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Example machine learning applications for the determination of the residual yield force of corroded steel bars tested under monotonic tensile loading. Data is collected from 26 experimental programs avaialbe in the literature.
This repository enables an engineer to generate predictions for the mechanical bending performance of corroded beams, using a database of 725 corroded beams tested under monotonic bending. Outputs include the maximum bending moment, residual capacity percentage, yield load, yield displacement, and ultimate displacement.
Size of Oxidation Feature from Image Analysis. Developed by Pádraigín Stack for Oak Ridge National Lab. Allows the user to load a micrograph and measure the thickness of oxidation or other features on an image. Originally built for SiO2 formers, but should work with any image that has high enough contrast.
Example machine learning implementation to predict the residual bending moment capacity of corroded reinforced concrete beams tested under monotonic three or four-point bending. Data is collected from 54 experimental programs available in the literature.