Research data supporting Probabilistic selection and design of concrete using machine learning
收藏DataCite Commons2024-12-17 更新2024-08-25 收录
下载链接：
https://www.repository.cam.ac.uk/handle/1810/348564
下载链接
链接失效反馈官方服务：
资源简介：
The first tab contains machine learning training data originating from the Tailored Reinforced Concrete Infrastructure research project [EP/N017668/1] contaning details of concrete mix designs as well as resulting concrete properties. Concrete properties include compressive strength, saturated-surface-dry density, carbonation coefficient and estimated economic cost. Units of all values are given. The second tab contains predictions of these properties for blind mixes, obtained using the machine learning methodology outlined in the accompanying paper.
提供机构：
Apollo - University of Cambridge Repository
创建时间：
2023-01-03
