RT info:eu-repo/semantics/article
T1 Analyzing the Relationship between Compressive Strength and Modulus of Elasticity in Concrete with Ladle Furnace Slag
A1 Revilla Cuesta, Víctor
A1 Serrano López, Roberto
A1 Espinosa González, Ana Belén
A1 Ortega López, Vanesa
A1 Skaf Revenga, Marta
K1 Ladle furnace slag
K1 Concrete
K1 Compressive strength
K1 Modulus of elasticity
K1 Correlations
K1 Analysis of variance
K1 Regression
K1 Time-dependent models
K1 Estimations
K1 Materiales de construcción
K1 Building materials
K1 Ingeniería civil
K1 Civil engineering
K1 Resistencia de materiales
K1 Strength of materials
AB The addition of Ladle Furnace Slag (LFS) to concrete modifies its compressive strength and modulus of elasticity and consequently impacts their relationship. This research evaluated both properties at 28, 90, and 180 days in concrete mixes produced with 5%, 10%, and 20% of two LFS types, both stabilized and non-stabilized. The relationship between them was then analyzed through these experimental results by adopting a statistical approach. A three-way analysis of variance revealed that both properties were affected by LFS differently. Thus, the effect of each LFS content on both features varied depending on its composition and pre-treatment. Furthermore, the effect of the LFS content on the compressive strength was also influenced by the age of the concrete. These facets implied that when analyzing the relationship between both mechanical properties, the monotonic correlations were stronger than the linear ones, reaching values between 0.90 and 1.00. Therefore, the double reciprocal regression models were the most precise ones for expressing the modulus of elasticity as a function of compressive strength. The model accuracy was further enhanced when discriminating based on the LFS type and introducing concrete age as a predictive variable. With all these considerations, the average deviations between the estimated and experimental values of 1–3% and the maximum deviations of 4–7% were reached, as well as R2 coefficients of up to 97%. These aspects are central to the further development of LFS concrete models.
PB MDPI
SN 2075-5309
YR 2023
FD 2023-12
LK http://hdl.handle.net/10259/8303
UL http://hdl.handle.net/10259/8303
LA eng
NO This research was funded by the Spanish Ministry of Universities, MICIN, AEI, EU, ERDF, and NextGenerationEU/PRTR, grant numbers PID2020-113837RB-I00, 10.13039/501100011033, and TED2021-129715B-I00; the Junta de Castilla y León (Regional Government) and ERDF, grant number UIC-231, and BU033P23; and the University of Burgos, grant numbers SUCONS, Y135.GI.
DS Repositorio Institucional de la Universidad de Burgos
RD 09-may-2024