Liquefaction assessment using microtremor measurement, conventional method and artificial neural network （Case study： Babol, Iran）

作     者：Sadegh REZAEI Asskar Janalizadeh CHOOBBASTI 

作者机构：Department of Civil Engineering Babol University of Technology Babol P O. Box 484 Iran 

出 版 物：《Frontiers of Structural and Civil Engineering》 (结构与土木工程前沿（英文版）)

年 卷 期：2014年第8卷第3期

页      面：292-307页

核心收录：

学科分类：12[管理学] 08[工学] 1305[艺术学-设计学（可授艺术学、工学学位）] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 080104[工学-工程力学] 0815[工学-水利工程] 0813[工学-建筑学] 0835[工学-软件工程] 0814[工学-土木工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0801[工学-力学（可授工学、理学学位）] 

主　　题：liquefaction microtremor vulnerability index artificial neural networks (ANN) microzonation 

摘      要：Recent researchers have discovered microtremor applications for evaluating the liquefaction potential. Microtremor measurement is a fast, applicable and cost-effective method with extensive applications. In the present research the liquefaction potential has been reviewed by utilization of microtremor measurement results in Babol city. For this purpose microtremor measurements were performed at 60 measurement stations and the data were analyzed by suing Nakmaura＇s method. By using the fundamental frequency and amplification factor, the value of vulnerability index （Kg） was calculated and the liquefaction potential has been evaluated. To control the accuracy of this method, its output has been compared with the results of Seed and Idriss [1] method in 30 excavated boreholes within the study area. Also, the results obtained by the artificial neural network （ANN） were compared with microtremor measurement. Regarding the results of these three methods, it was concluded that the threshold value of liquefaction potential is Kg = 5. On the basis of the analysis performed in this research it is concluded that microtremors have the capability of assessing the liquefaction potential with desirable accuracy.