Simulation of torsional shear test results with neuro-fuzzy control system

ALTUN S., Goektepe A. B., Ansal A. M., Akgüner C.

SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, cilt.29, sa.2, ss.253-260, 2009 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 29 Sayı: 2
  • Basım Tarihi: 2009
  • Doi Numarası: 10.1016/j.soildyn.2008.01.008
  • Dergi Adı: SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.253-260
  • Anahtar Kelimeler: Cyclic test, Sand, Liquefaction, Neuro-fuzzy system, Hybrid learning algorithm
  • TED Üniversitesi Adresli: Hayır

Özet

In the first part of this study, a series of stress-controlled hollow cylinder cyclic torsional triaxial shear tests were conducted on loose to medium dense saturated samples of clean Toyoura sand to investigate its liquefaction behavior. A uniform cyclic sinusoidal loading at a 0.1 Hz frequency was applied to air-pluviated samples where confining pressure and relative density was varied. Cyclic shear stress-strain changes, the number of cycles to reach liquefaction and pore pressure variations were recorded. Results indicate that the liquefaction resistances of uniform sands are significantly affected by the method of sample preparation and initial conditions.