- Title
- Settlement Predictions of a Trial Embankment on Ballina Clay
- Creator
- Huang, Shan; Huang, Jinsong; Kelly, Richard; Zeng, Cheng; Xie, Jiawei
- Relation
- International Journal of Geoengineering Case Histories Vol. 6, Issue 4, p. 101-114
- Publisher Link
- http://dx.doi.org/10.4417/IJGCH-06-04-07
- Publisher
- International Society for Soil Mechanics and Geotechnical Engineering
- Resource Type
- journal article
- Date
- 2021
- Description
- An instrumented trial embankment was constructed on the soft ground with the use of prefabricated vertical drains at Ballina in northern New South Wales (NSW, Australia) as part of the Australian Research Council Centre of Excellence for Geotechnical Science and Engineering (CGSE) research program. Comprehensive geotechnical site investigations were performed and field monitoring data were collected, which make it possible to study and compare various settlement prediction methods. In this paper, the Asaoka method, the Hyperbolic method, and the Bayesian updating approach are employed to predict the settlement of the trial embankment. The predictions of the three methods are compared for different amounts of monitoring data. The results show that the predicted settlements are close to the measurements and the accuracy of the ultimate settlement prediction can be improved by incorporating more monitoring data. The time increment can significantly influence the accuracy of the result predicted by the Asaoka method. The Bayesian updating approach is in agreement with the observed settlement by using only 215 days of the monitoring data.
- Subject
- Ballina clay; embankment; settlement prediction; bayesian updating; back analysis
- Identifier
- http://hdl.handle.net/1959.13/1435069
- Identifier
- uon:39603
- Identifier
- ISSN:1790-2045
- Language
- eng
- Full Text
- Reviewed
- Hits: 952
- Visitors: 966
- Downloads: 89
Thumbnail | File | Description | Size | Format | |||
---|---|---|---|---|---|---|---|
View Details Download | ATTACHMENT02 | Publisher version (open access) | 675 KB | Adobe Acrobat PDF | View Details Download |