Convolutional neural networks for predicting creep and shrinkage of concrete

The problem of long-term deformation caused by creep and shrinkage (C&S) needs to be concerned in the design and service of concrete structures. Although various models have been developed to predict the C&S of concrete, more accurate and reliable prediction methods are still needed. The models of C&S based on convolutional neural networks (CNNs) are proposed in the study. The performance of the CNN models is verified by using 906 sets of creep...