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RISIdentification of Fluid-Filled Inclusions of Arbitrary Quantities and Shapes in Solids from Measured Elastodynamic Responses Using CNN
Publisher: American Society of Civil Engineers
Abstract: AbstractThis study presents a data-informed convolutional neural network (CNN) for identifying
fluid-filled (e.g., water) inclusions in two-dimensional (2D) solids. To generate
training data, we simulate the propagation ...