SOIL DYNAMIC PROPERTIES DETERMINATION: A NEUROFUZZY SYSTEM APPROACH

S.R. García, M.P. Romo, and J. Figueroa-Nazuno

References

  1. [1] R.G. Campanella, W.P. Stewart, D. Roy, & M.P. Davies,Low strain characteristics of soils with the downhole seismicpiezocone penetrometer, Proc. Symp. on Dynamic GeotechnicalTesting II, San Francisco, 1994, 73–87.
  2. [2] Y. Yoshimi, K. Tokimatsu, & Y. Hosaka, Evaluation of lique-faction resistance of clean sands based on high-quality undis-turbed samples, Soils and Foundations, 29(1), 1989, 3–104.
  3. [3] M.G. Jefferies & M.P. Davies, Use of CPTu to estimateequivalent SPT, Geotechnical Testing Journal, 16(4), 1993,458–468.
  4. [4] H. Harder & G. von Bloh, Determination of representativeCPT-parameters, Proc. Geotechn. Conf. Penetration Testingin the UK, Birmingham, Institute of Civil Engineers, 1988,237–240.
  5. [5] W.P. Stewart & R.G. Campanella, Practical aspects of in-situmeasurements of material damping with the SCPT, CanadianGeotechnical Journal, 30(2), 1993, 211–219.
  6. [6] R.G. Campanella & M.A. Kokan, A new approach to measuringdilatancy in saturated sands, Geotechnical Testing Journal,ASTM GTJODJ, 16(4), 1993, 485–495.
  7. [7] A. Jaime & M.P. Romo, Correlations between dynamic andstatic properties of Mexico City clay, Earthquake Spectra,EERI, 4(4), 1988, 787–804. doi:10.1193/1.1585502
  8. [8] E. Ovando & M.P. Romo, Estimaci´on de la velocidad de ondasS en la arcilla de la ciudad de M´exico con ensayos de cono,Revista Sismodin´amica, 2, 1991, 107–123.
  9. [9] K. Zen, Y. Umehara, & K. Hamada, Laboratory tests andin-situ seismic survey on vibratory shear modulus of claveysoils with different plasticities, Proc. 5th Japan EarthquakeEngineering Symp., Tokyo, 1978, 721–728.
  10. [10] T. Kokushu, Y. Yoshida, & Y. Esashi, Dynamic properties ofsoft clay for wide strain range, Soils and Foundations, 22(4),1982, 1–18.
  11. [11] R. Dobry & M. Vucetic, Dynamic properties and seismicresponse of soft clay deposits, Proc. Int. Symp. on GeotechnicalEngineering of Soft Soils, 2, Mexico City, 1987, 51–87.
  12. [12] J.I. Sun, R. Golesorkhi, & H.B. Seed, Dynamic moduli andcamping ratios for cohesive soils, Report no. EERC-88/15,Earthquake Engineering Research Center, University of Cali-fornia, Berkeley, 1988.
  13. [13] M.P. Romo & E. Ovando, Modeling the dynamic behaviourof Mexican clays, Proc. 11th World Conf. on EarthquakeEngineering, Acapulco, Mexico, paper no. 1028, June 1996,Proc. in CD ROM.
  14. [14] B.O. Hardin & V.P. Drnevich, Shear modulus and dampingin soils: design equations and curves, Journal of GeotechnicalDivision, ASCE, 98(GT7), 1972, 667–692.
  15. [15] L.A. Zadeh, Toward a theory of fuzzy information granulationand its centrality in human reasoning and fuzzy logic, FuzzySets and Systems, 90, 1997, 111–127.10 doi:10.1016/S0165-0114(97)00077-8
  16. [16] P.P. Bonissone, Soft computing: The convergence of emergingreasoning technologies, Soft Computing, 1, 1997, 6–18.
  17. [17] A.W. Burke, The logic of evolution, and the reduction ofholistic coherent systems to hierarchical feedback systems, inW.L. Harper & R. Skyrms (Eds.), Causation in Decision,Belief Change, and Statistics (Dordrecht: Kluwer, 1988).
  18. [18] J. Mendel, Fuzzy logic systems for engineering: A tutorial,Proc. IEEE, 83, 1995, 345–377. doi:10.1109/5.364485
  19. [19] V. Novak, Paradigm, formal properties and limits of fuzzylogic, International Journal of General Systems, 24, 1996,377–406. doi:10.1080/03081079608945129
  20. [20] P. Hajek, Fuzzy logic as logic, in G. Coletti, D. Dubois, &R. Scozzafava (Eds.), Mathematical model for handling partialknowledge in artificial intelligence (New York: Plenum Press,1995).
  21. [21] D. Dubois & H. Prade, Possibility theory: An approach tocomputerized processing of uncertainty (New York: PlenumPress, 1988).
  22. [22] N. Kosko, Neural Networks, fuzzy systems: Dynamical sys-tems approach to machine intelligence (Engelwood Cliffs, NJ:Prentice-Hall, 1992).
  23. [23] T. Takagi & M. Sugeno. Fuzzy identification of systems and itsapplications to modeling and control, IEEE Trans. on Systems,Man, and Cybernetics, SMC-15(1), 1985, 116–132.
  24. [24] J. Moody & C. Darken, Fast learning in networks of locally-tuned processing units, Tech. Rep. YALEU/DCS/RR-654,Dept. of Computer Science, Yale University, New Haven, CT,1989, 227.
  25. [25] S. Fahlman, Faster-learning variations on backpropagation: Anempirical study, in D. Touretzky, G. Hinton, & T. Sejnowski(Eds.), Proc. Connectionist Model Summer School (San Mateo,CA: Morgan Kaufmann, 1988).
  26. [26] R. Marsal & M. Mazari, The subsoil of Mexico City (Ciudadde M´exico, Mexico: UNAM, 1969).
  27. [27] S. Uchigama, K. Tonouchi, & T. Imai, Measurement of S wavevelocity of the ground and application of S wave velocity datafor civil engineering, Oyo Technical Note No. 52, Tokyo, 1984.
  28. [28] M.P. Romo, Clay behaviour, ground response and soil-structureinteraction studies in Mexico City, State of the Art Paper,3rd Int. Conf. on Recent Advances in Geotechnical EarthquakeEngineering and Soil Dynamics, 2, St. Louis, Missouri, 1995,1039–1051.
  29. [29] M.P. Romo, Comportamiento din´amico de la arcilla de la ciudadde M´exico y su repercusi´on en la ingenier´ıa de cimentaciones,Memoria del Simposio El Subsuelo de la Cuenca del Vallede M´exico y su Relaci´on con la Ingenier´ıa de Cimentacionesa Cinco A˜nos del Sismo, Ciudad de M´exico, Mexico, 1990,83–94.
  30. [30] M. Vucetic & R. Dobry, Effect of soil plasticity on cyclicresponse, Journal of Geotechnical Engineering, 117(1), 1991,89–107. doi:10.1061/(ASCE)0733-9410(1991)117:1(89)
  31. [31] M.P. Romo, J.L. Rangel, S. Garc´ıa, & E. Ovando, Forecastingof shear wave velocities from CPT resistances by means of ANN,Proc. GEOTECH-YEAR 2000, Developments in GeotechnicalEngineering, Bangkok, Thailand, 2000, 27–30.

Important Links:

Go Back