Campus Units

Civil, Construction and Environmental Engineering, Institute for Transportation, National Concrete Pavement Technology Center

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

10-15-2017

Journal or Book Title

Construction and Building Materials

Volume

152

First Page

168

Last Page

181

DOI

10.1016/j.conbuildmat.2017.06.172

Abstract

This research was inspired by the need to optimize the mix design of electrically conductive concrete (ECON) for field implementation. Carbon fiber was used for producing ECON with different mixing proportions and constituents. Calcium nitrite-based corrosion inhibitor admixture and methylcellulose were used as conductivity-enhancing agent (CEA) and fiber-dispersive agent (FDA) respectively. Five easy-to-change mix design variables were evaluated for their effects on electrical conductivity and strength of ECON: carbon fiber dosage, fiber length, coarse-to-fine aggregate volume ratio (C/F), CEA dosage, and FDA dosage. The results approved the effectiveness of the applied CEA in improving electrical conductivity while positively influencing strength. Conductivity was significantly influenced by: fiber content, C/F, fiber length, and CEA dosage. The dosages of Fiber, CEA, and FDA exerted significant influence on compressive strength. C/F and FDA dosage were significant variables influencing flexural strength.

Research Focus Area

Structural Engineering, Transportation Engineering

Comments

This is a manuscript of an article published as Sassani, Alireza, Halil Ceylan, Sunghwan Kim, Kasthurirangan Gopalakrishnan, Ali Arabzadeh, and Peter C. Taylor. "Influence of mix design variables on engineering properties of carbon fiber-modified electrically conductive concrete." Construction and Building Materials 152 (2017): 168-181. doi: 10.1016/j.conbuildmat.2017.06.172. Copyright 2017 Elsevier Ltd. Posted with permission.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Copyright Owner

Elsevier Ltd.

Language

en

File Format

application/pdf

Available for download on Monday, October 15, 2018

Published Version

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