Uncertainty Factors of a Finite Element Model using the Fuzzy Analysis Method

被引:0
|
作者
Suffian, Mohamad Syazwan Zafwan Mohamad [2 ]
Kamil, Syahiir [1 ]
Ariffin, Ahmad Kamal [1 ]
Azman, Abdul Hadi [1 ]
Ibrahim, Israr M. [3 ]
机构
[1] Univ Kebangsaan Malaysia, Fac Engn & Built Environm, Dept Mech & Mfg Engn, Bangi, Selangor, Malaysia
[2] Univ Malaysia Sarawak, Fac Engn, Dept Mech & Mfg Engn, Kota Samarahan, Sarawak, Malaysia
[3] Univ Syiah Kuala USK, Banda Aceh, Indonesia
来源
JURNAL KEJURUTERAAN | 2024年 / 36卷 / 01期
基金
欧盟地平线“2020”;
关键词
alpha-cut; finite element method; fuzzy analysis; structural integrity; uncertainty; OPTIMIZATION;
D O I
10.17576/jkukm-2024-36(1)-12
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The recent advancement in manufacturing technology in the automotive and aerospace sectors has led to the invention of advanced structured material, which is lightweight and a complex geometry model that can be manufactured. As it is related to human safety and hazards, the need for uncertainty analysis in a structure before and after a manufacturing process is a primary concern. Thus, this paper analyzes the uncertainty parameters of a meshed finite element model in the geometry, boundary condition, load, and material properties. An uncertainty analysis numerical tool, the fuzzy analysis method, is applied in Excel-VBA as the simulation platform. Each uncertainty parameter is in a range of numbers, with a maximum and minimum value as the limit. The alpha-cuts determine the fuzzy analysis output on the membership function. The deterministic value of the variable is implemented for comparison purposes. The simulation result for the von-Mises stress analysis has significantly impacted the uncertainty analysis as its curve has surpassed the yield strength limit of the material. The simulation output for the displacement has a more considerable uncertainty dispersion when compared to the other results. This study helps to find a better security margin of a structure for its sustainability in the future.
引用
收藏
页码:123 / 132
页数:10
相关论文
共 50 条
  • [1] Modeling and analysis of fuzzy systems using finite element method
    Rao, SS
    Weintraub, PN
    [J]. COLLECTION OF THE 41ST AIAA/ASME/ASCE/AHS/ASC STRUCTURES, STRUCTURAL DYNAMICS, AND MATERIALS CONFERENCE AND EXHIBIT, VOL 3, 2000, : 80 - 88
  • [2] UNCERTAINTY QUANTIFICATION IN THE ANALYSIS OF LIQUEFIED SOIL RESPONSE THROUGH FUZZY FINITE ELEMENT METHOD
    Kalateh, Farhoud
    Hosseinejad, Farideh
    Kheiry, Milad
    [J]. ACTA GEODYNAMICA ET GEOMATERIALIA, 2022, 19 (03): : 177 - 199
  • [3] Finite element analysis method for fuzzy structures
    Lei, Zhen-Yu
    Chen, Qiu
    [J]. Gongcheng Lixue/Engineering Mechanics, 2001, 18 (06): : 47 - 53
  • [4] A spectral approach for fuzzy uncertainty propagation in finite element analysis
    Adhikari, S.
    Khodaparast, H. Haddad
    [J]. FUZZY SETS AND SYSTEMS, 2014, 243 : 1 - 24
  • [5] A Kriging Surrogate Model for Uncertainty Analysis of Graphene Based on a Finite Element Method
    Shi, Jiajia
    Chu, Liu
    Braun, Robin
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2019, 20 (09)
  • [6] Uncertainty analysis on process responses of conventional spinning using finite element method
    Shi, F.
    Long, H.
    Zhan, M.
    Ou, H.
    [J]. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2014, 49 (05) : 839 - 850
  • [7] Modelling and uncertainty analysis of Seebeck coefficient measurements by using the finite element method
    Huang, K.
    Edler, F.
    Haupt, S.
    Ziolkowski, P.
    Stiewe, C.
    Mueller, E.
    [J]. MATERIALS TODAY-PROCEEDINGS, 2021, 44 : 3500 - 3505
  • [8] Uncertainty analysis on process responses of conventional spinning using finite element method
    F. Shi
    H. Long
    M. Zhan
    H. Ou
    [J]. Structural and Multidisciplinary Optimization, 2014, 49 : 839 - 850
  • [9] A comparison of models for uncertainty analysis by the finite element method
    de Lima, BSLP
    Ebecken, NFF
    [J]. FINITE ELEMENTS IN ANALYSIS AND DESIGN, 2000, 34 (02) : 211 - 232
  • [10] Model Uncertainty in Finite-Element Analysis: Bayesian Finite Elements
    Haukaas, T.
    Gardoni, P.
    [J]. JOURNAL OF ENGINEERING MECHANICS, 2011, 137 (08) : 519 - 526