Kuan Zhao, Bangwen Wang, He Xue, Zheng Wang
School of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an, 710054, China
The welding residual stress is one of the main factors that lead to Stress Corrosion Cracking (SCC) in dissimilar metal welded (DMW) joints of the safe-end in nuclear power plants. Based on ABAQUS software, a thermal-elastic plastic finite element method is developed to simulate residual stress for DMW joints of the safe-end. Considering the randomness of material parameters of the welding metal, the neural network response surface method is applied to calculate the change of welding residual stress distribution. Meanwhile, to improve the efficiency of numerical analysis, MATLAB is employed in the secondary development for ABAQUS. With the help of existing experimental data, the effect of random parameters of the welding metal on the residual stress in DMW joints is simulated and analyzed in this study. The results show that the residual stress distribution of the DMW joints is significantly affected by the random parameters. Among the parameters, the randomness of Yield strength and Module of Elasticity has the most significant influence on the uncertainty of the distribution of welding residual stress.
Dissimilar metal welded joint; Residual stress; Randomness; Response surface method
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