Journal of Jilin University(Engineering and Technology Edition) ›› 2024, Vol. 54 ›› Issue (12): 3468-3477.doi: 10.13229/j.cnki.jdxbgxb.20230157

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Damage parameter identification of laser welded joint shear Gurson⁃Tvergaard⁃Needleman model

Bing CHEN(),Yang-kun ZHANG,Yang WANG,Sheng-zhe LIU,Jin-yang HAN   

  1. School of Mechanical Engineering,University of Science and Technology Beijing,Beijing 100083,China
  • Received:2023-02-21 Online:2024-12-01 Published:2025-01-24

Abstract:

Experimental and simulation results were combined with neural network and genetic algorithm methods to study the non-uniform mechanical properties of DP980 laser welded joints. The shear correction Gurson-Tvergaard-Needleman (GTN) model was obtained to optimize the damage parameters of the welded joints. The optimization results were substituted into the finite element model and compared with the experimental results to verify the accuracy of the fitting parameters, and analyze the cause of transverse crack propagation in cup-shaped specimens through changes in pore volume fraction. Accurate mechanical properties of welded joints were obtained through the above methods to analyze and predict fracture damage of welded joints under complex stress states.

Key words: material processing, laser welding, damage model, parameter identification, cupping test

CLC Number: 

  • TG407

Table 1

Chemical composition of DP980 high-strength steel"

材料组分质量分数/%材料组分质量分数/%
C0.095CR0.500
Si0.350Mo0.200
Mn2.300Ti0.040
P0.015Fe余量
S0.004

Fig.1

Comparison of stress-strain curves between longitudinal joint and base metal"

Fig.2

Schematic diagram of mixing rule"

Fig.3

Distribution curve of microhardness"

Fig.4

Comparison of fitting results in different regions of welded joints"

Fig.5

Grid division diagram of welding joint"

Fig.6

Comparison diagram of load displacement curve of simulation and test of optimal parameters of longitudinal joints"

Fig.7

Schematic diagram of discrimination"

Fig.8

Tensile testing and crack initiation in notched specimens"

Fig.9

Comparison of error between predicted value and real value"

Fig.10

Evolution diagram of genetic algorithm"

Table 2

Optimization results of genetic algorithm"

结束fNwεNwfcwfFwkwwfNhεNhfchfFhkwh
优化值0.085 20.119 20.146 20.170 12.982 10.125 330.121 20.125 30.190 22.887 2
最终取值0.0850.1190.1460.1702.9820.1250.1210.1250.1902.887

Fig.11

Comparison of load displacement curves of longitudinal joint shear model simulation and test"

Fig.12

Comparison of tensile and test cracks of longitudinal joint notch specimen"

Fig.13

Cupping test results and crack propagation direction"

Fig.14

Cupping test model"

Fig.15

Stress cloud of cupping test"

Fig.16

Variation law of hole volume fraction with stamping depth"

Fig.17

Comparison between cupping test and simulation curves"

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