- Title
- Probabilistic stability analysis of slopes by conditional random fields
- Creator
- Yang, Rui; Huang, Jinsong; Griffiths, D. V.; Sheng, Daichao
- Relation
- Geo-Risk 2017. Geo-Risk 2017: Impact of Spatial Variability, Probabilistic Site Characterization, and Geohazards (Denver, CO 4-7 June, 2017) p. 450-459
- Publisher Link
- http://dx.doi.org/10.1061/9780784480717.043
- Publisher
- American Society of Civil Engineers (ASCE)
- Resource Type
- conference paper
- Date
- 2017
- Description
- Slope stability analysis is a branch of geotechnical engineering that is highly amenable to probabilistic treatment. The engineering properties of soils vary spatially, however geotechnical tests can only investigate a small proportion of the site. When random field theory is used to model the spatial variability of soils, the associated statistics are inferred from geotechnical tests, however the random fields do not necessarily account for the specific deterministic properties, albeit limited, as measured from the site investigation data. In this paper, conditional random fields are used to model the spatial variability of soils taking account of the actual site-specific data obtained. Numerical results presented in this paper show that inclusion of this data can be an important factor in the determination of slope reliability.
- Subject
- slope stability analysis; geotechnical engineering; soils; random field theory
- Identifier
- http://hdl.handle.net/1959.13/1387042
- Identifier
- uon:32511
- Identifier
- ISBN:9780784480717
- Language
- eng
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