标题
Defining the soil stratigraphy from seismic piezocone data: A clustering approach
作者
关键词
In-situ testing, Penetration tests, Statistical analysis, Soil classification
出版物
ENGINEERING GEOLOGY
Volume 287, Issue -, Pages 106111
出版商
Elsevier BV
发表日期
2021-03-25
DOI
10.1016/j.enggeo.2021.106111
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Non-parametric machine learning methods for interpolation of spatially varying non-stationary and non-Gaussian geotechnical properties
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- Probabilistic soil classification and stratification in a vertical cross-section from limited cone penetration tests using random field and Monte Carlo simulation
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- Stratigraphic uncertainty modelling with random field approach
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- Comparative analysis of liquefaction susceptibility assessment methods based on the investigation on a pilot site in the greater Lisbon area
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- Identification of sample path smoothness in soil spatial variability
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- System response of liquefiable deposits
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- Deeper V s profile constraining the dispersion curve with the ellipticity curve: A case study in Lower Tagus Valley, Portugal
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- A hidden Markov random field model based approach for probabilistic site characterization using multiple cone penetration test data
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- (2017) R. B. Kelly et al. GEOTECHNIQUE
- Cone penetration test (CPT)-based soil behaviour type (SBT) classification system — an update
- (2016) P.K. Robertson CANADIAN GEOTECHNICAL JOURNAL
- Evaluation of CPT-based characterization methods for loose to medium-dense sands
- (2016) Abouzar Sadrekarimi SOILS AND FOUNDATIONS
- Probabilistic identification of underground soil stratification using cone penetration tests
- (2013) Yu Wang et al. CANADIAN GEOTECHNICAL JOURNAL
- Bayesian Approach for Probabilistic Site Characterization Using Cone Penetration Tests
- (2012) Zijun Cao et al. JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
- Utilization of self-organizing map and fuzzy clustering for site characterization using piezocone data
- (2008) Sarat Kumar Das et al. COMPUTERS AND GEOTECHNICS
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