Name
Title | ||
|---|---|---|
Structural reliability analysis based on polynomial chaos, Voronoi cells and dimension reduction technique |
Abstract | ||
|---|---|---|
•An unequal weighted sampling strategy is adopted to construct the sparse PCE.•Slice inverse regression is employed for dimension reduction when the dimension is very large.•A hybrid method combing polynomial chaos, Voronoi cells and dimension reduction is proposed to construct the surrogate models.•Numerical examples show the proposed method is fairly efficient and accurate for structural reliability analysis. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ress.2019.01.001 | Reliability Engineering & System Safety |
Keywords | Field | DocType |
Structural reliability,Large dimension,Sparse polynomial chaos expansion,Voronoi cells,Sliced inverse regression | Random variable,Dimensionality reduction,Sliced inverse regression,Unit-weighted regression,Algorithm,Polynomial chaos,Sampling (statistics),Deterministic system,Voronoi diagram,Engineering,Statistics | Journal |
Volume | ISSN | Citations |
185 | 0951-8320 | 0 |
PageRank | References | Authors |
0.34 | 19 | 2 |