Predicting subsurface classification in 2D from cone penetration test data-Reference-Cited by-同舟云学术

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Predicting subsurface classification in 2D from cone penetration test data

Published:2023-11 Issue: Volume:43 Page:101128
ISSN:2214-3912
Container-title:Transportation Geotechnics
language:en
Short-container-title:Transportation Geotechnics

Author:

Varkey Divya,Hicks Michael A.,van den Eijnden Abraham P.

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

ProRail

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Transportation,Civil and Structural Engineering

Reference25 articles.

1. Bayesian approach for probabilistic site characterization using cone penetration tests;Cao;J Geotech Geoenviron Eng,2013

2. Assessment of soil spatial variability for linear infrastructure using cone penetration tests;de Gast;Géotechnique,2021

3. Influence of spatial variability on slope reliability using 2-D random fields;Griffiths;J Geotech Geoenviron Eng,2009

4. Influence of heterogeneity on undrained clay slope stability;Hicks;Q J Eng Geol Hydrogeol,2002

5. Influence of heterogeneity on the reliability and failure of a long 3D slope;Hicks;Comput Geotech,2010

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Explicit consideration of geomaterial uncertainties in the load resistance factor design of piles driven into rock-based intermediate geomaterials;Transportation Geotechnics;2024-09

2. Preface to the Special Issue on Geotechnical asset deterioration and climate change;Transportation Geotechnics;2024-03

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