Predictive modeling of compressive strength of sustainable rice husk ash concrete: Ensemble learner optimization and comparison

• Main Authors: Iftikhar, Bawar, Alih, Sophia C., Vafaei, Mohammadreza, Elkotb, Mohamed Abdelghany, Shutaywi, Meshal, Javed, Muhammad Faisal, Deebani, Wejdan, Khan, M. Ijaz, Aslam, Fahid
• Format: Article
• Language: English
• Published: Elsevier Ltd. 2022
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/102959/1/BawarIftikhar2022_PredictiveModelingofCompressiveStrength_compressed.pdf; http://eprints.utm.my/102959/; http://dx.doi.org/10.1016/j.jclepro.2022.131285

One of the largest sources of greenhouse gas (GHG) emissions is the construction concrete industry which has alone 50% of the world's emissions. One possible remedy to mitigate the effect of environmental issues is the use of waste and recycled material in concrete. Today, immense agricultural...