Collocation-based stochastic finite element analysis for random field problems
By Shuping Huang, Sankaran Mahadevan, Ramesh Rebba. 2007
198 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Environmental Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4ad5a58f06511eb32f92f52fe1d10e7d8f9b475f
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In Civil and Structural Engineering
- Dianqing Li
- Chuangbing Zhou
- Kok-Kwang Phoon
- Xiaoying Zhuang
- Timon Rabczuk
- Yi‐Feng Chen
- Zhen Hu
- A. Long
In Environmental Engineering
In Statistics and Probability
- Dianqing Li
- Kok-Kwang Phoon
- Chuangbing Zhou
- Sankaran Mahadevan
- Zhen Hu
- Yi‐Feng Chen
- T. Mesogitis
- A. Long
Citations in the corpus
- The stochastic finite element method: Past, present and future (2009, unknown): “solid, structural and fluid mechanics, acoustics, heat transfer) [1–4,13–15,18,20,22–29,31,32,37,40,42,44–46,48–51,57–69,72,74, 89,91,92,94–96,99,103,104,106–108,111–113,116–124,126–139,148, 154,155,158,160,162,166,173,175,188,196].”
- Geotechnical probabilistic analysis by collocation-based stochastic response surface method: An Excel add-in implementation (2009, methodology): “The unknown coefficients are evaluated using a collocation method (Tatang 1995, Isukapalli 1999, Huang et al. 2007).”
- Stochastic analysis of the fracture toughness of polymeric nanoparticle composites using polynomial chaos expansions (2017, methodology): “The regression method which known also as stochastic collocation is based on least square minimization of error between a variable and its truncated approximation (Huang et al. 2007; Isukapalli 1999).”
- A Single-Loop Kriging Surrogate Modeling for Time-Dependent Reliability Analysis (2016, methodology): “In both the double-loop procedure and SILK, stochastic processes Y t ð Þ first need to be represented as independent random variables using the KL expansion [29].”
- Uncertainty in the manufacturing of fibrous thermosetting composites: A review (2014, methodology): “More details concerning the SSFEM and the probabilistic collocation method can be found in [6,7].”
- Stochastic response surface method for reliability analysis of rock slopes involving correlated non-normal variables (2011, methodology): “[14] extended SRSM to random field problems.”