Geotechnical design using fuzzy sets

Pao Yue-kong Library Electronic Theses Database

Geotechnical design using fuzzy sets

 

Author: Mak, Shu-hei
Title: Geotechnical design using fuzzy sets
Degree: M.Sc.
Year: 1995
Subject: Fuzzy sets
Soil mechanics
Rock mechanics
Hong Kong Polytechnic University -- Dissertations
Department: Multi-disciplinary Studies
Pages: iv, 80 leaves : ill. ; 30 cm
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b1202703
URI: http://theses.lib.polyu.edu.hk/handle/200/1631
Abstract: In Hong Kong, with a combination of hilly terrain and intense development during the past decades, large and steep cuttings have been made into the existing hillside. In many parts of Hong Kong Island where the bedrock is fairly shallow, large and steep rock cuttings have been formed. The granitic or volcanic bedrock in Hong Kong is very strong and the source of instability of these rock slopes arises from daylighting of adverse rock joints. Stability study of rock slopes in Hong Kong is therefore based on the assessment of the presence of predominant adverse rock joints and their effects on the stability of rock blocks along which they slide. For the purpose of rock slope stability study, rock joint data are collected in the field and the data analysed. Conventional methods of analyses involve projection of the rock joint data (i.e. dip angle and dip direction) onto an equal area stereoplot and the data contoured by the counting circle method. The projection of rock joint data on the x-y plane gives clusters of points which could be studied in terms of fuzzy-neural techniques. This dissertation attempts to use fuzzy objective functions of Fuzzy C-Means and Fuzzy Covariance Algorithms to identify the centres of clusters and compares the results with a fuzzy neural network of Fuzzy Kohonen Clustering Nets. Artificial clusters were initially studied to provide a measurement of the appropriateness of the various methods in cluster analyses. Actual rock joint data are then studied to compare with the results of conventional analyses. The results indicate that Fuzzy C-Means fined tuned by Fuzzy Kohonen Clustering Nets is the most appropriate method of cluster analyses.

Files in this item

Files Size Format
b12027030.pdf 2.946Mb PDF
Copyright Undertaking
As a bona fide Library user, I declare that:
  1. I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
  2. I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
  3. I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.

     

Quick Search

Browse

More Information