Ductile damage model calibration for high-strength structural steels

被引:60
作者
Yang, Fei [1 ,2 ]
Veljkovic, Milan [2 ]
Liu, Yuqing [1 ]
机构
[1] Tongji Univ, Dept Bridge Engn, Shanghai, Peoples R China
[2] Delft Univ Technol, Dept Engn Struct, Delft, Netherlands
关键词
High-strength steel; Ductile damage model; Tensile coupon test; Post-necking stress-strain; Strain localization; Rice-Tracey model; STRESS-STRAIN CURVES; MICROMECHANICAL DAMAGE; FRACTURE; RESISTANCE; GROWTH; NUCLEATION; PREDICTION; BEHAVIOR; RUPTURE; DESIGN;
D O I
10.1016/j.conbuildmat.2020.120632
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Numerical analyses incorporating appropriate damage models provide an opportunity to predict the strength and deformation capacity of steel structures. This paper presents a practical calibration for the ductile damage model of 5355 and high-strength steel S690Q S700MC, S960Q based on tensile coupon test results. A combined linear and power expression is adopted to calibrate the post-necking damaged stress-strain relations of the investigated steels, upon which the undamaged stress-strain relations are estimated further. Damage initiation criterion is based on the Rice-Tracey model and damage evolution law is related to the calibrated damaged stress and the estimated undamaged stress. Fracture of the tensile coupons is modelled using a critical damage variable. Tensile coupon tests on the investigated steels are modelled in ABAQUS with the explicit solver. Results show that combining the proposed post-necking stress-strain relations and ductile damage model generates very good predictions for strain localization and final fracture of the tensile coupons. Numerical engineering stress-strain curves agree well with the experimental results. It also indicates that high-strength steels are more susceptible to damage than 5355. The damage variable of S960Q is about 2 times as large as that of 5355 from the onset of necking to the final fracture. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:15
相关论文
共 50 条
[21]   Laser shock peening on high-strength steels [J].
Wang, Hao ;
Keller, Soeren ;
Bai, Yongtao ;
Kashaev, Nikolai ;
Gurevich, Evgeny L. ;
Ostendorf, Andreas .
ADVANCED LASER PROCESSING AND MANUFACTURING IV, 2020, 11546
[22]   Function of hydrogen in embrittlement of high-strength steels [J].
Nagumo, M .
ISIJ INTERNATIONAL, 2001, 41 (06) :590-598
[23]   Reduction model of hot- and cold-rolled high-strength steels during and after fire [J].
Wang, Hui ;
Nie, Shidong ;
Li, Jingyao .
FIRE SAFETY JOURNAL, 2022, 129
[24]   The effect of low temperatures on the fatigue of high-strength structural grade steels [J].
Walters, Carey Leroy .
20TH EUROPEAN CONFERENCE ON FRACTURE, 2014, 3 :209-214
[25]   An improved ductile fracture model for structural steels considering effect of high stress triaxiality [J].
Kang, Lan ;
Ge, Hanbin ;
Fang, Xing .
CONSTRUCTION AND BUILDING MATERIALS, 2016, 115 :634-650
[26]   Effect of weld defects on the fatigue strength of ultra high-strength steels [J].
Ottersboeck, M. J. ;
Leitner, M. ;
Stoschka, M. ;
Maurer, W. .
XVIII INTERNATIONAL COLLOQUIUM ON MECHANICAL FATIGUE OF METALS (ICMFM XVIII), 2016, 160 :214-222
[27]   Electrodes for welding high-strength steels [J].
Zuyev, F. Yu. ;
Darakhvelidze, Yu. D. ;
Svanidze, Yu. V. ;
Bazhenov, V.V. .
Welding International, 2015, 29 (11) :905-907
[28]   Coaxing effect in stainless steels and high-strength steels [J].
Makajima, Masaki ;
Jung, Jae Woong ;
Uematsu, Yoshihiko ;
Tokaji, Keiro .
MECHANICAL BEHAVIOR OF MATERIALS X, PTS 1AND 2, 2007, 345-346 :235-+
[29]   Integrating data mining and machine learning to discover high-strength ductile titanium alloys [J].
Zou, Chengxiong ;
Li, Jinshan ;
Wang, William Yi ;
Zhang, Ying ;
Lin, Deye ;
Yuan, Ruihao ;
Wang, Xiaodan ;
Tang, Bin ;
Wang, Jun ;
Gao, Xingyu ;
Kou, Hongchao ;
Hui, Xidong ;
Zeng, Xiaoqin ;
Qian, Ma ;
Song, Haifeng ;
Liu, Zi-Kui ;
Xu, Dongsheng .
ACTA MATERIALIA, 2021, 202 :211-221
[30]   Understanding the Fatigue Notch Sensitivity of High-Strength Steels through Fracture Toughness [J].
Parareda, Sergi ;
Frometa, David ;
Casellas, Daniel ;
Sieurin, Henrik ;
Mateo, Antonio .
METALS, 2023, 13 (06)