Probabilistic analysis of strip footings resting on a spatially random soil using subset simulation approach

By Ashraf Ahmed, A. Soubra. 2012

80 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/07800fb973b41912960ac6c5327becc183f24144

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

1. Jianye Ching
2. Kok-Kwang Phoon
3. Shihong Wu
4. Dianqing Li
5. Z. Cao
6. A. Stuedlein
7. James L. Beck
8. Zhiyong Yang

In Safety, Risk, Reliability and Quality

1. Jianye Ching
2. Kok-Kwang Phoon
3. Shihong Wu
4. Dianqing Li
5. Z. Cao
6. A. Stuedlein
7. Marcos A. Valdebenito
8. Gerhart I. Schuëller

Citations in the corpus

• Statistical characterization of random field parameters using frequentist and Bayesian approaches (2016, background): “and Sivakumar Babu (2009), and Ahmed and Soubra (2012, 2014). The impact on piles has been studied by Haldar and Sivakumar Babu (2008), Fan and Liang (2013), and Wang and Cao (2013a); on”
• Characterizing geotechnical anisotropic spatial variations using random field theory (2013, unknown): “Special time-saving techniques applied in stochastic analyses of slope stability and strip footings considering soil spatial variability have also been developed (e.g., Santoso et al. 2011; Ahmed and Soubra 2012; Zhu et al. 2013).”