Research on Kriging-Based Uncertainty Quantification and Robust Design Optimization

被引：0
|
作者：
Tao, Zhi [1 ]
Guo, Zhen-Dong [1 ]
Li, Chen-Xi [1 ]
Song, Li-Ming [1 ]
Li, Jun [1 ]
Feng, Zhen-Ping [1 ]
机构：
[1] School of Energy & Power Engineering, Xi'an Jiaotong Universtiy, Xi'an,710049, China
来源：
Kung Cheng Je Wu Li Hsueh Pao/Journal of Engineering Thermophysics | 2019年 / 40卷 / 03期
关键词：
Kriging surrogate model - Multi-objective differential evolution algorithms - Reynolds-averaged navier stokes solvers - Robust design optimization - Thermal Performance - Uncertainty parameters - Uncertainty quantifications - Vortex generators;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
11
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收藏
页码：537 / 542
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