基于响应面-遗传算法的核电安全端焊接工艺参数优化及疲劳寿命预测

    Welding Process Parameters Optimization and Fatigue Life Prediction of Safety End of Nuclear Power Plant Based on Response Surface-Genetic Algorithm

    • 摘要: 接管安全端广泛存在于核电站一回路系统中,其安全性和可靠性对核电站的运行至关重要。为降低反应堆压力容器接管安全端的焊后残余应力,以焊接电流、焊接速度、层间冷却时间为因素,结合响应面和遗传算法优化接管安全端焊接工艺,并基于服役过程模拟开展其疲劳寿命评估。结果表明:接管安全端最佳焊接工艺参数为焊接电流610 A,焊接速度23 mm·s-1,层间冷却时间427 s;优化后焊接残余应力峰值为373 MPa,相比优化前应力下降44 MPa;安全端构件最薄弱的位置位于安全端内壁上首道焊缝焊至90°时的中心点处,疲劳寿命值为4.06×103个循环。

       

      Abstract: The safety end widely exists in the primary circuit system of nuclear power plants, and its safety and reliability are crucial to the operation of nuclear power plants. In order to reduce the welding residual stress of the safety end of the reactor pressure vessel, the welding process parameters of the safety end were optimized by combining the response surface and the genetic algorithm with the factors of welding current, welding speed and interlayer cooling time. The fatigue life assessment of the safety end was also carried out based on the simulation of the in-service process. The results show that: the optimal welding process parameters for the safety end of the reactor pressure vessel are welding current 610 A, welding speed 23 mm·s-1, interlayer cooling time 427 s; the peak welding residual stress after optimization is 373 MPa, which is 44 MPa less than that before optimization. The weakest position of the safety end is located at the center point where the first weld on the inner wall of the safe-end is welded to 90°, and the fatigue life is 4.06×103 cycles.

       

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