Machine learning and RSM models for prediction of compressive strength of smart bio-concrete

• Main Authors: Algaifi, Hassan Amer, Abu Bakar, Suhaimi, Alyousef, Rayed, Mohd. Sam, Abdul Rahman, Alqarni, Ali S., Wan Ibrahim, M. H., Shahidan, Shahiron, Mohammed Ibrahim, Mohammed Ibrahim, Salami, Babatunde Abiodun
• Format: Article
• Published: Techno-Press 2021
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/96740/; http://dx.doi.org/10.12989/sss.2021.28.4.535

In recent years, bacteria-based self-healing concrete has been widely exploited to improve the compressive strength of concrete using different bacterial species. However, both the identification of the optimal involved reaction parameters and theoretical framework information are still limited. In...