Compressive strength prediction of rice husk ash using multiphysics genetic expression programming

• Main Authors: Aslam, F., Elkotb, M.A., Iqtidar, A., Khan, M.A., Javed, M.F., Usanova, K.I., Khan, M.I., Alamri, S., Musarat, M.A.
• Format: Article
• Published: Ain Shams University 2022
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118766459&doi=10.1016%2fj.asej.2021.09.020&partnerID=40&md5=87657372a1959d8b9e651dc0d9b883e5; http://eprints.utp.edu.my/28587/

Rice husk ash (RHA) is obtained by burning rice husks. An advanced programming technique known as genetic expression programming (GEP) is used in this research for developing an empirical multiphysics model for predicting the compressive strength of RHA incorporated concrete. A vast database compris...