A NEUROFUZZY TECHNIQUE TO PREDICT SEISMIC LIQUEFACTION POTENTIAL OF SOILS
نویسندگان
چکیده
منابع مشابه
Application of ANN to Predict Liquefaction Potential
This study refers to the prediction of liquefaction potential of alluvial soil by artificial neural network models. To meet the objective 160 data sets from field and laboratory tests were collected for the development of ANN models. Initially these data sets were used to determine liquefaction parameters like cyclic resistance ratio and cyclic stress ratio by Idriss and Boulanger method to ide...
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As one of the significant phenomena in earthquake geotechnical engineering, liquefaction can cause severe damages. A number of factors play a role in the occurrence of liquefaction such as magnitude of earthquake, void ratio, relative density, and fines content percentage. The impact of building construction overburdens on liquefaction is of paramount importance. The present study was aimed at ...
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In this paper, assessment of liquefaction of soils by various approaches have been reviewed and presented in chronological order. The study focuses on procedural requirements and assessment for conventional and computational methods. Simplified method given by Seed, Tokimatsu-Yoshimi (T-Y) and Idriss & Boulanger methods of liquefaction assessmenthave been analyzed. Computational methods like ar...
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Recent ground failure case histories after 1994 Northridge, 1999 Kocaeli and 1999 Chi-Chi earthquakes revealed that low-plasticity silt-clay mixtures generate significant cyclic pore pressures and can exhibit a strain-softening response, which may cause significant damage to overlying structural systems. In this study, results of cyclic tests performed on undisturbed specimens of ML, CL, MH and...
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This paper presents prediction of liquefaction potential of soils by neuro-fuzzy models evaluated using Idriss and Boulanger method. In order to address the collective knowledge built up in conventional liquefaction method, an alternative Takagi-Sugeno-Kang reliant neuro-fuzzy model has been developed. Neuro-fuzzy is one of the artificial intelligence approaches that can be classified by machin...
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ژورنال
عنوان ژورنال: Neural Network World
سال: 2014
ISSN: 1210-0552,2336-4335
DOI: 10.14311/nnw.2014.24.015