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Home > Publications > International Concrete Abstracts Portal
Showing 1-5 of 53 Abstracts search results
Document:
SP-362_66
Date:
June 18, 2024
Author(s):
M.T. de Grazia, L.F.M. Sanchez, and A. Leemann
Publication:
Symposium Papers
Volume:
362
Abstract:
Using particle packing models (PPMs) in combination with limestone fillers has been shown to be effective in proportioning eco-efficient concrete mixtures with reduced Portland cement content, resulting in suitable performance in fresh and short-term hardened states. However, the decrease in Portland cement and increase in limestone fillers may lower the pH of concrete, raising concerns about durability and long-term performance, potentially leading to increased corrosion of steel reinforcement in the presence of carbonation or chlorides. In this study, the performance of three eco-efficient concrete mixtures with varying cement (250, 200, and 150 kg/m3) and inert filler contents is evaluated against accelerated chloride exposure. The findings highlight the influence of the mixture proportioning and water-to-cement ratio on the resistance to chloride ingress. Ultimately, it is verified that the distance between cement particles is a major contribution towards chloride ingress.
DOI:
10.14359/51742016
SP-362_67
M.T. de Grazia and L.F.M. Sanchez
In recent years, there has been a growing need to develop eco-efficient concrete with reduced cement content for sustainable construction practices. This paper aims to highlight the importance of the concrete net zero goal by 2050 and explore how concrete particle-packing models and limestone fillers can contribute to achieving sustainable targets. Four eco-efficient concrete mixtures with varying cement content (320, 250, 200, and 150 kg/m3) were developed. A comprehensive analysis of the hardened state properties, including surface electrical resistivity, compressive strength, and modulus of elasticity, was conducted over time for each mixture. Furthermore, this paper briefly discusses methods to analyze concrete eco-efficiency and their impact on global warming. The results presented in this study contribute to the understanding of the importance of concrete eco-efficiency and provide insights for engineers and researchers on how to evaluate concrete eco-efficiency.
10.14359/51742017
SP-362_75
Alexandre Ouzia and Mohsen Ben Haha
This article reviews the challenges in the rational use of limestone and supplementary cementitious materials in the optimization of low carbon cement and concrete with machine learning (ML), and introduces preliminary results of the corresponding program of research at HeidelbergMaterials. The mining of the Global R&D database showed that the main challenge was not the algorithm type—the general linear model performed as well as artificial networks—but the underlying dataset quality, the rational design of the experiment in the face of the high dimensionality of the problem, and the model testing methodology. Preliminary results of show that a clinker ratio as low as 50% can be obtained at equal or better strength and workability performance. The surface area of limestone and aggregates was found to be as important as their weight proportion on rheology and early age properties. Regarding the predictors of early age strength, the best subset selection method identified no less than seven variables in addition to C3S and Blaine fineness. The prediction model thus identified a CEM I composition that could reach 50 MPa in one day, thus paving the way to higher SCM replacement levels.
This article reviews the challenges in the rational use of limestone and supplementary cementitious materials in the optimization of low carbon cement and concrete with machine learning (ML), and introduces preliminary results of the corresponding program of research at HeidelbergMaterials.
The mining of the Global R&D database showed that the main challenge was not the algorithm type—the general linear model performed as well as artificial networks—but the underlying dataset quality, the rational design of the experiment in the face of the high dimensionality of the problem, and the model testing methodology.
Preliminary results of show that a clinker ratio as low as 50% can be obtained at equal or better strength and workability performance. The surface area of limestone and aggregates was found to be as important as their weight proportion on rheology and early age properties. Regarding the predictors of early age strength, the best subset selection method identified no less than seven variables in addition to C3S and Blaine fineness. The prediction model thus identified a CEM I composition that could reach 50 MPa in one day, thus paving the way to higher SCM replacement levels.
10.14359/51742025
CI4411PursuingSuccess
November 1, 2022
Concrete International
44
Issue:
11
ACI Foundation Fellowship recipient Ziad Elaghoury talks about his passion for concrete
SP-355_11
July 1, 2022
Ilenia Farina, Cinzia Salzano, Marco de Pertis, Alberto Ferraro, Francesco Colangelo, Raffaele Cioffi
355
The recovery/recycling of solid industrial waste is a major environmental, economic and productive reality in the context of waste management activities. One of the main aspects related to the application of recovery technologies is the removal of waste from landfills and it is sufficient to observe the consequent proportional decrease in quantities of industrial waste in landfills in order to confirm the progressive development of recovery technologies related to the world of waste. Disposal and recovery/recycling aim at minimizing environmental impacts and promoting the efficient use of resources. In the current landscape of waste recycling, there are consolidated activities in constant search of technological improvements aimed at optimizing recovery efficiency. In this context, the final goal of this study is the production of lightweight artificial aggregates through the recycling of industrial solid waste, such as fly ash, blast furnace slag, and marble sludge. The results show that the aggregates produced can be classified as lightweight aggregates and are suitable for road paving.
10.14359/51736017
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