A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Liquefaction assessment using microtremor measurement, conventional method and artificial neural network (Case study: Babol, Iran)
Abstract 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 (K g ) 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 K g = 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.
Liquefaction assessment using microtremor measurement, conventional method and artificial neural network (Case study: Babol, Iran)
Abstract 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 (K g ) 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 K g = 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.
Liquefaction assessment using microtremor measurement, conventional method and artificial neural network (Case study: Babol, Iran)
Rezaei, Sadegh (author) / Choobbasti, Asskar Janalizadeh (author)
Frontiers of Structural and Civil Engineering ; 8 ; 292-307
2014-07-28
16 pages
Article (Journal)
Electronic Resource
English
Liquefaction maps in Babol City, Iran through probabilistic and deterministic approaches
| Springer Verlag | 2018
Liquefaction maps in Babol City, Iran through probabilistic and deterministic approaches
| DOAJ | 2018
Microzonation of Liquefaction Hazard using Liquefaction Index in Babol City
| British Library Online Contents | 2017
Evaluation of site response characteristic using nonlinear method (Case study: Babol, Iran)
| Springer Verlag | 2014
Evaluation of site response characteristic using nonlinear method (Case study: Babol, Iran)
| Springer Verlag | 2014