摘 要：【目的】针对过去对I型金属夹芯板的极限强度评估不完善的问题，提出一种采用 BP人工神经网络方法定量地确定各相关参数对I型金属夹芯板极限强度的影响。
Abstract：[Objectives] In view of the incomplete evaluation of the ultimate strength of I-core sandwich panels in the past, a BP artificial neural network method is proposed to quantitatively determine the influence of relevant parameters on the ultimate strength of I-core sandwich panels.
[Methods] Firstly, the ultimate strength of I-core sandwich panels under axial compression are investigated by nonlinear finite element method. Secondly, BP neural network is constructed to predict the ultimate strength of I-core sandwich panels with different plate slenderness ratio between longitudinal webs, plate slenderness ratio of webs, column slenderness ratio of one longitudinal web. Finally, a formula for predicting the ultimate strength of I-core sandwich panels by using artificial neural network weight and bias method is proposed.
[Results] The mean square error (MSE) and correlation coefficient (R) of ultimate strength prediction using BP neural network method are 0.0012 and 0.9825, respectively. The proposed neural network model has good prediction accuracy, and the maximum error is less than 10%.
[Conclusions] The conclusion can be taken as a reference for the application of I-core sandwich panels in hull structure.