Open AccessDesign and Research on Modification Method of Finite Element Dynamic Model of Concrete Beam Based on Convolutional Neural Network
Author(s) -
Zhihao Su
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/781/2/022114
Subject(s) - finite element method , convolutional neural network , computer science , artificial neural network , modal , set (abstract data type) , algorithm , inverse problem , beam (structure) , inverse , modal analysis , mathematics , mathematical optimization , structural engineering , artificial intelligence , engineering , mathematical analysis , chemistry , polymer chemistry , programming language , geometry
Because of the uncertainty of the measurement results, the dynamic inverse problem equation is called the stochastic model correction equation. In order to make this equation or method can be used smoothly in actual engineering, it is aimed at low modal orders and small samples in actual engineering. Condition, this paper proposes a concrete beam finite element dynamic model correction method based on convolutional neural network technology. This method trains the convolutional neural network algorithm by expanding the data set, so that the accuracy of the finite element dynamic model correction method is obtained. Improve, and the method is feasible in actual engineering.