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Properties Of Concrete
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Citations
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Journal ArticleDOI
Properties of Concrete at Elevated Temperatures
TL;DR: In this paper, the thermal, mechanical, deformation, and spalling properties of concrete are discussed, and various properties that influence fire resistance performance, together with the role of these properties on fire resistance, are discussed.
Journal ArticleDOI
Development of an eco-friendly Ultra-High Performance Concrete (UHPC) with efficient cement and mineral admixtures uses
TL;DR: In this paper, a modified Andreasen & Andersen particle packing model is used to achieve a densely compacted cementitious matrix, and the results show that the influence of FA, ground granulated blast-furnace slag (GGBS) and limestone powder (LP) on the early hydration kinetics of UHPC is very similar during the initial five days, while the hydration rate of the blends with GGBS is mostly accelerated afterwards.
Journal ArticleDOI
Carbonation of cement paste : Understanding, challenges, and opportunities
Branko Šavija,Mladena Luković +1 more
TL;DR: In this article, a review summarises the state of the art regarding the understanding and consequences of carbonation of cement paste and summarises recent efforts regarding active use of carbonations as a tool for manipulating certain properties of cement based materials.
Journal ArticleDOI
High-performance fiber-reinforced concrete: a review
TL;DR: In this article, the authors present a comprehensive review of the mechanism of crack formation and propagation, compressive strength, modulus of elasticity, stress-strain behavior, tensile strength (TS), flexural strength, drying shrinkage, creep, electrical resistance, and chloride migration resistance of high performance fiber reinforced concrete.
Journal ArticleDOI
Investigation of coal bottom ash and fly ash in concrete as replacement for sand and cement
TL;DR: In this paper, the authors investigated the use of coal ash in concrete to replace sand with bottom ash waste and cement with fly ash and concluded that those experimental concrete mixes can be used in several structures (foundations, subbases, pavements, etc.) which will minimize the cost, energy and environmental problems to a great extent.
References
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DissertationDOI
Hot water concrete tank to store solar generated energy
TL;DR: In this paper, a concrete mixture was used in a hot water concrete tank to store solar generated energy at temperatures up to 200 °C and pressures up to 15.5 bars.
Journal Article
Generalized GMDH-Type Neural Network for Prediction of Concrete Compressive Strength via Core Testing
TL;DR: This model has a great ability for prediction of the concrete compressive strength on the basis of core testing and sensitivity analysis reveals that the output variable is significantly changed by core strength and number of rebars in comparison with other input variables.
Evaluation of the use of a site-won gravel as a Hydraulically Bound material in a Base layer of a pavement
TL;DR: In this article, the authors present a table of contents, including ACKNOWLEDGMENTS, Table of Contents, TABLES, FIGURES, and EQUATIONS.
Journal ArticleDOI
Investigating the Possibility of Using Recycled Industrial Wastewater Instead of Potable Water in Concrete Mixture
TL;DR: In this article, the authors investigated the possibility of using alternative sources of water with the aim of reducing the demand for the limited supply of fresh water for concrete mix and found that the optimum percentage of car wash wastewater as fresh water replacement in concrete mixes is 20%.
Proceedings ArticleDOI
Concrete performance prediction using boosting smooth transition regression trees (BooST)
TL;DR: In this study, a predictive analysis was carried out to investigate the performance of concrete compressive strength at 28 days with a new machine learning model called boosting smooth transition regression trees (BooST), and it is observed from the experimental results that the BooST model provides a better prediction accuracy in comparison with the state-of-the-art techniques used for concreteCompressive strength prediction.