Please use this identifier to cite or link to this item:
https://rda.sliit.lk/handle/123456789/3541
Title: | Prediction of Post-Construction Settlement of Road Embankment on Soft Soil Deposits |
Authors: | Vidurapriya, K. V. D. Jayaratne, G. A. N. Thilakasiri, H. S. |
Keywords: | Soft ground treatment methods Preloading consolidation settlement Asaoka method hyperbolic method |
Issue Date: | Oct-2023 |
Publisher: | SLIIT, Faculty of Engineering |
Series/Report no.: | Journal of Advances in Engineering and Technology;Volume II, Issue I |
Abstract: | Organic soils are often considered problematic soils around the world due to several reasons. Excessive settlement is one of the main concerns when constructing infrastructure on soft grounds with organic soil deposits. Ground improvement is mainly carried out on the sub surfaces that lack the strength and stability to bear the structure to be constructed and undergo large settlement during operation. Different soft-ground treatment methods must be applied based on the soil properties to reduce the expected settlements during construction and operation periods. In this context, it is essential to know the behaviour of the subsurface after the ground improvement process. This study mainly investigates the accuracy of the settlement prediction methods during the post-construction stage of the Colombo-Katunayake Expressway Project in Sri Lanka. Settlement prediction was done for the Defect Liability Period using the hyperbolic method, the Mesri method and the Ladd method. A comparison of the predicted settlement with the measured field settlement was done to assess the accuracy of the settlement prediction methods. The comparison showed that the hyperbolic method was more accurate and convenient for predicting the settlement of the embankment. |
URI: | https://rda.sliit.lk/handle/123456789/3541 |
ISSN: | 2961 - 5410 |
Appears in Collections: | Journal of Advances in Engineering and Technology Volume 11, Issue 01 |
Files in This Item:
File | Description | Size | Format | |
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JAET_V2_Issue1_Oct 2023 Final 73-81.pdf | 572.38 kB | Adobe PDF | View/Open |
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