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STRAIN-LIFE CURVES OF STEELS AND METHODS FOR DETERMINING THE CURVE PARAMETERS. PART 2. METHODS BASED ON THE USE OF ARTIFICIAL NEURAL NETWORKS

机译:钢的应变寿命曲线和确定曲线参数的方法。第2部分。基于使用人工神经网络的方法

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摘要

The authors look into the possibility of using artificial neural networks for predicting the deformation characteristics of steels (the parameters of the Basquin-Manson-Coffin strain-life curve equation) based on static strength and plasticity characteristics, by constructing four independent neural networks with different configurations of input and output data. The prediction of parameters of the Basquin-Manson-Cojfin equation and the fatigue life calculations by means of artificial neural networks are demonstrated to provide a better accuracy in comparison to the available conventional methods.
机译:通过构建四个具有不同强度的独立神经网络,作者探讨了使用人工神经网络基于静态强度和塑性特征来预测钢的变形特性(Basquin-Manson-Coffin应变-寿命曲线方程的参数)的可能性。输入和输出数据的配置。与现有的传统方法相比,Basquin-Manson-Cojfin方程的参数预测和通过人工神经网络进行的疲劳寿命计算证明具有更高的准确性。

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