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http://dx.doi.org/10.12989/cac.2017.19.6.617

Fuzzy logic model for the prediction of concrete compressive strength by incorporating green foundry sand  

Rashid, Khuram (Department of Architectural Engineering & Design, University of Engineering & Technology)
Rashid, Tabasam (Department of Mathematics, University of Management & Technology)
Publication Information
Computers and Concrete / v.19, no.6, 2017 , pp. 617-623 More about this Journal
Abstract
This work is conducted with the aim of using waste material to reserve the natural resources. The objective is accomplished by conducting experimentation and verify by modeling based on fuzzy logic. In experimentation, concrete is casted by using natural/river sand as fine aggregate and termed as control specimen. Natural sand is conserved by replacing it with used foundry sand (UFS) by an amount of 10, 20 and 30% by weight. Fresh and hardened properties of concrete are investigated at different ages. It is observed that compressive strength and modulus of elasticity reduced with the increase in amount of UFS. Furthermore, concrete compressive strength is predicted by using fuzzy logic model and verified at different replacement ratio and age with experimental observations.
Keywords
conservation; natural river sand; used foundry sand; compressive strength; fuzzy logic model;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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