Low-cycle fatigue life prediction of spot welds based on hardness distribution and finite element analysis

被引:30
|
作者
Wang, Rui-Jie [1 ]
Shang, De-Guang [1 ]
机构
[1] Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100022, Peoples R China
基金
北京市自然科学基金;
关键词
Hardness; Local stress-strain; Finite element analysis; Spot welds; Fatigue life; BEHAVIOR;
D O I
10.1016/j.ijfatigue.2008.04.009
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Elasto-plastic finite element analysis was carried Out for single spot tensile shear spot welds with software ANSYS. According to the relationship between micro-hardness and strength, cyclic material constants of different zones in the periphery of spot welds were determined in accordance with hardness distribution, as well as base material fatigue parameters. Using the local stress and strain obtained from finite element analysis, fatigue lives of spot welds were predicted with Morrow's modified Manson-Coffin equation and Smith-Watson-Topper damage equation. Life prediction results showed that both equations gave good agreement with experimental data within low-cycle fatigue life regime. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:508 / 514
页数:7
相关论文
共 50 条
  • [21] Low-Cycle Fatigue Behavior and Life Prediction of Copper Busbar
    Pang, Jian Chao
    Nie, Liang Liang
    Zhu, Li Bei
    Zhang, Zhen Jun
    Yao, Ge
    Mao, Yun Xian
    Chen, Man
    Zhang, Zhe Feng
    ADVANCED ENGINEERING MATERIALS, 2016, 18 (12) : 2018 - 2027
  • [22] NOTCH EFFECT IN LOW-CYCLE FATIGUE .2. CONSIDERATIONS ON NOTCH EFFECT IN LOW-CYCLE FATIGUE WITH FINITE-ELEMENT METHOD
    UDOGUCHI, T
    NOZUE, Y
    BULLETIN OF THE JSME-JAPAN SOCIETY OF MECHANICAL ENGINEERS, 1975, 18 (126): : 1355 - 1364
  • [23] Prediction of 316 stainless steel low-cycle fatigue life based on machine learning
    Hongyan Duan
    Mengjie Cao
    Lin Liu
    Shunqiang Yue
    Hong He
    Yingjian Zhao
    Zengwang Zhang
    Yang liu
    Scientific Reports, 13
  • [24] Prediction of 316 stainless steel low-cycle fatigue life based on machine learning
    Duan, Hongyan
    Cao, Mengjie
    Liu, Lin
    Yue, Shunqiang
    He, Hong
    Zhao, Yingjian
    Zhang, Zengwang
    Liu, Yang
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [25] Prediction of spot weld fatigue life using finite element approach
    Bhuvaneswaran, S.
    Padmanaban, R.
    MATERIALS TODAY-PROCEEDINGS, 2021, 46 : 9875 - 9881
  • [26] The Prediction of Fatigue Crack Initiation Life in Spot Welds
    Hassanifard, S.
    Zehsaz, M.
    Tohgo, K.
    Ohguma, T.
    STRAIN, 2009, 45 (06) : 489 - 497
  • [27] Low-Cycle Fatigue Properties and Life Prediction of the Steels with Trace Silicon
    Zhang, Meng Xiao
    Pang, Jian Chao
    Zhu, Li Bei
    Zhang, Zhen Jun
    Nie, Liang Liang
    Mao, Yun Xian
    Chen, Man
    Zhang, Zhe Feng
    ADVANCED ENGINEERING MATERIALS, 2017, 19 (03)
  • [28] A review of multiaxial low-cycle fatigue criteria for life prediction of metals
    Pagliari, Lorenzo
    Concli, Franco
    INTERNATIONAL JOURNAL OF DAMAGE MECHANICS, 2025, 34 (03) : 377 - 414
  • [29] LOW-CYCLE FATIGUE OF METAL OF WELDS MADE BY MECHANISED METHODS
    TIMOFEEV, BT
    WELDING PRODUCTION, 1971, 18 (02): : 58 - &
  • [30] Experimental study of low-cycle fatigue of pipe elbows with local wall thinning and life estimation using finite element analysis
    Takahashi, Koji
    Tsunoi, Satoshi
    Hara, Takumi
    Ueno, Tomohiro
    Mikami, Akira
    Takada, Hajime
    Ando, Kotoji
    Shiratori, Masaki
    INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING, 2010, 87 (05) : 211 - 219