Predicting the Grouting Ability of Sandy Soils by Artificial Neural Networks Based On Experimental Tests
In this paper, the grouting ability of sandy soils is investigated by artificial neural networks based on the results of chemical grout injection tests. In order to evaluate the soil grouting potential, experimental samples were prepared and then injected. The sand samples with three different parti...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Tehran Press
2014-12-01
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| Series: | Civil Engineering Infrastructures Journal |
| Subjects: | |
| Online Access: | http://ceij.ut.ac.ir/article_40871_ff2a7d20b4aa1dd5b20819215fb06a95.pdf |