文章基本信息

标题：Estimation of critical force of the buckling composite structures using modelling methods
本地全文：下载
作者：Karol Szklarek ; Jakub Gajewski ; David Valis 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2019
卷号：252
DOI：10.1051/matecconf/201925203004
语种：English
出版社：EDP Sciences
摘要：The study reported in this paper employed Artificial Neural Networks (ANN) to predict the critical force of the buckling composite structures. The critical force depends upon various factors such as thickness, stacking sequence,etc. These factors have been identified in earlier studies by means of the Finite Elements Method (FEM). The critical force is affected by the above-mentioned factors. Various approaches have been applied in the course of the presented study. Apart from our FEM simulation, the ANN approach has been applied and the results were compared. The main contribution of these two approaches is the estimation of the critical force. The ANN model is trained to predict the critical force for different configurations of input variables.