DEVELOPMENT OF A MACHINE LEARNING-BASED PREDICTION FORMULA FOR STRUCTURAL CONCRETE STRENGTH USING THE COMPRESSIVE STRENGTH OF CYLINDRICAL SPECIMENS
We analyzed the results of experiments on the strength development of structural concrete. We applied machine learning to construct a model that predicts core strength using the compressive strength of cylindrical specimens, such as standard cured specimens and simple adiabatic cured specimens. In addition, we analyzed the number of simple adiabatic curing specimens.
Authors
- Ryota Isobe
- Sachie SATO (ORCID: https://orcid.org/0000-0002-2299-2149)
Institutions
- Tokyo City University (JP)
- Sumitomo Osaka Cement (Japan) (JP)
Publication Details
- Journal
- Journal of Structural and Construction Engineering (Transactions of AIJ)
- Published
- 2025-05-01
- DOI
- https://doi.org/10.3130/aijs.90.539
- Primary Topic
- BIM and Construction Integration
- Type
- article
- Field-Weighted Citation Impact
- 0.00