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Bilevel Data-Driven Modeling Framework for High-Dimensional Structural Optimization under Uncertainty Problems
| 题名： | Bilevel Data-Driven Modeling Framework for High-Dimensional Structural Optimization under Uncertainty Problems |
| 正文语种： | 英语 |
| 作者： | Subhrajit Dutta;Amir H. Gandomi, Aff.; |
| 作者单位： | National Institute of Technology Silchar;Univ, of Technology Sydney |
| 关键词： | Optimization under uncertainty; Data-driven model; Model order reduction; Uncertainty quantification; Proper orthogonal decomposition; Polynomial chaos expansion. |
| 摘要： | Optimization under uncertainty (OUU) is a robust framework to obtain optimal designs for real engineering problems considering uncertainties. The numerical solution for large-scale problems involving millions of degrees-of-freedom is typically computation |
| 出版日期： | 2020 |
| 出版年： | 2020 |
| 期刊名称： | Journal of Structural Engineering |
| 卷： | Vol.146 |
| 期： | No.11 |
| 页码： | 04020245 |
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