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首页> 外文期刊>MATEC Web of Conferences >Analysis of Cantilever Beam Deflection under Uniformly Distributed Load using Artificial Neural Networks
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Analysis of Cantilever Beam Deflection under Uniformly Distributed Load using Artificial Neural Networks

机译:基于人工神经网络的均布荷载下悬臂梁挠度分析。

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摘要

In this study the deflection of a cantilever beam was simulated under the action of uniformly distributed load. The large deflection of the cantilever beam causes the non-linear behavior of beam. The prupose of this study is to predict the deflection of a cantilever beam using Artificial Neural Networks (ANN). The simulation of the deflection was carried out in MATLAB by using 2-D Finite Element Method (FEM) to collect the training data for the ANN. The predicted data was then verified again through a non linear 2-D geometry problem solver, FEM. Loads in different magnitudes were applied and the non-linear behaviour of the beam was then recorded. It was observed that, there is a close agreement between the predicted data from ANN and the results simulated in the FEM.
机译:在这项研究中,悬臂梁的挠度是在均布载荷作用下模拟的。悬臂梁的大挠度导致梁的非线性行为。这项研究的目的是使用人工神经网络(ANN)来预测悬臂梁的挠度。挠度的仿真是在MATLAB中使用2-D有限元方法(FEM)进行的,以收集ANN的训练数据。然后,通过非线性二维几何问题求解器FEM再次验证了预测数据。施加不同大小的载荷,然后记录梁的非线性行为。观察到,来自ANN的预测数据与FEM中模拟的结果之间有着密切的一致性。

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