Conductive paint-filled cement paste sensor for accelerated percolation

Conductive paint-filled cement paste sensor for accelerated percolation. Laflamme, S., Pinto, I., Saleem, H. S., Elkashef, M., Wang, K., & Cochran, E. In pages 943722, San Diego, California, United States, April, 2015.

Paper doi abstract bibtex

Cementitious-based strain sensors can be used as robust monitoring systems for civil engineering applications, such as road pavements and historic structures. To enable large-scale deployments, the ﬁllers used in creating a conductive material must be inexpensive and easy to mix homogeneously. Carbon black (CB) particles constitute a promising ﬁller due to their low cost and ease of dispersion. However, a relatively high quantity of these particles needs to be mixed with cement in order to reach the percolation threshold. Such level may inﬂuence the physical properties of the cementitious material itself, such as compressive and tensile strengths. In this paper, we investigate the possibility of utilizing a polymer to create conductive chains of CB more quickly than in a cementitious-only medium. This way, while the resulting material would have a higher conductivity, the percolation threshold would be reached with fewer CB particles. Building on the principle that the percolation threshold provides great sensing sensitivity, it would be possible to fabricate sensors using less conducting particles. We present results from a preliminary investigation comparing the utilization of a conductive paint fabricated from a poly-Styrene-co-Ethylene-co-Butylene-co-Styrene (SEBS) polymer matrix and CB, and CBonly as ﬁllers to create cementitious sensors. Preliminary results show that the percolation threshold can be attained with signiﬁcantly less CB using the SEBS+CB mix. Also, the study of the strain sensing properties indicates that the SEBS+CB sensor has a strain sensitivity comparable to the one of a CB-only cementitious sensor when comparing specimens fabricated at their respective percolation thresholds.

@inproceedings{shull_conductive_2015,
	address = {San Diego, California, United States},
	title = {Conductive paint-filled cement paste sensor for accelerated percolation},
	url = {http://proceedings.spiedigitallibrary.org/proceeding.aspx?doi=10.1117/12.2084408},
	doi = {10.1117/12.2084408},
	abstract = {Cementitious-based strain sensors can be used as robust monitoring systems for civil engineering applications, such as road pavements and historic structures. To enable large-scale deployments, the ﬁllers used in creating a conductive material must be inexpensive and easy to mix homogeneously. Carbon black (CB) particles constitute a promising ﬁller due to their low cost and ease of dispersion. However, a relatively high quantity of these particles needs to be mixed with cement in order to reach the percolation threshold. Such level may inﬂuence the physical properties of the cementitious material itself, such as compressive and tensile strengths. In this paper, we investigate the possibility of utilizing a polymer to create conductive chains of CB more quickly than in a cementitious-only medium. This way, while the resulting material would have a higher conductivity, the percolation threshold would be reached with fewer CB particles. Building on the principle that the percolation threshold provides great sensing sensitivity, it would be possible to fabricate sensors using less conducting particles. We present results from a preliminary investigation comparing the utilization of a conductive paint fabricated from a poly-Styrene-co-Ethylene-co-Butylene-co-Styrene (SEBS) polymer matrix and CB, and CBonly as ﬁllers to create cementitious sensors. Preliminary results show that the percolation threshold can be attained with signiﬁcantly less CB using the SEBS+CB mix. Also, the study of the strain sensing properties indicates that the SEBS+CB sensor has a strain sensitivity comparable to the one of a CB-only cementitious sensor when comparing specimens fabricated at their respective percolation thresholds.},
	language = {en},
	urldate = {2020-09-09},
	author = {Laflamme, Simon and Pinto, Irvin and Saleem, Hussam S. and Elkashef, Mohamed and Wang, Kejin and Cochran, Eric},
	editor = {Shull, Peter J.},
	month = apr,
	year = {2015},
	pages = {943722},
}

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