Gaussian Process‐Based Response Surface Method for Slope Reliability Analysis Article Swipe
YOU?
·
· 2019
· Open Access
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· DOI: https://doi.org/10.1155/2019/9185756
A new response surface method (RSM) for slope reliability analysis was proposed based on Gaussian process (GP) machine learning technology. The method involves the approximation of limit state function by the trained GP model and estimation of failure probability using the first‐order reliability method (FORM). A small amount of training samples were firstly built by the limited equilibrium method for training the GP model. Then, the implicit limit state function of slope was approximated by the trained GP model. Thus, the implicit limit state function and its derivatives for slope stability analysis were approximated by the GP model with the explicit formulation. Furthermore, an iterative algorithm was presented to improve the precision of approximation of the limit state function at the region near the design point which contributes significantly to the failure probability. Results of four case studies including one nonslope and three slope problems indicate that the proposed method is more efficient to achieve reasonable accuracy for slope reliability analysis than the traditional RSM.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2019/9185756
- https://downloads.hindawi.com/journals/ace/2019/9185756.pdf
- OA Status
- gold
- Cited By
- 11
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2923871099
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- OpenAlex ID
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https://openalex.org/W2923871099Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1155/2019/9185756Digital Object Identifier
- Title
-
Gaussian Process‐Based Response Surface Method for Slope Reliability AnalysisWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
-
2019-01-01Full publication date if available
- Authors
-
Bin Hu, Guoshao Su, Jianqing Jiang, Yilong XiaoList of authors in order
- Landing page
-
https://doi.org/10.1155/2019/9185756Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/ace/2019/9185756.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://downloads.hindawi.com/journals/ace/2019/9185756.pdfDirect OA link when available
- Concepts
-
Reliability (semiconductor), Limit (mathematics), Gaussian, Response surface methodology, Function (biology), Mathematics, Slope stability, Limit state design, Stability (learning theory), Applied mathematics, Gaussian process, Surface (topology), Process (computing), Computer science, Algorithm, Mathematical optimization, Statistics, Machine learning, Mathematical analysis, Structural engineering, Geometry, Power (physics), Engineering, Geotechnical engineering, Evolutionary biology, Operating system, Quantum mechanics, Biology, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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11Total citation count in OpenAlex
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2025: 2, 2024: 2, 2023: 1, 2022: 2, 2021: 1Per-year citation counts (last 5 years)
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33Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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