Neural network-based model for assessing failure potential of highway slopes in the Alishan, Taiwan Area: Pre- and post-earthquake investigation

NCU Institutional Repository > 工學院 > 土木工程研究所 > 期刊論文 > Item 987654321/26278

請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/26278

題名:	Neural network-based model for assessing failure potential of highway slopes in the Alishan, Taiwan Area: Pre- and post-earthquake investigation
作者:	Lin,HM;Chang,SK;Wu,JH;Juang,CH
貢獻者:	土木工程研究所
關鍵詞:	LANDSLIDE SUSCEPTIBILITY ZONATION;RESISTANCE;FUZZY
日期:	2009
上傳時間:	2010-06-29 17:09:48 (UTC+8)
出版者:	中央大學
摘要:	This paper is aimed at creating an empirical model for assessing failure potential of highway slopes, with a special attention to the failure characteristics of the highway slopes in the Alishan, Taiwan area prior to, and post, the 1999 Chi-Chi, Taiwan earthquake. The basis of the study is a large database of 955 slope records from four highways in the Alishan area. Artificial neural network (ANN) is utilized to "learn" from this database. The developed ANN model is then used to study the effect of the Chi-Chi earthquake on the slope failure characteristics in the Alishan area. Significant changes in the degrees of influence of several factors (variables) are found and possible reasons for such changes are discussed. The novelty of this paper lies in the fact that the developed ANN models are used as a tool to investigate the slope failure characteristics before and after the Chi-Chi earthquake. (C) 2008 Elsevier B.V. All rights reserved.
關聯:	ENGINEERING GEOLOGY
顯示於類別:	[土木工程研究所] 期刊論文

文件中的檔案:

檔案	描述	大小	格式	瀏覽次數
index.html		0Kb	HTML	781	檢視/開啟

在NCUIR中所有的資料項目都受到原著作權保護.

社群 sharing