Reliability based multi-objective optimization of concrete mix parameters using NSGA II
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Title Reliability based multi-objective optimization of concrete mix parameters using NSGA II
Creator Mahesh Sharma, Rachna Agarwal, Rajendra Sharma, Maneek Kumar
Contributor Jim Shiau, Vanissorn Vimonsatit, Siamak Yazdani, Amarjit Singh
Publisher ISEC PRESS
Publication Year 2561
Keyword Compressive strength, Regression model, Probability of failure.
Abstract This article presents a method to optimize concrete mix proportions with respect to different goals of economy and reliability or, equivalently, probability of failure. This method is based on a quadratic generalized ridge regression model to predict compressive strength of concrete for 28 days curing period and a linear regression model to predict cost of concrete. NSGA II is used to obtain reliable Pareto-optimal fronts with non-dominated solutions for different compressive strength requirements. Pareto-optimal fronts evolved by varying compressive strength requirements and probability of failure are analyzed. It is found that there is a nominal rise in cost as probability of failure decreases up to a certain limit for a given compressive strength requirement. However, there is a sharp rise in cost of concrete below that limit.
ISBN 978-0-9960437-7-9
Language English
URL Website https://www.isec-society.org/
Website title ISEC Society
International Struct Eng and Constructn Society

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