Name
Title | ||
|---|---|---|
An active learning reliability method combining Kriging constructed with exploration and exploitation of failure region and subset simulation |
Abstract | ||
|---|---|---|
•A new reliability method combining Kriging and subset simulation is proposed.•Kriging is constructed based on exploration and exploitation of failure region.•Error measure functions are defined to quantify Kriging metamodel error.•The proposed method can handle problems with small failure probabilities.•Results of seven examples verify the accuracy and efficiency of proposed method. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ress.2019.03.002 | Reliability Engineering & System Safety |
Keywords | Field | DocType |
Subset simulation,Kriging metamodel,Exploration and exploitation,Error measure function | Kriging,Data mining,Active learning,Nonlinear system,Engineering,Metamodeling,Subset simulation,Reliability engineering | Journal |
Volume | ISSN | Citations |
188 | 0951-8320 | 3 |
PageRank | References | Authors |
0.38 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinhao Zhang | 1 | 3 | 0.72 |
| Mi Xiao | 2 | 18 | 4.75 |
| Liang Gao | 3 | 1493 | 128.41 |