Elastic Stress Predictor for Stochastic Finite Element Problems

• 作者: Drakos Stefanos
• 来源期刊: 力学国际期刊(英文)
• 学科: 数学
• 关键词: POLYNOMIAL CHAOS STOCHASTIC Finite Element Karhunen-Loeve EXPANSION Quantification of UNCERTAINTY
• 年，卷（期）: 2015,（11）
• 页码范围: 222-233
• 页数: 12页
• 分类号: O1

摘要

The paper presents a new algorithm of elastic stress predictor in non linear stochastic finite element method using the Generalized Polynomial Chaos. The statistical moments of strains calculated based on the displacement Polynomial Chaos expansion. To descretise the stochastic process of material the Karhunen-Loeve Expansion was used and it is presented. Using the strains and the material Karhunen-Loeve Expansion the stress components are calculated. A numerical example of shallow foundation was carried out and the results of stress and strain of the new algorithm were compared with those raised from Monte Carlo method which is treated as the exact solution. A great accuracy was presented.