WANG Zhao1, MA Xiuhua1, LIU Juanli2, et al. Immune optimization algorithm for fatigue crack growth rate of 40CrNiMoA steel on tubine rotor[J]. Thermal power generation, 2013, 42(1): 45-47.
WANG Zhao1, MA Xiuhua1, LIU Juanli2, et al. Immune optimization algorithm for fatigue crack growth rate of 40CrNiMoA steel on tubine rotor[J]. Thermal power generation, 2013, 42(1): 45-47.DOI:
40CrNiMoA钢疲劳裂纹扩展速率免疫优化计算
摘要
基于Paris、Forman及Zheng-Hirt公式
建立了全程疲劳裂纹扩展速率的数学模型
利用免疫算法原理优化出影响汽轮机转子常用钢种40CrNiMoA的疲劳裂纹扩展速率和参数
优化结果符合试验规律
表明采用免疫算法处理多参数非线性疲劳裂纹扩展速率模型效果良好。
Abstract
Taking the common 40CrNiMoA steel for turbine rotor as an example
mathematic model describing the fatigue crack growth rate during the whole process was established
based on the Paris
Forman and Zheng-Hirt formulae.Immune algorithm was adopted to conduct optimization calculation on this model.The final optimized results were consistent with the experimental rules
indicating that the immune algorithm has good performance on dealing with the nonlinear fatigue crack growth rate model with multiple parameters.When the steel is at room temperature and with a constant stress ratio
this model can easily realize stable material life prediction and is more suitable for the real crack growth rate forecast.