... homogenization treats each unit's effective properties as invariant, regardless of the surrounding microstructure. To bridge this gap at minimal cost, we introduce a multi-fidelity homogenization framework augmented by a convolutional neural network correction. Design/methodology/approach First, 2D unit...

.... Design/methodology/approach In this study, an upgraded convolutional neural network-based crack detection method has been proposed. The dataset consists of 3,886 images which include cracked and non-cracked images. Further, these data have been split into training and validation data. To inspect...