Transfer learning for isolated cylinder vibration induced by vortex shedding

Abstract

Abstract Transfer learning study on vortex-induced vibration of circular and bending cylinders in laminar flows. Vortex-induced vibrations of circular and bending cylinders have been detected by varying flowrate in rectangle cylinder. The vibration date in different position of the cylinders are acquired by LMS and image information obtained. The dynamic characteristics of vortex shedding are analyzed by the cylinder vibration and flow rate signal. The experimental data of the circular cylinder vibration is used as auxiliary data set and a few data of the bending cylinder vibration as target data set. Both of auxiliary and target data sets compose the training set which is trained by TrAdaboost based on weight iteration adjustment. The result compared with another experimental data of bending cylinder shows that the transfer learning algorithm has a reasonable accuracy.