Effect of spatial variability of cross‐correlated soil properties on bearing capacity of strip footing
By Sung-Eun Cho, Hyung-Choon Park. 2010
173 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Safety, Risk, Reliability and Quality, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/327b66a6f082975a50dd286754784d10d14ecd03
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Iason Papaioannou
- T. Al‐Bittar
- Daniel Straub
- A. Soubra
- Dianqing Li
- Yiannis Papadopoulos
- Sohag Kabir
- Kok-Kwang Phoon
In Safety, Risk, Reliability and Quality
In Statistics and Probability
- Iason Papaioannou
- Daniel Straub
- T. Al‐Bittar
- A. Soubra
- Dianqing Li
- Kai Cheng
- Xiaobo Zhang
- Yanping Wang
Citations in the corpus
- Learning soil parameters and updating geotechnical reliability estimates under spatial variability – theory and application to shallow foundations (2017, background): “A common choice for the marginal distribution of soil properties is the lognormal distribution (e.g. Phoon, Kulhawy, and Grigoriu 1995; Griffiths and Fenton 2001; Cho and Park 2010).”
- Bearing capacity of strip footings on spatially random soils using sparse polynomial chaos expansion (2011, background): “[6], Soubra and Youssef Abdel Massih [7] and Cho and Park [8].”
- Probabilistic analyses of a strip footing on horizontally stratified sandy deposit using advanced constitutive model (2011, unknown): “While most application of probabilistic methods to the foundation problems focus on the evaluation of the bearing capacity [17, 15, 7, 11, 28, 29, 21, 13], less attention is payed to the quantification of the uncertainty in serviceability limit states.”