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Home > Publications > International Concrete Abstracts Portal
Showing 1-5 of 1393 Abstracts search results
Document:
SP365_06
Date:
March 1, 2025
Author(s):
Austin Martins-Robalino, Alessandro Paglia, and Dan Palermo
Publication:
Symposium Papers
Volume:
365
Abstract:
Experimental testing of a reinforced concrete shear wall subjected to combined axial load and reverse cyclic lateral displacements was conducted to investigate rocking and sliding observed in a companion wall tested without axial loading, and to assess the effect of axial load on residual drifts. The application of 10% axial load resulted in greater lateral load capacity and stiffness, as well as increased ductility. The presence of axial load contributed to satisfying lower residual drift limits at higher transient drifts. Further analysis was conducted to disaggregate the total lateral displacement into sliding, rocking, shear, and flexure mechanisms. Comparison to the companion wall demonstrated that the present wall had significantly greater contribution from flexural effects with the axial load delaying the influence of rocking until crushing of the concrete. A complementary numerical study of the wall with axial load was conducted, and a modelling methodology was presented to better capture the fracture phenomena of steel reinforcement. This methodology accounted for local fracture of reinforcement and a reduction of reinforcement area due to the presence of strain gauges. The simulation of failure and the predicted lateral displacement capacity were significantly improved compared to a model that did not consider these phenomena.
DOI:
10.14359/51746686
CI4611ConcreteQA
November 1, 2024
Concrete International
46
Issue:
11
It is estimated that almost 90% of the embodied carbon emissions in a concrete mixture come from the production of portland cement. This month’s Q&A discusses strategies that can be adopted for obtaining low-carbon concrete mixtures for paving.
SP-363-6
July 1, 2024
Kuo-Wei Wen, Manuel Bermudez, and Chung-Chan Hung
363
Ultra-high-performance concrete (UHPC) features tensile strain-hardening behavior and a high compressive strength. Existing studies on the shear behavior of UHPC structural members have been focused on prestressed UHPC girders. More experimental data of the shear behavior of non-prestressed UHPC beams are necessary to quantify the safety margin of shear designs for structures. Moreover, while the UHPC members in most studies did not contain coarse aggregate to strengthen their microstructure, the inclusion of coarse aggregate has been shown to substantially reduce the autogenous shrinkage and enhance the elastic modulus for UHPC materials, which is beneficial for structural applications of UHPC. This study experimentally investigated the shear failure behavior of eighteen non-prestressed rectangular UHPC beams. The experimental variables included the volume fraction of fibers, shear span-to-depth ratio of the beams, and coarse aggregate. The detailed shear failure responses of the UHPC beams were discussed in terms of the damage pattern, shear modulus, shear strength, shear strain, and strain energy. The test results showed that the inclusion of coarse aggregate increased the beam shear strength, and its enhancement became more significant with a higher volume fraction of fibers and a lower shear span-to-depth ratio of the beam. In addition to the experimental investigation, a shear strength model for non-prestressed rectangular UHPC beams that accounts for the interactive effect of the key design parameters was developed. An experimental database of the shear strength of the UHPC beams in existing studies was established to assess the performance of the proposed model. It was shown that the proposed model reasonably predicted the shear strength of the UHPC beams in the database with a higher accuracy and lower scatter compared to the results of existing models.
10.14359/51742109
SP-362_74
June 18, 2024
Camille Martin--Cavaillé, Alexandra Bourdot, Olivier Rateau, Malo L’helguen, Nassim Sebaibi, and Rachid Bennacer
362
A possible way to reduce CO2 emissions linked to cementitious materials is to use alternative resources, particularly co-products from other industries. Oyster shell co-products are a calcareous resource produced by aquaculture currently available in coastal areas and must be valorized. The present study investigates the impact of crushed oyster shells used as aggregates in concrete on its mechanical behavior. Thus, concrete samples with 50% aggregates replaced by crushed oyster shells were formulated. Two different types of cement were used: CEMI for reference and low-carbon cement CEMIII-C. Mechanical strength and Young’s modulus were assessed at 28 days, and cracking under compression was followed by acoustic emission technique. Results show that oyster shell aggregates slightly reduce concrete's mechanical resistance but significantly decrease its Young’s modulus. However, cracking behavior under compression remains similar during compression loading.
10.14359/51742024
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
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