%0 Journal Article %1 noauthororeditor %A Win, Aye Aye Myat Nyan Myint Kyaw Htay %D 2018 %J International Journal of Trend in Scientific Research and Development %K CBR Civil Engineering cement cohesive model regression soils %N 3 %P 2594-2601 %T Prediction Models for Estimation of California Bearing Ratio for Cohesive Soil %U http://www.ijtsrd.com/engineering/civil-engineering/12819/prediction-models-for-estimation-of-california-bearing-ratio-for-cohesive-soil/aye-aye-myat %V 2 %X Cohesive soils are well known for their low strength properties. Thus, they are inappropriate for geotechnical works. Soils may be stabilized to increase strength and durability. Stabilization with cement is a common treatment technology. The present study examines the strength of cement stabilized soil. The laboratory tests were carried out in order to study the strength of california bearing ratio (CBR). Nine clayey soils with different properties were mixed with various amounts of cement content (3, 6, 9 and 12%) and compacted at the optimum moisture content and maximum dry density. Soaked or unsoaked condition of soil affects the CBR value. The test results show that unsoaked CBR before stabilization ranges between 2.78% and 10.22% which that of its corresponding soaked samples range between 1.01% and 9.5%. After stabilization, the values of unsoaked CBR range between 3.08% and 47%. The maximum values of unsoaked CBR are within 10.8% to 47%. So it can be used as sub-base condition. The conventional CBR testing method is expensive and time consuming. The laboratory test results were used for the development of regression based model to predict unsoaked and soaked CBR values for natural and cement stabilized soil. Aye Aye Myat | Nyan Myint Kyaw | Htay Win"Prediction Models for Estimation of California Bearing Ratio for Cohesive Soil" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd12819.pdf http://www.ijtsrd.com/engineering/civil-engineering/12819/prediction-models-for-estimation-of-california-bearing-ratio-for-cohesive-soil/aye-aye-myat

@article{noauthororeditor, abstract = {Cohesive soils are well known for their low strength properties. Thus, they are inappropriate for geotechnical works. Soils may be stabilized to increase strength and durability. Stabilization with cement is a common treatment technology. The present study examines the strength of cement stabilized soil. The laboratory tests were carried out in order to study the strength of california bearing ratio (CBR). Nine clayey soils with different properties were mixed with various amounts of cement content (3, 6, 9 and 12%) and compacted at the optimum moisture content and maximum dry density. Soaked or unsoaked condition of soil affects the CBR value. The test results show that unsoaked CBR before stabilization ranges between 2.78% and 10.22% which that of its corresponding soaked samples range between 1.01% and 9.5%. After stabilization, the values of unsoaked CBR range between 3.08% and 47%. The maximum values of unsoaked CBR are within 10.8% to 47%. So it can be used as sub-base condition. The conventional CBR testing method is expensive and time consuming. The laboratory test results were used for the development of regression based model to predict unsoaked and soaked CBR values for natural and cement stabilized soil. Aye Aye Myat | Nyan Myint Kyaw | Htay Win"Prediction Models for Estimation of California Bearing Ratio for Cohesive Soil" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd12819.pdf http://www.ijtsrd.com/engineering/civil-engineering/12819/prediction-models-for-estimation-of-california-bearing-ratio-for-cohesive-soil/aye-aye-myat }, added-at = {2018-09-10T10:45:24.000+0200}, author = {Win, Aye Aye Myat Nyan Myint Kyaw Htay}, biburl = {https://www.bibsonomy.org/bibtex/20bfa1b81a86acc40ae857849d16bf4d7/ijtsrd}, interhash = {dce3d24b76ad2fd248a4f418edda8f2f}, intrahash = {0bfa1b81a86acc40ae857849d16bf4d7}, issn = {2456-6470}, journal = {International Journal of Trend in Scientific Research and Development}, keywords = {CBR Civil Engineering cement cohesive model regression soils}, language = {English}, month = {April}, number = 3, pages = {2594-2601}, timestamp = {2018-10-02T11:01:27.000+0200}, title = {Prediction Models for Estimation of California Bearing Ratio for Cohesive Soil }, url = {http://www.ijtsrd.com/engineering/civil-engineering/12819/prediction-models-for-estimation-of-california-bearing-ratio-for-cohesive-soil/aye-aye-myat}, volume = 2, year = 2018 }