Co-kriging based multi-fidelity uncertainty quantification of beam vibration using coarse and fine finite element meshes

被引:4
|
作者
Rohit, R. Julian [1 ]
Ganguli, Ranjan [1 ]
机构
[1] Indian Inst Sci, Dept Aerosp Engn, Bangalore, Karnataka, India
关键词
Beam vibration; co-kriging; Latin hypercube sampling; Monte Carlo simulation; multi-fidelity; uncertainty quantification; SHAPE OPTIMIZATION; APPROXIMATION; SIMULATION; MODELS;
D O I
10.1080/15502287.2021.1921883
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Multi-fidelity models have exploded in popularity as they promise to circumvent the computational complexity of a high-fidelity model without sacrificing accuracy. In this paper, we demonstrate the process of building a multi-fidelity model and illustrate its advantage through an uncertainty quantification study using the beam vibration problem. A multi-fidelity co-kriging model is built with data from low- and high-fidelity models, which are finite element models with coarse and fine discretization, respectively. The co-kriging model's predictive capabilities are excellent, achieving accuracy within 1% of the high-fidelity model while providing 98% computational savings over the high-fidelity model in the uncertainty quantification study.
引用
收藏
页码:147 / 168
页数:22
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