Deterministic Modelling Techniques on Strain Influenced by Compressive Strength from All in One Aggregate Concrete
American Journal of Civil Engineering
Volume 5, Issue 2, March 2017, Pages: 104-110
Received: Aug. 23, 2016; Accepted: Oct. 31, 2016; Published: Mar. 4, 2017
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Authors
Ode. T., Department of Civil Engineering, Faculty of Engineering Rivers State University of Sciences and Technology Nkpolu, Port Harcourt, Nigeria
Eluozo S. N., Subaka Nigeria Limited, Port Harcourt, Nigeria
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Abstract
Experts has express strain from various materials on different type of aggregate grade, empirical and experimental analysis has been the concept of generating these parameters, empirical modeling are generated from experimental investigation, the study on these materials was to generate its rate of strength development from all – in- one grave aggregate. The developed strength are reflected on the strain, the values were generated from deterministic modeling techniques, the predictive values were subjected to comparisons using experimental values, both parameters express favorable fits validating the developed model predicting strain from all in one aggregate concrete. The study is imperative because experimental evaluation including empirical approach has been the only method of application or generation of strain thus stress-strain relationship, but deterministic techniques has been developed to predict the strain from all in one aggregate concrete, the strength development from these materials has also become another break through on concrete strength development.
Keywords
Deterministic Modeling, Strain, Compressive Strength, and Aggregate Concrete
To cite this article
Ode. T., Eluozo S. N., Deterministic Modelling Techniques on Strain Influenced by Compressive Strength from All in One Aggregate Concrete, American Journal of Civil Engineering. Vol. 5, No. 2, 2017, pp. 104-110. doi: 10.11648/j.ajce.20170502.15
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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