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Void Detection in a 3D Semi-Infinite Solid Using Elastic Waves and a Proximity Function to Address Class Imbalance in CNN-Powered Grid-Wise Classification
Publisher: American Society of Civil Engineers
Abstract: AbstractThis study presents a deep learning framework, based on wave responses and a three-dimensional
convolutional neural network (3D-CNN), for detecting subsurface cavities in a 3D homogeneous
semi-infinite domain. In ...
Identification 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 ...
Numerical Verification of the Schroeder–Webster Surface Types and Friction Compensation Models for a Metallic Specimen in Axisymmetric Compression Test
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: Three types of surfaces in the Schroeder–Webster (SW) theory, i.e., sliding, mixed, and sticking surfaces, have been verified via finite element analysis of an axisymmetric compression test for a metallic specimen. Judging ...
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