Deformation Prediction of Concrete Arch Dam Based on VMD and Optimized LightGBM
Deformation is an important index to reflect the safe operation state of concrete arch dams.Therefore,the study of deformation prediction model is of great significance to the structural health evaluation of arch dams.In order to fully excavate the effective information of arch dam deformation monitoring data and improve the prediction accuracy of monitoring model,a deformation prediction model of concrete arch dam based on variational mode decomposition and op-timization LightGBM is proposed.Firstly,the measured deformation data is decomposed into multiple modal components by using VMD.Secondly,the improved grey wolf algorithm combined with LightGBM is introduced to build the deform-ation prediction model of concrete arch dam.Then,the modal components are modeled and predicted respectively,and the final prediction result is obtained by superposition.The analysis of engineering examples shows that the deformation prediction model constructed by effective decomposition and reconstruction has high prediction accuracy and generalization performance.
deformation predictionvariational mode decompositionimproved grey wolf algorithmlight gradient boosting machine
NETL
NSTL
万方数据
