@article{WEI2022, 
author = {Yuwen WEI and Qiang ZHONG and Deyu WANG},
title = {Ultimate strength prediction of I-core sandwich plate based on BP neural network},
year = {2022},
journal = {Chinese Journal of Ship Research},
volume = {17},
number = {2},
pages = {125-134},
keywords = {I-core sandwich panels, BP neural network, ultimate strength, nonlinear finite element method, prediction},
url = {https://www.sciopen.com/article/10.19693/j.issn.1673-3185.02335},
doi = {10.19693/j.issn.1673-3185.02335},
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.MethodsFirst, the ultimate strength of I-core sandwich panels under axial compression are investigated using the nonlinear finite element method. Second, a BP neural network is constructed to predict the ultimate strength of I-core sandwich panels with different plate slenderness ratios between longitudinal webs, plate slenderness ratios of webs and column slenderness ratio of one longitudinal web. Finally, a formula for predicting the ultimate strength of I-core sandwich panels using the artificial neural network weight and bias method is proposed.ResultsThe mean square error MSE and correlation coefficient R of ultimate strength prediction using the BP neural network method are 0.001 2 and 0.981 8 respectively. The proposed neural network model has good prediction accuracy, and the maximum error is less than 10%.ConclusionsThis study can provide references for the application of I-core sandwich panels in hull structures.}
}