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Home > Publications > International Concrete Abstracts Portal
The International Concrete Abstracts Portal is an ACI led collaboration with leading technical organizations from within the international concrete industry and offers the most comprehensive collection of published concrete abstracts.
Showing 1-5 of 31958 Abstracts search results
Document:
ACI Spring 2025 Convention
Date:
January 5, 2026
Author(s):
Akbar
Abstract:
Advancements in AI and computational models have significantly enhanced the predictability of concrete performance by leveraging extensive datasets. Recently, machine learning models have been developed to predict concrete’s compressive strength based on its mixture proportions. However, these models treat supplementary cementitious materials (SCMs) as a categorical (as opposed to quantitative) parameter and do not account for the significant impact of the SCM reactivity on concrete’s strength development. In this study, we assembled a dataset of binary (cement-SCM) mixtures, incorporating SCM reactivity measured by the R3 (ASTM C1897) test. Utilizing a random forest machine learning model, we demonstrated that integrating SCM reactivity significantly enhances the model's predictive performance with the fewest input parameters (w/cm, SCM/cm, SCM R3 heat, Agg/cm, cement CaO%). Further, we implemented a multi-objective Bayesian optimization framework to assist in the mixture proportioning of low-carbon low-cost concrete utilizing cement(s) and SCM(s) available to a concrete producer. This framework proposes concrete mix designs to meet a target 28-day compressive strength while minimizing cost and CO2 emissions, by leveraging SCMs with varied reactivity levels. The proposed mix designs were further validated with experiments. The work demonstrates how to avoid model extrapolation and erroneous predictions by utilizing a multi-dimensional convex envelop algorithm. Overall, the outcomes of this work provide a valuable tool for the concrete industry which can be expanded to predict and incorporate other metrics of concrete performance (e.g., workability, durability) and develop optimized mix designs accordingly.
CI4801Monfort
January 1, 2026
Maxime Monfort, Julien Schaeffer, Jongbeom Kim, and Marc Jolin
Publication:
Concrete International
Volume:
48
Issue:
1
To facilitate the shotcreter’s task, partial or full automation of the placement process is of interest, which is why the Shotcrete Laboratory at the Université Laval, Québec, QC, Canada, acquired a six-axis robotic arm in 2019. The arm can repeat predefined spraying patterns with practically flawless accuracy. This robot, combined with a data acquisition system that measures rebound during a standardized spraying session, is the starting point of a large research project, “SPARO – Shotcrete Placement Automated by Robot."
DOI:
10.14359/51749389
CI4801InnovationForum
This article highlights a presentation from the 2025 Concrete Innovation Forum, “Using Pozzolanic Reactivity to Optimize Concrete Mixtures for Performance, Cost, and Sustainability,” developed by W. Jason Weiss, FACI, and Burkan Isgor, FACI. Delivered by Weiss, this presentation focused on combining science-based tests with rigorous computational models to help design concrete mixtures for the future.
10.14359/51749390
CI4801Convention Highlights
The concrete community came together in Baltimore, MD, USA, October 26-29, 2025, for a celebration of the 200th ACI Concrete Convention. More than 2200 professionals and students from more than 70 countries attended to share knowledge and drive innovation in the design, construction, maintenance, and repair of concrete projects. Attendees participated in educational sessions, networking events, committee meetings, and a student competition.
10.14359/51749391
CI4801Q&A
This month's Q&A discusses the new compliance requirements for field-cured specimens in ACI CODE-318-25 and other procedures approved by the licensed design professional to evaluate concrete strength.
10.14359/51749392
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