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Characterising soil property in an area with limited measurement: a Bayesian approach

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Pages 189-196 | Received 18 Oct 2015, Accepted 29 Jun 2016, Published online: 19 Jul 2016
 

ABSTRACT

The Bayesian approach has been proved useful to geotechnical engineering especially when project-specific data/measurements are very limited. In this paper, we introduced a new Bayesian algorithm to estimate soil properties at each location of a study area, with very limited project-specific data. In addition to the proposed methodology and algorithms, we also conducted a model application to estimate soil permeability for each of the 64 locations within a 4-by-4 m2 area, based on very limited project-specific data, that is, one measurement from each location.

Acknowledgements

The authors appreciate the valuable comments from the Editor and Reviewers, making the submission much improved in so many aspects after revising.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Hong Kong University of Science and Technology for its financial support on the project [grant number DAG09/10.EG03].

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