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PUBLICATIONS

Autonomous cementitious materials formulation for critical infrastructure repair

Published

Author(s)

Howie Joress, Rachel Cook, Austin McDannald, Mark Kozdras, Jason hattrick-simpers, Aron Newman, Scott Jones

Abstract

Despite the long history of cement and concrete, there are still large gaps in fundamental knowledge of their properties development. The dire need for improved cementitious repair materials, requires a revolution in the way they are formulated and tested. Here we suggest an autonomous platform that could be leveraged to rapidly formulate and test novel cement patch materials.
Citation
Digital Discovery
Volume
3
Pub Type
Journals

Download Paper

https://doi.org/10.1039/d3dd00211j
Local Download

Keywords

autonomous, cement, infrastructure repair, machine learning, automation
Modeling and computational material science, Materials characterization, Concrete / cement and Building damage and repair

Citation

Joress, H. , Cook, R. , McDannald, A. , Kozdras, M. , Hattrick-Simpers, J. , Newman, A. and Jones, S. (2024), Autonomous cementitious materials formulation for critical infrastructure repair, Digital Discovery, [online], https://doi.org/10.1039/d3dd00211j, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=936334 (Accessed December 3, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created January 17, 2024, Updated April 16, 2024