Technical Papers
Mar 27, 2012

Prediction of Early Age Normal Concrete Compressive Strength Based on Dynamic Shear Modulus Measurements

Publication: Journal of Materials in Civil Engineering
Volume 25, Issue 1

Abstract

In this research, the relationship between the compressive strength, fc, and the dynamic shear modulus, Gd, of normal concrete at an early age was studied. To investigate the correlation between fc and Gd at an early age, different types of mixtures, including mortar and concrete, were prepared, and the corresponding fc and Gd values were measured every 12 h after initial mixing up to 72 h after casting. The influences of hydration age, water-to-cement (w/c) ratio, curing temperature, aggregate volume content, and maximum aggregate size on the Gdfc relationship of concrete were studied. The Gdfc relationship was then mathematically modeled by using multivariable power laws. The developed model is reasonably accurate to predict the early age compressive strength of concrete with variations in hydration age, aggregate content, and sizes. This type of model can be used directly in the field for the estimation of concrete strength when nondestructive testing (NDT) techniques are employed.

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Acknowledgments

The authors acknowledge financial support from the National Science Foundation (Grant No. CMMI-0654263) and the University of Louisville (IRIG program).

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Published In

Go to Journal of Materials in Civil Engineering
Journal of Materials in Civil Engineering
Volume 25Issue 1January 2013
Pages: 30 - 38

History

Received: Jun 26, 2011
Accepted: Mar 23, 2012
Published online: Mar 27, 2012
Published in print: Jan 1, 2013

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Authors

Affiliations

Giri Venkiteela [email protected]
Research Associate, Center for Advanced Infrastructure and Transportation (CAIT), Rutgers, The State Univ. of New Jersey, 623 Bowser Rd., Piscataway, NJ 08854 (corresponding author). E-mail: [email protected]
M.ASCE
Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Louisville, 112 W.S. Speed Hall, Louisville, KY 40292. E-mail: [email protected]
M.ASCE
Associate Professor, Dept. of Civil and Environmental Engineering, Rutgers, The State Univ. of New Jersey, 623 Bowser Rd., Piscataway, NJ 08854. E-mail: [email protected]

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