Neural network model for liquefaction potential in soil deposits using Turkey and Taiwan earthquake data

Hanna A. M., Ural D., Saygili G.

SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, cilt.27, sa.6, ss.521-540, 2007 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 27 Sayı: 6
  • Basım Tarihi: 2007
  • Doi Numarası: 10.1016/j.soildyn.2006.11.001
  • Dergi Adı: SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.521-540
  • İstanbul Teknik Üniversitesi Adresli: Hayır

Özet

Simplified methods have been practiced by researchers to assess nonlinear liquefaction potential of soil. Derived from several field and laboratory tests, various simplified procedures such as stress-based, strain-based, Chinese criteria, etc. have been developed by utilizing case studies and undisturbed soil specimens. In order to address the collective knowledge built up in conventional liquefaction engineering, an alternative general regression neural network model is proposed in this paper.