Abstract

Sampling from the soils that reveal similar features would be difficult; even if the sample layers are from the same side. It must be also noted that the cohesion feature of the clay is one of the most important parameters of soil mechanics. In order to determine the cohesion proportion of the soil, it is necessary to perform the strength tests. If the cohesion features can be determined by means of physical parameters of soil as well as by typical fieldwork, time and cost will be saved. This article attempts at firstly performing a series of fieldwork, getting some result, and then using the existing results in order to build data bank to conduct fuzzy logical analysis. And it secondly attempts at considering the physical parameters that are effective for cohesion strength by means of artificial intelligent. Finally it attempts at comparing the results obtained from the experiments.

Details

Title
Estimating the Clay Cohesion by Means of Artificial Intelligence Technique
First page
651
Publication year
2012
Publication date
2012
Publisher
Asian Economic and Social Society
ISSN
22265724
e-ISSN
22231331
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1417590515
Copyright
Copyright Asian Economic and Social Society 2012