Fracture performance assessment of Q690 steel and its butt welded joint based on GTN damage model

Table 1. Chemical composition of Q690 HSS
View table
View in Article
Table 1. Chemical composition of Q690 HSS
化学成分占比/%
C 0.18
Si ≤0.55
Mn 1.00~1.60
P ≤0.030
S ≤0.030

Table 2. The mechanical properties of Q690 HSS
View table
View in Article
Table 2. The mechanical properties of Q690 HSS
参数数值
抗拉强度/MPa 730~900
屈服强度/MPa ≥640
伸长率/% ≥14

Table 3. GTN model parameters of Q690 HSS base metal
View table
View in Article
Table 3. GTN model parameters of Q690 HSS base metal
参数参数值域步长最优参数
f₀ 0~0.004 0.000 2 0.000 8
f_C 0.01~0.03 0.002 0.018
f_F 0.58~0.63 0.005 0.605
K 950~1 050 5 970
n 0.055~0.08 0.001 0.059
T − − 25.7

Table 4. GTN model parameters of Q690 HSS welded joint

View table

View in Article

Table 4. GTN model parameters of Q690 HSS welded joint

GTN模型参数	五参数（f₀，f_C，f_F，K，n）				三参数（f₀，K，n）
GTN模型参数	第1组	第2组	第3组	第4组	三参数（f₀，K，n）
f₀	0.040 283 9	0.036 192 1	0.019 918 1	0.020 506 3	0.010 087
f_C	0.048 664 1	0.042 045	0.026 137 1	0.027 839	0.017 271
f_F	0.608 277	0.611 159	0.060 900 2	0.607 046	0.605 982
K	1 106.42	1 123.18	1 075.36	1 076.92	1 058.21
n	0.063 573 3	0.069 657 8	0.065 435 3	0.066 001 8	0.066 22
T	18.998 5	19.098 8	19.323 5	18.303 1	18.419 69

Table 5. Comparison of GTN parameter evaluation by the exhaustive method and particle swarm algorithm

View table

View in Article

Table 5. Comparison of GTN parameter evaluation by the exhaustive method and particle swarm algorithm

参数	Q690高强度钢焊接接头(穷举法)	Q690高强度钢焊接接头(粒子群算法)	Q690高强度钢母材(穷举法)	Q690高强度钢母材(粒子群算法)
f₀	0.01	0.010 087	0.000 3	0.000 705
f_C	0.017 271	0.017 271	0.02	0.017 271
f_F	0.605 982	0.605 982	0.6	0.605 982
K	1 040	1 058.21	950	993.532
n	0.06	0.066 22	0.05	0.068 051
T	29.99	18.42	83.64	14.82
数据点个数	125 000	20 000	400 000	20 000
计算时间/s	323.3	22.5	10 634.2	108.8
每万个数据点的计算时间/s	25.86	11.25	265.855	54.4

Tools

Get Citation

Copy Citation Text

Jiangchao WANG, Zichao ZHUO. Fracture performance assessment of Q690 steel and its butt welded joint based on GTN damage model[J]. Chinese Journal of Ship Research, 2022, 17(2): 142

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites