Quadtree SBFEM and optimization based forward and inverse interval analysis for PCM-integrated walls

被引:1
|
作者
Dong, Xingcong [1 ]
Yang, Haitian [1 ]
He, Yiqian [1 ]
机构
[1] Dalian Univ Technol, Dept Engn Mech, State Key Lab Struct Anal Optimizat & CAE Software, Dalian 116024, Peoples R China
关键词
Forward and inverse interval analysis; optimization method; PCM integrated walls; quadtree SBFEM; surrogate model; PHASE-CHANGE MATERIALS; FINITE-ELEMENT-METHOD; CONVECTION-DIFFUSION PROBLEM; THERMAL-CONDUCTIVITY; ENERGY PERFORMANCE; IMAGE; PROPAGATION; INTERPOLATION; REFINEMENT; SIMULATION;
D O I
10.1080/10407790.2023.2253363
中图分类号
O414.1 [热力学];
学科分类号
摘要
Interval model is employed to describe the uncertain behavior of phase change materials (PCM) integrated walls. A numerical model is developed for the forward interval analysis, by which the interval bounds of thermal response, such as the temperature on the inner wall and the degree of phase change of PCM, can be estimated when materials and environmental parameters are interval variables. This model integrates the advantages of the quadtree-scaled boundary finite element method (quadtree SBFEM), the Legendre polynomial surrogate (LPS), interval model, and optimization method, to gain a comprehensive benefit of convenient mesh regeneration, reliable bounds estimation, and the alleviation of heavy computational burden in the optimization process. On the other side, a numerical model is presented for the inverse interval analysis, by which the interval bounds of material parameters can be identified when the intervals of measurement of temperature and the degree of phase change of PCM are provided, and the impact of nosy data is taken into account. This model may be enlightening for a deeper investigation of inverse interval analysis of PCM-integrated walls since no attention seems to have been paid to this issue. In terms of computing accuracy, computational cost, and numerical examples are provided to elucidate the effectiveness of proposed approaches, and satisfactory results are achieved in both forward and inverse interval analysis.
引用
收藏
页码:683 / 705
页数:23
相关论文
共 50 条
  • [31] Sensitivity analysis and optimization of PCM integrated buildings in a tropical savanna climate
    Saurbayeva, Assemgul
    Memon, Shazim Ali
    Kim, Jong
    JOURNAL OF BUILDING ENGINEERING, 2023, 64
  • [32] Research on Interval Reversible Inverse Analysis Method Based on Interval Parameters
    Su Jingbo
    Liu Hongbing
    Zhao Huide
    Zhang Dong
    MECHATRONICS AND INTELLIGENT MATERIALS III, PTS 1-3, 2013, 706-708 : 556 - +
  • [33] A novel framework for developing a machine learning-based forecasting model using multi-stage sensitivity analysis to predict the energy consumption of PCM-integrated building
    Nazir, Kashif
    Memon, Shazim Ali
    Saurbayeva, Assemgul
    APPLIED ENERGY, 2024, 376
  • [34] Taguchi Analysis for Improving Optimization of Integrated Forward/Reverse Logistics
    Elham Behmanesh
    Jürgen Pannek
    Journal of the Operations Research Society of China, 2023, 11 : 529 - 552
  • [35] Taguchi Analysis for Improving Optimization of Integrated Forward/Reverse Logistics
    Behmanesh, Elham
    Pannek, Juergen
    JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF CHINA, 2023, 11 (03) : 529 - 552
  • [36] Thermal performance analysis of lightweight building walls in different directions integrated with phase change materials (PCM)
    Liu, Zu'an
    Hou, Jiawen
    Wei, Dong
    Meng, Xi
    Dewancker, Bart Julien
    CASE STUDIES IN THERMAL ENGINEERING, 2022, 40
  • [37] Adaptive recursive scaled boundary finite element method for forward and inverse interval viscoelastic analysis
    Wang, Chongshuai
    He, Yiqian
    Yang, Haitian
    ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS, 2021, 128 : 257 - 273
  • [38] Crouch Gait Analysis and Visualization Based on Gait Forward and Inverse Kinematics
    Gonzalez-Islas, Juan-Carlos
    Dominguez-Ramirez, Omar-Arturo
    Lopez-Ortega, Omar
    Pena-Ramirez, Jonatan
    Ordaz-Oliver, Jesus-Patricio
    Marroquin-Gutierrez, Francisco
    APPLIED SCIENCES-BASEL, 2022, 12 (20):
  • [39] Inverse problem model of power system reliability evaluation based on interval optimization algorithm
    Peng L.
    Hu B.
    Xie K.
    Sun Y.
    Huang W.
    Cao K.
    Zhou K.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2023, 43 (02): : 169 - 177and190
  • [40] A surrogate model based nested optimization framework for inverse problem considering interval uncertainty
    Hai Fang
    Chunlin Gong
    Chunna Li
    Xu Li
    Hua Su
    Liangxian Gu
    Structural and Multidisciplinary Optimization, 2018, 58 : 869 - 883