Resumen

SANTAMARIA, Jorge L.  y  ROMERO, Karen. Development of a model to estimate the modulus of elasticity of concrete using fuzzy logic. Novasinergia [online]. 2024, vol.7, n.2, pp.138-150.  Epub 02-Jul-2024. ISSN 2631-2654.  https://doi.org/10.37135/ns.01.14.08.

Concrete is the most frequently used construction material in Ecuador. Two characteristics considered for its design are compressive strength and modulus of elasticity. The latter is conventionally calculated in relation to the former using equations established in design codes. However, research has shown that these equations do not accurately reflect the reality in Ecuador, as the modulus of elasticity depends not only on compressive strength but also on other variables such as aggregate origin, type of cement, production process, among others. In this study, a model using fuzzy logic is developed to estimate the modulus of elasticity by applying an ANFIS (Adaptive Neuro Fuzzy Inference Systems) logical inference system. Previous laboratory test data are used as prior knowledge to create membership functions (MFs) and fuzzy conditional rules (If-Then) to estimate new modulus of elasticity. In addition to compressive strength, other important variables are considered in the determination of the modulus of elasticity. The results are favorable, with a correlation coefficient R2=0.988 and a standard deviation S=0.097, indicating that the logical inference system (LIS) is capable of developing a unique model that allows considering all variables that influence the determination of the modulus of elasticity and providing reliable results.

Palabras clave : Concrete; Fuzzy logic; Estimation model; Modulus of elasticity; Logical inference system..

        · resumen en Español     · texto en Español     · Español ( pdf )