Compressive strength of waste-derived cementitious composites using machine learning

• Published in: Reviews on advanced materials science Vol. 63; no. 1; pp. id. 126 - 573
• Main Authors: Tian, Qiong, Lu, Yijun, Zhou, Ji, Song, Shutong, Yang, Liming, Cheng, Tao, Huang, Jiandong
• Format: Journal Article
• Language: English
• Published: De Gruyter 15.05.2024
• Subjects: gene expression programming; marble cement; multi-expression programming

Marble cement (MC) is a new binding material for concrete, and the strength assessment of the resulting materials is the subject of this investigation. MC was tested in combination with rice husk ash (RHA) and fly ash (FA) to uncover its full potential. Machine learning (ML) algorithms can help with...