Tensile fatigue life prediction of adhesively bonded structures based on CZM technique and a modified degradation approach

被引:7
作者
Akhavan-Safar, A. [1 ]
Monteiro, J. [2 ]
Carbas, R. [1 ]
Marques, E. [1 ]
Goyal, R. [3 ]
da Silva, L. F. M. [2 ]
机构
[1] Inst Sci & Innovat Mech & Ind Engn INEGI, Rua Dr Roberto Frias, P-4200465 Porto, Portugal
[2] Univ Porto, Dept Mech Engn, Fac Engn, Porto, Portugal
[3] Deere & Co, Asia Technol & Innovat Ctr, Pune, Maharashtra, India
关键词
Adhesive joint; fatigue; CZM; mode I; properties degradation; Paris law; STRESS RATIO; DAMAGE MODEL; DELAMINATION; PROPAGATION; ELEMENT; JOINTS; SIMULATION;
D O I
10.1177/0954410020951675
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Due to their inherent advantages, the use of adhesive joints is widely increasing in advanced industrial sectors such as automotive and aircraft structures, where the lightweight components play a significant role in the efficiency of the products. These structural adhesively bonded connections mostly experience cyclic stress conditions during their service life. One of the most critical fatigue loading conditions for adhesive joints is the tensile cyclic loading. To design against tensile fatigue conditions recently a cohesive zone modelling (CZM) technique combined with a degradation approach was proposed in the literature. However, to apply this degradation method on cohesive elements, the total fatigue life of the joints should be known before the analysis. The aim of the current work is to improve this degradation approach to calculate the fatigue life automatically. To achieve this, a combination of Paris law and degradation model were considered in a numerical procedure. Using the Paris law and the experimental results obtained out of the fatigue crack propagation tests of DCB (double cantilever beam) specimens, the tensile fatigue life of each integration point (IP) during the analysis is estimated automatically. The model was validated and calibrated by experimental data.
引用
收藏
页码:1988 / 1999
页数:12
相关论文
共 46 条
  • [31] A microstructure-based numerical approach for uniaxial fatigue life-based non-uniaxial fatigue life prediction of hypo-eutectoid steels
    Shin, Jonghoon
    Kim, Hyunki
    Kang, Minwoo
    Lee, Chungan
    Hong, Seunghyun
    Choi, Yoon Suk
    JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2025, 34 : 785 - 796
  • [32] Fatigue life prediction and optimization of GFRP composites based on Failure Tensor Polynomial in Fatigue model with exponential fitting approach
    Gunes, Mehmet D.
    Imamoglu Karabas, Neslisah
    Deveci, Hamza A.
    Tanoglu, Gamze
    Tanoglu, Metin
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2022, 236 (19) : 10290 - 10303
  • [33] Fatigue Life Prediction of Notched Details Using SWT Model and LEFM-Based Approach
    Hao, Rui
    Wen, Zongyi
    Xin, Haohui
    Lin, Weiwei
    MATERIALS, 2023, 16 (05)
  • [34] An online model-based fatigue life prediction approach using extended Kalman filter
    Kuncham, Eshwar
    Sen, Subhamoy
    Kumar, Pankaj
    Pathak, Himanshu
    THEORETICAL AND APPLIED FRACTURE MECHANICS, 2022, 117
  • [35] A Fatigue Life Prediction Model Based on Modified Resolved Shear Stress for Nickel-Based Single Crystal Superalloys
    Wang, Jialiang
    Wei, Dasheng
    Wang, Yanrong
    Jiang, Xianghua
    METALS, 2019, 9 (02)
  • [36] Machine learning-based approach for fatigue crack growth prediction using acoustic emission technique
    Chai, Mengyu
    Liu, Pan
    He, Yuhang
    Han, Zelin
    Duan, Quan
    Song, Yan
    Zhang, Zaoxiao
    FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 2023, 46 (08) : 2784 - 2797
  • [37] Prediction of Rubber Fatigue Life Using an Assimilation-based Learning Approach and Incremental Crack Propagation Model
    Fang, Congzhuo
    Chen, Yanfu
    Yang, Zihao
    Zhang, Yiyuan
    He, Xindang
    FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 2025, 48 (01) : 312 - 323
  • [38] Fatigue Damage Evolution Model of Ceramic Matrix Composites Structures Based on Hysteresis loss Energy and life Prediction at Elevated Temperatures
    Sheng Zhang
    Tong Wang
    Chengqian Dong
    Xiaoqiang Liang
    Xiguang Gao
    Yingdong Song
    Fang Wang
    Applied Composite Materials, 2025, 32 (2) : 599 - 623
  • [39] The EIFS-based fatigue life prediction approach of nickel-based single crystals with film cooling holes at elevated temperature
    Li, Fei
    Wen, Zhixun
    Wu, Ziyan
    Li, Zhenwei
    Pei, Haiqing
    Yin, Qian
    Mao, Qianzhu
    Yue, Zhufeng
    INTERNATIONAL JOURNAL OF FATIGUE, 2023, 166
  • [40] A comparative study of tensile fatigue life in various flexible-oriented three-dimensional woven process structures based on finite element models
    Tan, Chenchen
    Huang, Hao
    Sun, Zheng
    Shan, Zhongde
    Guo, Zitong
    Guo, Kehong
    Bian, Jinshuai
    Wang, Weihao
    COMPOSITE STRUCTURES, 2025, 352