Cargando…
A Study on the Prediction of Compressive Strength of Self-Compacting Recycled Aggregate Concrete Utilizing Novel Computational Approaches
A considerable amount of discarded building materials are produced each year worldwide, resulting in ecosystem degradation. Self-compacting concrete (SCC) has 60–70% coarse and fine particles in its composition, so replacing this material with another waste material, such as recycled aggregate (RA),...
Autores principales: | de-Prado-Gil, Jesús, Palencia, Covadonga, Jagadesh, P., Martínez-García, Rebeca |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9370039/ https://www.ncbi.nlm.nih.gov/pubmed/35955167 http://dx.doi.org/10.3390/ma15155232 |
Ejemplares similares
-
A Comparison of Machine Learning Tools That Model the Splitting Tensile Strength of Self-Compacting Recycled Aggregate Concrete
por: de-Prado-Gil, Jesús, et al.
Publicado: (2022) -
Impact of Design Parameters on the Ratio of Compressive to Split Tensile Strength of Self-Compacting Concrete with Recycled Aggregate
por: Martínez-García, Rebeca, et al.
Publicado: (2021) -
Influence of Design Parameters on Fresh Properties of Self-Compacting Concrete with Recycled Aggregate—A Review
por: Martínez-García, Rebeca, et al.
Publicado: (2020) -
Soft computing techniques to predict the compressive strength of green self-compacting concrete incorporating recycled plastic aggregates and industrial waste ashes
por: Faraj, Rabar H., et al.
Publicado: (2022) -
Recycling Aggregates for Self-Compacting Concrete Production: A Feasible Option
por: Martínez-García, Rebeca, et al.
Publicado: (2020)