Approximation of elasticity modulus of groundnut shell ash-based self-consolidating high-performance concrete using artificial neural network

Buari, T. A.; Adeleke, J. S.; Olutoge, Festus; Ayininuola, Gbenga Matthew; Dahunsi, B. I. O.

doi:10.1007/s42107-022-00544-7

Cited by 1 publication

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…First, an evaluation was made to determine whether the formulas included in the conventional standards were valid to accurately describe the relationship between the compressive strength and the modulus of elasticity in the concrete mixes made with LFS. For this purpose, Figure 2 graphically represents the experimental results of the compressive strength and modulus of elasticity for each age of study (28,90, and 180 days), as well as the formulas of Eurocode 2 [13] and ACI 318-19 [14]. The formula of ACI 318-19 remains the same in the three figures as it does not depend on the age of the concrete (Equation ( 2)).…”

Section: Validity Of the Formulas Of The Regulationsmentioning

confidence: 99%

“…Moreover, as the use of alternative raw materials influences the compressive strength and modulus of elasticity of concrete, it also modifies the relationship between these properties [26]. Thus, a field of research in concrete science has involved the investigation of models that accurately describe those relationships by means of statistical procedures [12,27] and, more recently, by means of programming and computational techniques [28,29]. There is therefore a need to model these relationships when nonconventional materials are used to manufacture concrete [30].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analyzing the Relationship between Compressive Strength and Modulus of Elasticity in Concrete with Ladle Furnace Slag

Revilla-Cuesta,

Serrano-López,

Espinosa

et al. 2023

Buildings

View full text Add to dashboard Cite

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.

show abstract

Section: Validity Of the Formulas Of The Regulationsmentioning

confidence: 99%