Name
Title | ||
|---|---|---|
Statistical model calibration and design optimization under aleatory and epistemic uncertainty |
Abstract | ||
|---|---|---|
•Statistical model calibration using stochastic Kriging is developed.•Unknown model parameters and model discrepancy are estimated.•Epistemic uncertainty caused by insufficient data is quantified.•Confidence-based design optimization using the calibrated model is performed. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.ress.2022.108428 | Reliability Engineering & System Safety |
Keywords | DocType | Volume |
Statistical model calibration,Stochastic Kriging,Maximum likelihood estimation (MLE),Epistemic uncertainty,Reliability-based design optimization (RBDO),Confidence-based design optimization (CBDO) | Journal | 222 |
ISSN | Citations | PageRank |
0951-8320 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yongsu Jung | 1 | 0 | 1.01 |
| Hwisang Jo | 2 | 0 | 0.34 |
| Jeonghwan Choo | 3 | 0 | 0.34 |
| Ikjin Lee | 4 | 0 | 0.34 |