Non-probabilistic approach to investigate uncertain conjugate heat transfer in an imprecisely defined plate

被引:21
|
作者
Nayak, S. [1 ]
Chakraverty, S. [1 ]
机构
[1] Natl Inst Technol, Dept Math, Rourkela 769008, Odisha, India
关键词
Conjugate heat transfer; Triangular fuzzy number; Fuzzy finite element method; MONTE-CARLO-SIMULATION; CONDUCTION; VARIABILITY;
D O I
10.1016/j.ijheatmasstransfer.2013.08.036
中图分类号
O414.1 [热力学];
学科分类号
摘要
Conjugate heat transfer is a process which involves a coupling of conduction in the solid and convection in the fluid. Previously various investigations have been done in this field by considering only crisp parameters. But we may not ignore the uncertainty involved in this system. So to get more acceptable and reliable results we have taken the involved parameters as uncertainty in terms of fuzzy. Here we have presented a modified form of Fuzzy Finite Element Method (FFEM) to handle the titled problem. However FFEM involves the complicated operation of uncertain/ fuzzy numbers. So, these fuzzy numbers are first changed into intervals through alpha-cut and then it is converted into crisp form by a proposed procedure. This crisp representation is used as a tool to handle fuzzy finite element method. In order to demonstrate the proposed method, we have investigated a conjugate heat transfer problem for a square plate. Finally obtained results from the proposed method are compared with the crisp results and the variability of uncertainty is studied. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:445 / 454
页数:10
相关论文
共 50 条
  • [31] Non-probabilistic uncertain inverse problem method considering correlations for structural parameter identification
    Heng Ouyang
    Jie Liu
    Xu Han
    Bingyu Ni
    Guirong Liu
    Yixin Lin
    Structural and Multidisciplinary Optimization, 2021, 64 : 1327 - 1342
  • [32] Non-probabilistic uncertain inverse problem method considering correlations for structural parameter identification
    Ouyang, Heng
    Liu, Jie
    Han, Xu
    Ni, Bingyu
    Liu, Guirong
    Lin, Yixin
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2021, 64 (03) : 1327 - 1342
  • [33] Vibro-acoustic response prediction of uncertain structures with mixed type of probabilistic and non-probabilistic uncertainty descriptions
    Cicirello, A.
    Langley, R. S.
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2014) AND INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2014), 2014, : 4623 - 4636
  • [34] Non-probabilistic robust optimization approach for flood control system design
    Housh, Mashor
    ENVIRONMENTAL MODELLING & SOFTWARE, 2017, 95 : 48 - 60
  • [35] A decoupled approach for non-probabilistic reliability-based design optimization
    Meng, Zeng
    Zhou, Huanlin
    Li, Gang
    Yang, Dixiong
    COMPUTERS & STRUCTURES, 2016, 175 : 65 - 73
  • [36] Towards a Non-probabilistic Approach to Hybrid Geometry-Topological SLAM
    Li, Hai
    Chen, Qijun
    2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 1045 - 1050
  • [37] Measuring Opacity for Non-Probabilistic DES: a SOG-based Approach
    Bourouis, Amina
    Klai, Kais
    Ben Hadj-Alouane, Nejib
    2019 24TH INTERNATIONAL CONFERENCE ON ENGINEERING OF COMPLEX COMPUTER SYSTEMS (ICECCS 2019), 2019, : 242 - 247
  • [38] Conjugate Heat Transfer for a Vertical Flat Plate with Heat Generation Effect
    Mamun, A. A.
    Chowdhury, Z. R.
    Azim, M. A.
    Maleque, M. A.
    NONLINEAR ANALYSIS-MODELLING AND CONTROL, 2008, 13 (02): : 213 - 223
  • [39] On modelling non-probabilistic uncertainty in the likelihood ratio approach to evidential reasoning
    Keppens J.
    Artificial Intelligence and Law, 2014, 22 (3) : 239 - 290
  • [40] Approach of non-probabilistic reliability topology optimization using evidence theory
    Su Y.
    Tang H.
    Xue S.
    Su J.
    Zhongguo Kexue Jishu Kexue/Scientia Sinica Technologica, 2019, 49 (03): : 320 - 330