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A Neuro-Fuzzy model for prediction of liquefaction-induced lateral spreading

Haeri, S. M ; Sharif University of Technology | 2006

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  1. Type of Document: Article
  2. Publisher: 2006
  3. Abstract:
  4. Lateral spreading generated by earthquake induced liquefaction, is a major cause for significant damage to the engineered structures, during earthquakes. Knowing the amount of displacement which is likely to occur due to the lateral spreading, will lead to better construction policies, and will reduce unexpected damages. A Neuro-Fuzzy model based on subtractive clustering is developed to predict the amount of lateral spreading expected to occur due to an earthquake. A large database containing the case histories of observed lateral spreading during seven major earthquakes of the past is used for training and evaluating the models. The results of this study show that Neuro-Fuzzy method serves as a reliable method for prediction of lateral spreading and hazard zone assessment
  5. Keywords:
  6. Case history ; Engineered structures ; Hazard zones ; Large database ; Lateral spreading ; Neuro-fuzzy methods ; Neuro-Fuzzy model ; Subtractive clustering ; Civil engineering ; Engineering geology ; Forecasting ; Liquefaction ; Earthquakes
  7. Source: 8th US National Conference on Earthquake Engineering 2006, San Francisco, CA, 18 April 2006 through 22 April 2006 ; Volume 13 , 2006 , Pages 8001-8008 ; 9781615670444 (ISBN)
  8. URL: https://www.researchgate.net/publication/259843543_A_neuro-fuzzy_model_for_prediction_of_liquefaction_induced_lateral_spreading