Prediction and classification of expansive clay soils
This chapter deals with the prediction and classification of the degree of expansiveness of clay soil. Statistics analysis was introduced as a simple technique for identifying and predicting the degree of swelling. There were three properties which were most strongly correlated to swelling potential...
| Main Author: | Agus Setyo Muntohar |
|---|---|
| Format: | eBook |
| Language: | Bahasa Inggris |
| Published: |
Taylor & Francis Grup
2006
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| Online Access: |
http://oaipmh-jogjalib.umy.ac.idkatalog.php?opo=lihatDetilKatalog&id=64437 |
| id |
oai:lib.umy.ac.id:64437 |
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| recordtype |
oai_dc |
| spelling |
oai:lib.umy.ac.id:644372021-06-16T13:08:08ZPrediction and classification of expansive clay soilsAgus Setyo MuntoharThis chapter deals with the prediction and classification of the degree of expansiveness of clay soil. Statistics analysis was introduced as a simple technique for identifying and predicting the degree of swelling. There were three properties which were most strongly correlated to swelling potential (i.e. plasticity index, liquid limit, and clay fraction). In general, the models in the current study showed good correlation compared with previous models cited in the literature. The multiple linear regression model gave the best-fit for all soil conditions.Taylor & Francis Grup2006eBook-Bahasa Inggrishttp://oaipmh-jogjalib.umy.ac.idkatalog.php?opo=lihatDetilKatalog&id=64437 |
| institution |
Universitas Muhammadiyah Yogyakarta |
| collection |
Perpustakaan Yogyakarta |
| language |
Bahasa Inggris |
| description |
This chapter deals with the prediction and classification of the degree of expansiveness of
clay soil. Statistics analysis was introduced as a simple technique for identifying and
predicting the degree of swelling. There were three properties which were most strongly
correlated to swelling potential (i.e. plasticity index, liquid limit, and clay fraction). In
general, the models in the current study showed good correlation compared with previous
models cited in the literature. The multiple linear regression model gave the best-fit for all
soil conditions. |
| format |
eBook |
| author |
Agus Setyo Muntohar |
| spellingShingle |
Agus Setyo Muntohar Prediction and classification of expansive clay soils |
| author_sort |
Agus Setyo Muntohar |
| title |
Prediction and classification of expansive clay soils |
| title_short |
Prediction and classification of expansive clay soils |
| title_full |
Prediction and classification of expansive clay soils |
| title_fullStr |
Prediction and classification of expansive clay soils |
| title_full_unstemmed |
Prediction and classification of expansive clay soils |
| title_sort |
prediction and classification of expansive clay soils |
| publisher |
Taylor & Francis Grup |
| publishDate |
2006 |
| url |
http://oaipmh-jogjalib.umy.ac.idkatalog.php?opo=lihatDetilKatalog&id=64437 |
| isbn |
- |
| _version_ |
1702751160563138560 |
| score |
14.79448 |