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Predicting geometry of slip surfaces beneath landslides by fuzzy theory. Fuzzy riron wo riyoshita suberimen yosoku

Journal Article:

Abstract

In case a landslide occurs on a slope, grasping the area of influence (location and shape of the slip surface) is required to take a countermeasure against landslides. This paper describes a method developed by the author for predicting a slip surface by utilizing fuzzy theory. The method predicts a slip surface from observations on ground surface displacement vectors, and the validity of the method has been verified through slip experiments conducted on slopes with a centrifugal model experiment device. The developed method for predicting the location of a slip surface well matches the experiment results, indicating the validity of the method. It has been found that the difference between the predicted and observed locations of a slip surface mainly is due to the error of the prediction in the starting and ending locations of the slip surface. It is also pointed out that, in order to improve the prediction of the shape of a slip surface, the observation density must be increased at the location where the shape of the slip surface strongly varies, since the direction of the slip surface is determined by the direction of the ground surface displacement vectors. 4 refs., 7 figs.
Authors:
Ono, K [1] 
  1. Mie Univ., Mie (Japan). Faculty of Biological and Resources
Publication Date:
Dec 01, 1991
Product Type:
Journal Article
Reference Number:
NEDO-92-911025; EDB-92-128648
Resource Relation:
Journal Name: Nogyo Doboku Shikenjo Giho, F (Technical Report of the Agricultural Engineering Research Station, Ministry of Agriculture and Forestry, Ser. F, General); (Japan); Journal Volume: 59:12
Subject:
58 GEOSCIENCES; LANDSLIDES; SURFACE AREA; FORECASTING; GEOMETRY; EXTRAPOLATION; MATHEMATICS; SLIP; NUMERICAL SOLUTION; SURFACE PROPERTIES; 580000* - Geosciences
OSTI ID:
7206249
Country of Origin:
Japan
Language:
Japanese
Other Identifying Numbers:
Journal ID: ISSN 0549-5717; CODEN: NDSFB
Submitting Site:
NEDO
Size:
Pages: 1389-1394
Announcement Date:

Journal Article:

Citation Formats

Ono, K. Predicting geometry of slip surfaces beneath landslides by fuzzy theory. Fuzzy riron wo riyoshita suberimen yosoku. Japan: N. p., 1991. Web.
Ono, K. Predicting geometry of slip surfaces beneath landslides by fuzzy theory. Fuzzy riron wo riyoshita suberimen yosoku. Japan.
Ono, K. 1991. "Predicting geometry of slip surfaces beneath landslides by fuzzy theory. Fuzzy riron wo riyoshita suberimen yosoku." Japan.
@misc{etde_7206249,
title = {Predicting geometry of slip surfaces beneath landslides by fuzzy theory. Fuzzy riron wo riyoshita suberimen yosoku}
author = {Ono, K}
abstractNote = {In case a landslide occurs on a slope, grasping the area of influence (location and shape of the slip surface) is required to take a countermeasure against landslides. This paper describes a method developed by the author for predicting a slip surface by utilizing fuzzy theory. The method predicts a slip surface from observations on ground surface displacement vectors, and the validity of the method has been verified through slip experiments conducted on slopes with a centrifugal model experiment device. The developed method for predicting the location of a slip surface well matches the experiment results, indicating the validity of the method. It has been found that the difference between the predicted and observed locations of a slip surface mainly is due to the error of the prediction in the starting and ending locations of the slip surface. It is also pointed out that, in order to improve the prediction of the shape of a slip surface, the observation density must be increased at the location where the shape of the slip surface strongly varies, since the direction of the slip surface is determined by the direction of the ground surface displacement vectors. 4 refs., 7 figs.}
journal = {Nogyo Doboku Shikenjo Giho, F (Technical Report of the Agricultural Engineering Research Station, Ministry of Agriculture and Forestry, Ser. F, General); (Japan)}
volume = {59:12}
journal type = {AC}
place = {Japan}
year = {1991}
month = {Dec}
}