Machine Learning and Pozzolans for Concrete for Highway Pavements and Structures

FHWA-HRT-22-016

Machine Learning and Pozzolans for Concrete for Highway Pavements and Structures

5. Report Date

January 2022

Volpe National Transportation Systems Center

8. Performing Organization Report No.

9. Performing Organization Name and Address

Volpe National Transportation Systems Center
55 Broadway, Kendall Square
Cambridge, MA 02142

10. Work Unit No. (TRAIS)

Federal Highway Administration
6300 Georgetown Pike
McLean, VA 22101

Workshop Summary Report
December 14 and 15, 2020

The Contracting Officer's representative is Kelley McKinley (HRTM-20). The Technical Contacts are Robert Spragg and Jack Youtcheff (HRDI-10).

On December 14 and December 15, 2020, the Federal Highway Administration's (FHWA) Office of Infrastructure Research and Development held a virtual workshop called "Machine Learning and Pozzolans for Concrete Infrastructure Materials" with 80 participants in attendance. The workshop, consisting of eight presentations, largely focused on three ongoing Exploratory Advanced Research Program projects and one National Cooperative Highway Research Program project related to the pressing issue of finding new sources of supplementary cementitious material (SCM) for use in concrete for our Nation's roadway infrastructure.

For decades, fly ash, a by-product of coal plants' power-generating process, has been an important source of SCM for highway infrastructure concrete, enhancing the performance, economic feasibility, durability and sustainability of cement mixtures containing ordinary portland cement. As a result of environmental regulations and a general transition of power utilities' fuel source from coal to natural gas in recent years, high-quality fly ash has become increasingly scarce. In response, FHWA organized a workshop to illustrate ongoing research related to the pursuit of fly ash alternatives to ensure the sustainability of our Nation's roadway infrastructure.

SCM, fly ash, NNP, machine learning, cement, concrete, reclaimed fly ash, artificial intelligence

No restrictions. This document is available to the public through the National Technical Information Service, Springfield, VA 22161.
http://www.ntis.gov

19. Security Classification
(of this report)

Unclassified

20. Security Classification
(of this page)

Unclassified

21. No. of Pages

12