A New Predictive Model for Estimaion of the Liquefaction-Induced Lateral displacements Using Genetic Programming Approach
Publish place: 10th International Congress on Civil Engineering
Publish Year: 1394
Type: Conference paper
Language: English
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ICCE10_1203
Index date: 10 July 2015
A New Predictive Model for Estimaion of the Liquefaction-Induced Lateral displacements Using Genetic Programming Approach abstract
Liquefaction-induced lateral spreading is known as a significant type of geotechnical damages for the engineering structures. This paper presents a new developed predictive model, based on genetic programming (GP) approach, for predicting the liquefaction-induced lateral displacements during earthquakes. A new and comprehensive database containing 508 case histories observed during past 12 major earthquakes has been used for developing and analysis of the new model . Since the presented model has been developed based on numerous earthquakes and site conditions, it is more general and reliable than previous models. The obtained results, also, demonstrate reliable predictive cappability of the proposed model in comparison to the the previous models.
A New Predictive Model for Estimaion of the Liquefaction-Induced Lateral displacements Using Genetic Programming Approach Keywords:
earthquake-induced lateral spreading , Genetic Programming (GP) , training and testing sets , database
A New Predictive Model for Estimaion of the Liquefaction-Induced Lateral displacements Using Genetic Programming Approach authors
M. Sadegh Maghsoudi
PhD Student, Civil Engineering Department, University of Zanjan, Zanjan, Iran
Farhang Farrokhi
Assistant Professor, Civil Engineering Department, University of Zanjan, Zanjan, Iran
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