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Probabilistic Neural Networks that Predict Compressive Strength of High Strength Concrete in Mass Placements using Thermal History

US Army Engineer Research and Development Center
Published June 2, 2022

Link: http://dx.doi.org/10.21079/11681/44483

This document was originally published as a journal article or conference proceeding. The link and document will be accessible after a 12-month embargo expires (January 15, 2022 for this document).

Report Number: ERDC/GSL MP-22-1

Title: Probabilistic Neural Networks that Predict Compressive Strength of High Strength Concrete in Mass Placements using Thermal History

By: Madeleine M. Roberson, Kathleen M. Inman, Ashley S. Carey, Isaac L. Howard, and Jay Shannon

Approved for public release; distribution is unlimited.

June 2022

18 pages / 1.67 MB


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Release no. 22-268