Archived copy — This is page is part of a snapshot of https://news.mst.edu captured on December 31, 2025. Its contents may be out of date.
Archived copy — This is page is part of a snapshot of https://news.mst.edu captured on December 31, 2025. Its contents may be out of date.
Comments on: S&T awarded $1.4 million from Army Corps to develop AI-based program for 3D printing concrete https://news.mst.edu/2023/07/st-awarded-1-4-million-from-army-corps-to-develop-ai-based-program-for-3d-printing-concrete/ Your source for the latest from Rolla Sat, 05 Aug 2023 18:19:04 +0000 hourly 1 https://wordpress.org/?v=6.5.7 By: George Webber https://news.mst.edu/2023/07/st-awarded-1-4-million-from-army-corps-to-develop-ai-based-program-for-3d-printing-concrete/#comment-366877 Sat, 05 Aug 2023 18:19:04 +0000 https://news.mst.edu/?p=48663#comment-366877 Hi Greg,
This project is simply awesome, especially the research to discover new fibers for cement additives to strengthen concrete!!
Full speed ahead for this research!!
George Webber
UMR BS Mining Engineer 1971

]]> By: Ara Jeknavorian https://news.mst.edu/2023/07/st-awarded-1-4-million-from-army-corps-to-develop-ai-based-program-for-3d-printing-concrete/#comment-366586 Sun, 30 Jul 2023 11:27:34 +0000 https://news.mst.edu/?p=48663#comment-366586 The major challenge with applying AI to concrete mix design selection will be what material and performance variables are to be used for developing the necessary relationships that enable meaningful predictions. In particular, (a) admixture-cementitious material interactions will require detailed chemical property information about both the admixtures and cementitious materials, and (b) the use of by-products from various industries will have variable lot-to-lot compositions. At the very least, perhaps this effort will help define the limitations of AI as applied to “robust”concrete production having the desired performance.

]]>