Estimation of liquefaction-induced horizontal displacements using artificial neural networks

M. Chiru-Danzer, C. H. Juang, R. A. Christopher, J. Suber

研究成果: 雜誌貢獻期刊論文同行評審

21 引文 斯高帕斯(Scopus)

摘要

In the present study, artificial neural network (ANN) models based on field performance data are developed for predicting liquefaction-induced horizontal displacements. A database consisting of 443 measurements of horizontal displacements forms the basis for ANN modeling and analysis. The ANN model resulted in predictive capabilities that surpass those of published methods. A sensitivity analysis of the ANN model is conducted to evaluate the effect of each individual input variable on the calculated horizontal displacement. The newly developed ANN model is compared with and shown to be more accurate than other existing methods in predicting liquefaction-induced horizontal displacements.

原文???core.languages.en_GB???
頁(從 - 到)200-207
頁數8
期刊Canadian Geotechnical Journal
38
發行號1
DOIs
出版狀態已出版 - 2001

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