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Arabian Journal for Science and Engineering
Published in: Arabian Journal for Science and Engineering 11/2021

09-06-2021 | Research Article-Civil Engineering

Optimization of Geometrical Features of a Vane Concrete Rheometer Using Genetic Algorithm

Authors: Ruhul Amin Mozumder, Sulaem Musaddiq Laskar, Aminul Islam Laskar

Published in: Arabian Journal for Science and Engineering | Issue 11/2021

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Abstract

Dimensions of impellers and cylindrical containers of available rotational concrete rheometers vary considerably. Consequently, the volume of fresh concrete to be tested varies from rheometer to rheometer. In some rheometer, volume is 7.0 L and in some case, it is as high as 500 L. Till date, no attempt has been made so far to arrive at optimum geometrical features of rotational concrete rheometers. Attempt has therefore been made in the present study to optimize the dimensions of impeller with vane geometry and cylindrical container so as to have minimum concrete volume and minimum torque. To serve the goal of optimization, genetic algorithm implemented in MATLAB environment is adopted. It is observed that optimum dimensions of impeller are 100 mm diameter × 100 mm height. For cylindrical container, optimum dimensions are found to be 250 mm diameter × 250 mm height. Calculated optimum concrete volume to be tested is found to be 12.3 L. With thus obtained optimized geometry of vane impeller and cylindrical container, experimental investigations were undertaken to validate the optimization results.
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Metadata
Title
Optimization of Geometrical Features of a Vane Concrete Rheometer Using Genetic Algorithm
Authors
Ruhul Amin Mozumder
Sulaem Musaddiq Laskar
Aminul Islam Laskar
Publication date
09-06-2021
Publisher
Springer Berlin Heidelberg
Published in
Arabian Journal for Science and Engineering / Issue 11/2021
Print ISSN: 2193-567X
Electronic ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-021-05781-7

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