Abstract
To evaluate statistical moments of response, reliability and reliability sensitivity of stochastic structures, a new stochastic finite element method is presented on the basis of Hermite polynomials approximation. Decomposition is used to transform the multi-dimensional response function into one-dimensional function. And then the Hermite polynomials are employed to approximate the one-dimensional response function, and the coefficients of the Hermite polynomials can be determined by the Gauss-Hermite integration. The statistical moments, failure probability and reliability sensitivity of the approximately explicit response function are obtained by Monte-Carlo numerical simulation, where the computation of derivatives and design points becomes unnecessary. A few examples demonstrate the validity.
| Original language | English |
|---|---|
| Pages (from-to) | 569-574 |
| Number of pages | 6 |
| Journal | Yingyong Lixue Xuebao/Chinese Journal of Applied Mechanics |
| Volume | 26 |
| Issue number | 3 |
| State | Published - Sep 2009 |
Keywords
- Decomposition method
- Hermite polynomials approximation
- Probability analysis
- Stochastic structures
- The gauss-hermite integration
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