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http://dx.doi.org/10.12989/cac.2020.25.1.083

Prediction of fly ash concrete compressive strengths using soft computing techniques  

Ramachandra, Rajeshwari (Department of Civil Engineering, PES University)
Mandal, Sukomal (Department of Civil Engineering, PES University)
Publication Information
Computers and Concrete / v.25, no.1, 2020 , pp. 83-94 More about this Journal
Abstract
The use of fly ash in modern-day concrete technology aiming sustainable constructions is on rapid rise. Fly ash, a spinoff from coal calcined thermal power plants with pozzolanic properties is used for cement replacement in concrete. Fly ash concrete is cost effective, which modifies and improves the fresh and hardened properties of concrete and additionally addresses the disposal and storage issues of fly ash. Soft computing techniques have gained attention in the civil engineering field which addresses the drawbacks of classical experimental and computational methods of determining the concrete compressive strength with varying percentages of fly ash. In this study, models based on soft computing techniques employed for the prediction of the compressive strengths of fly ash concrete are collected from literature. They are classified in a categorical way of concrete strengths such as control concrete, high strength concrete, high performance concrete, self-compacting concrete, and other concretes pertaining to the soft computing techniques usage. The performance of models in terms of statistical measures such as mean square error, root mean square error, coefficient of correlation, etc. has shown that soft computing techniques have potential applications for predicting the fly ash concrete compressive strengths.
Keywords
concrete; fly ash; compressive strength; soft computing techniques;
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