Dynamic Behavior of Articulated Pipes Conveying Fluid by the Artificial Neural Network

Present research work aims to the dynamic behavior of two rigid articulated pipes conveying fluid is considered. The velocity of fluid motion is harmonic. By training neural networks intend to determine the effects of initial velocity, ratio fluid mass per total fluid mass and pipes mass and flow frequency are studied. In this article, the back propagation method is applied to design the neural network algorithm and using matlab software, modeling and estimation of the time response for different modes have been done. Using the model designed by the neural network, it has been shown that the time response error is less than 0.004.