Predicting the behaviour of self-compacting concrete incorporating agro-industrial waste using experimental investigations and comparative machine learning modelling
Author:
Publisher
Elsevier BV
Subject
Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering
Reference39 articles.
1. Mix design for self-compacting concrete;Okamura;Concr Library JSCE,1995
2. Effects of the mechanical milling method on transport properties of self-compacting concrete containing perlite powder as a supplementary cementitious material;Karein;Constr Build Mater,2018
3. Electrical resistivity and capillarity of self-compacting concrete with incorporation of fly ash and limestone filler;Silva;Adv Concr Constr,2013
4. An investigation of the effects of limestone powder and Viscosity Modifying Agent in durability related parameters of self-consolidating concrete (SCC);Shadkam;Constr Build Mater,2017
5. Effect of silica fume and polyepoxide-based polymer on electrical resistivity, mechanical properties, and ultrasonic response of SCLC;Mazloom;Adv Concr Constr,2017
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