Transient response bounds analysis of heat transfer problems based on interval process model

被引:5
|
作者
Tian, Wanyi [1 ,2 ]
Ni, Bingyu [1 ]
Jiang, Chao [1 ]
Wu, Zhantao [1 ,2 ]
机构
[1] Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China
[2] Hunan Univ, Modern Engn Training Ctr, Changsha 410082, Hunan, Peoples R China
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
Transient heat transfer; Interval process model; Response bounds analysis; Interval K-L expansion; NONPROBABILISTIC CONVEX MODEL; UNCERTAINTY QUANTIFICATION; CONDUCTION; OPTIMIZATION; PREDICTION;
D O I
10.1016/j.ijheatmasstransfer.2019.119027
中图分类号
O414.1 [热力学];
学科分类号
摘要
A transient temperature response analysis method for heat transfer problems with dynamic uncertain parameters is proposed. The time-variant or dynamic uncertain parameters are quantified by an interval process model using only the variation bounds of uncertainty, providing an effective way for problems where probabilistic modeling of the dynamic uncertainties is unfeasible due to lack of sufficient sample data. The interval Karhunen-Loeve (K-L) expansion is adopted to represent the interval processes, thus describing accurately the continuous uncertainty over time by a series of interval variables. For convenience of solution, the Laplace transformation is then applied to transform the heat transfer uncertainty analysis over time domain to the complex field, where the analytical solution for the upper and lower bounds of the transient temperature responses can be obtained. Finally, the computational effectiveness and efficiency of the proposed method are verified by three typical numerical examples. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页数:12
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