Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Civil and Environmental Engineering | en_US |
| dc.contributor.advisor | Leung, Y. F. Andy (CEE) | en_US |
| dc.creator | Wong, Lai Kan | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/10854 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | en_US |
| dc.rights | All rights reserved | en_US |
| dc.title | Robustness of frequentist approach in characterization of soil spatial variability | en_US |
| dcterms.abstract | Site uncertainty is often found whenever we come with geotechnical design. Using trend function to describe or summarise the data collected from soil laboratory tests or ground inspection works is considerably prevalent in the current practice in order to have an overview of site characteristics for soil or rock properties. An advanced technique with additional consideration of spatial variability is often modelled in collaboration of trend surfaces and residual variations about their trends. Two methods from frequentist approach, called method of moment (MoM) and maximum likelihood (ML) technique, have been developed for decades to search for the optimal parameters of both trend surfaces and autocovariance structures of their residuals. In order to verify its robustness, this report will study different datasets at a particular and isotropic site and compare results with other traditional methods. | en_US |
| dcterms.extent | iv, 63, vi pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2020 | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.LCSH | Soil mechanics | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 5305.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 5.64 MB | Adobe PDF | View/Open |
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