Analysis ofHigb Frequency Transformer Design in Converter Application
Data obtained from Cone Penetration Test has been used to develop site layering system and soil classification. Common approach for soil classification from cone data is to use graph and charts that correlate cone resistance and other non dimensional factor to obtain a soil type. This approach, o...
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| Main Author: | |
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Universiti Teknologi Petronas
2008
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| Online Access: | http://utpedia.utp.edu.my/7105/1/2008%20-%20Application%20of%20expert%20system%20for%20soil%20calassification%20from%20CPT.pdf http://utpedia.utp.edu.my/7105/ |
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| Summary: | Data obtained from Cone Penetration Test has been used to develop site layering
system and soil classification. Common approach for soil classification from cone
data is to use graph and charts that correlate cone resistance and other non
dimensional factor to obtain a soil type. This approach, or other approach based on
this type of graph has been known to produce a rapid change of soil type even for a
close vertical distance. This rapid change is believed beyond the possible range
associated with random formation of oil, rather because of fixed artificial boundary
established when developing such graph. In this context, fuzzy approach is consider to
be superior to represent smooth change between soil layers compare to crisp
approach. This paper describes procedure for soil classification based on Cone
Penetration Test (CPT) using Fuzzy Expert System (FES). Fuzzy membership
function is derived to approximate known correlation between cone penetration and
friction resistance to each soil group. Simple rules are used to classify primary soil
group (sand, silt, clay) and secondary soil group (silty clay, clayey sand, etc.).
Preliminary work using only membership function of primary soil type indicates that
soil type inferred using FES is found out to be comparable to other method in term of
consistency between two adjacent cone readings. However, FES moderately performs
to identify secondary soil type if compared to visual observation from boring log. |
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