Prediction of sustainable concrete utilizing rice husk ash (RHA) as supplementary cementitious material (SCM): Optimization and hyper-tuning
Author:
Publisher
Elsevier BV
Subject
Metals and Alloys,Surfaces, Coatings and Films,Biomaterials,Ceramics and Composites
Reference96 articles.
1. Predictive modeling for sustainable high-performance concrete from industrial wastes: a comparison and optimization of models using ensemble learners;Farooq;J Clean Prod,2021
2. A scientometric review of waste material utilization in concrete for sustainable construction;Ahmad;Case Stud Constr Mater,2021
3. Comparative life cycle assessment of reactive MgO and Portland cement production;Ruan;J Clean Prod,2016
4. Geopolymer concrete as sustainable material: a state of the art review;Farooq;Construct Build Mater,2021
5. Role of binary cement including Supplementary Cementitious Material (SCM), in production of environmentally sustainable concrete: a critical review;Samad;Int. J. Sustain. Built Environ.,2017
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