Quantitative Description of Chloride Ingress in Concrete Using Machine Learning Algorithms: Dataset and Program
Published: 30 January 2025| Version 1 | DOI: 10.17632/jnp4jn3s9z.1
Contributors:
, , , Description
The primary objective of the developed executable application is to provide the distribution of chloride content as a function of space and time. The dataset has been gathered from a variety of experimental tests in the literature.
Files
Steps to reproduce
In case you are interested in the dataset and program, you are more than welcome to refer to the paper titled "Quantitative Description of Chloride Ingress in Concrete Using Machine Learning Algorithms", published in Construction and Building Materials, 2025 - if necessary.
Institutions
Virginia Polytechnic Institute and State University, University of Texas at Austin
Categories
Software, Database
Funding
Virginia Department of Transportation
114590