Abstract

Deep learning (DL) is currently being researched and implemented to solve civil engineering related problems, including autonomous inspection and inventory of civil infrastructure projects. The article introduces DL, specifically a convolutional neural network and the supervised learning process used to train a model that will enable professional structural engineers to automatically detect types of earthquake damage.

Disciplines

Architectural Engineering

Number of Pages

7

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URL: https://digitalcommons.calpoly.edu/aen_fac/125