Enhancing concrete strength for sustainability using a machine learning approach to improve mechanical performance
Abstract The construction industry faces growing pressure to adopt sustainable practices due to the environmental burden of concrete waste and the overuse of natural resources. One promising solution is the use of recycled concrete aggregate (RCA) as a partial or full replacement for natural aggrega...
Saved in:
| Main Authors: | Amir Khan, Aneel Manan, Muhammad Umar, Mudassir Mehmood, Kennedy C. Onyelowe, Krishna Prakash Arunachalam |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-02648-x |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Physics-informed modeling of splitting tensile strength of recycled aggregate concrete using advanced machine learning
by: Kennedy C. Onyelowe, et al.
Published: (2025-02-01) -
Data-driven framework for prediction of mechanical properties of waste glass aggregates concrete
by: Kennedy C. Onyelowe, et al.
Published: (2025-07-01) -
Study on compressive strength of plastic waste bituminous concrete for road construction
by: Anurag V. Tiwari, et al.
Published: (2018-09-01) -
Evaluating the impact of industrial wastes on the compressive strength of concrete using closed-form machine learning algorithms
by: Carlos Roberto López Paredes, et al.
Published: (2024-10-01) -
Mechanical properties of self compacting concrete reinforced with hybrid fibers and industrial wastes under elevated heat treatment
by: Kennedy C. Onyelowe, et al.
Published: (2025-04-01)