Development of Simple and Structured Model for Packing-Density Assessment of Gap-Graded Coarse Aggregates in Concrete
Publication: Journal of Materials in Civil Engineering
Volume 34, Issue 8
Abstract
Aggregate particle size distributions, shape characteristics, proportions and compaction level collectively influence packing density and, in turn, concrete properties. However, the available packing density prediction models either do not account for aggregate shape characteristics or if they do, the calculations are complicated and applicable only for well-graded aggregate systems. Hence, there is a need for the development of a simple and systematic model to predict aggregate packing density. The Aggregate Image Measurement System (AIMS) was used to obtain the shape parameters of aggregates. Aggregate shape indices were developed to correlate binary (gap-graded) aggregates. A new simple and structured RNP (Ramakanta Nabodyuti Prakash) model is presented in this paper for the estimation of packing density of binary coarse aggregate combinations with the use of shape parameters. The model was developed using a discrete element method (DEM) simulation in EDEM and validated using the experimental results. In the final section of the study, the compressive strength of engineered gap-graded concrete was also evaluated to test the applicability of the model.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
Acknowledgments
The authors gratefully acknowledge the support of Ph.D. Scholar Mr. Bharat Rajan and Prof. Dharamveer Singh for conducting AIMS experiments at the Department of Civil Engineering, Transportation Systems Engineering, IIT Bombay.
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Published In
Journal of Materials in Civil Engineering
Volume 34 • Issue 8 • August 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: May 8, 2021
Accepted: Dec 2, 2021
Published online: May 25, 2022
Published in print: Aug 1, 2022
Discussion open until: Oct 25, 2022
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