geotech. and Geoenv. Engrg., ASCE, 124: 95-98 (1998).
Cernica, J.N., “Geotechnical engineering: foundation design”, John Wiley & Sons Inc., New York (1995).
Schanz, T., Vermeer, P.A., Bonnier, P.G., “The hardening soil model: formulation and verification”, Beyond 2000 in Computational Geotechnics-10 years of Plaxis, Balkema, Rotterdam (1999).
Duncan, J.M., Chang, C.Y., “Nonlinear analysis of stress and strain in soil”, J. of the Soil Mech. and Found. Div., ASCE, 96: 1629-1653 (1970).
Duncan, J.M., Byrne, P., Wong, K.S., Babry, P., “Strength, stress-strain and bulk modulus parameters for finite element analyses of stresses and movements in soil masses”, University of California, Berkeley, Report No: UCB/GT/80-01 (1980).
Brinkgreve, R.B.J. [Ed], “PLAXIS–Finite element code for soil and rock analyses: user’s manual-V 8”, AA Balkema, Rotterdam, Netherlands (2002).
Yildiz, E., “Lateral pressures on rigid retaining walls: a neural network approach”, M.Sc. Thesis, Middle East Technical University, Ankara, Türkiye (2003).
Yıldız, E., Ozyazıcıoglu, M. H., & Ozkan, M. Y. (2010). Lateral Pressures on Rigid Retaining Walls: A Neural Network Approach. Gazi University Journal of Science, 23(2), 201-210.
AMA
Yıldız E, Ozyazıcıoglu MH, Ozkan MY. Lateral Pressures on Rigid Retaining Walls: A Neural Network Approach. Gazi University Journal of Science. March 2010;23(2):201-210.
Chicago
Yıldız, Ersan, Mehmet H. Ozyazıcıoglu, and M. Yener Ozkan. “Lateral Pressures on Rigid Retaining Walls: A Neural Network Approach”. Gazi University Journal of Science 23, no. 2 (March 2010): 201-10.
EndNote
Yıldız E, Ozyazıcıoglu MH, Ozkan MY (March 1, 2010) Lateral Pressures on Rigid Retaining Walls: A Neural Network Approach. Gazi University Journal of Science 23 2 201–210.
IEEE
E. Yıldız, M. H. Ozyazıcıoglu, and M. Y. Ozkan, “Lateral Pressures on Rigid Retaining Walls: A Neural Network Approach”, Gazi University Journal of Science, vol. 23, no. 2, pp. 201–210, 2010.
ISNAD
Yıldız, Ersan et al. “Lateral Pressures on Rigid Retaining Walls: A Neural Network Approach”. Gazi University Journal of Science 23/2 (March 2010), 201-210.
JAMA
Yıldız E, Ozyazıcıoglu MH, Ozkan MY. Lateral Pressures on Rigid Retaining Walls: A Neural Network Approach. Gazi University Journal of Science. 2010;23:201–210.
MLA
Yıldız, Ersan et al. “Lateral Pressures on Rigid Retaining Walls: A Neural Network Approach”. Gazi University Journal of Science, vol. 23, no. 2, 2010, pp. 201-10.
Vancouver
Yıldız E, Ozyazıcıoglu MH, Ozkan MY. Lateral Pressures on Rigid Retaining Walls: A Neural Network Approach. Gazi University Journal of Science. 2010;23(2):201-10.