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Title: | Optimal Site Investigation Through Combined Geological and Property Uncertainties Analysis |
Authors: | Oluwatuyi, O. E. Ng, K. Wulff, S. S. Rajapakshage, R. |
Keywords: | Geostatistics · Geological uncertainty · Property uncertainty · Site investigation · Simulation |
Issue Date: | 2023 |
Publisher: | Geotechnical and Geological Engineering |
Citation: | Oluwatuyi, O. E., Ng, K., Wulff, S. S., & Rajapakshage, R. (2023). Optimal Site Investigation Through Combined Geological and Property Uncertainties Analysis. Geotechnical and Geological Engineering. https://doi.org/10.1007/s10706-023-02403-x |
Abstract: | Site investigation is crucial in character- izing the geomaterial profile for the design of bridge pile foundations. A site investigation plan should be conducted to maximize geomaterial information and minimize uncertainty. Thus, both geological and property uncertainties should be explicitly incorpo- rated into a site investigation plan. This leads to the question of how to choose the corresponding optimal number and location of boreholes in a multiphase site investigation plan in order to reduce these uncer- tainties. This study addresses these problems using multinomial categorical prediction and universal kriging on a random field with multiple simulations. Site investigation data for this study are taken from a bridge project in Iowa, USA, which consists of four boreholes, each within the proximity of the pile foundation location. Subsequent numbers of recom- mended boreholes and their associated locations are determined to minimize the combined uncertain- ties. The effectiveness of this combined analysis for determining an optimal site investigation plan (OSIP) is validated and compared to an analysis done solely on property uncertainty. The proposed OSIP yields a lower prediction error, improves the prediction of geomaterial type and property, and reduces the sub- surface uncertainties. The incorporation of OSIP invariably improves the design efficiency and perfor- mance of bridge pile foundations |
URI: | http://repository.kln.ac.lk/handle/123456789/26137 |
Appears in Collections: | Articles |
Files in This Item:
File | Description | Size | Format | |
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Optimal Site Investigation.pdf | 6.03 MB | Adobe PDF | View/Open |
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