Author: ELIA MERCEDES ALONSO GUZMAN

Predicting Concrete Comprenssive Strength and Modulus of Rupture Using Different NDT Techniques

WILFRIDO MARTÍNEZ MOLINA ANDRES ANTONIO TORRES ACOSTA Juan Carlos Jáuregui Hugo Luis Chávez García ELIA MERCEDES ALONSO GUZMAN Juan Carlos Arteaga_Arcos MARIO GRAFF GUERRERO (2014)

Quality tests applied to hydraulic concrete such as compressive, tension, and bending strength are used to guarantee proper

characteristics ofmaterials. All these assessments are performed by destructive tests (DTs). The trend is to carry out quality analysis

using nondestructive tests (NDTs) as has been widely used for decades.This paper proposes a framework for predicting concrete

compressive strength and modulus of rupture by combining data from four NDTs: electrical resistivity, ultrasonic pulse velocity,

resonant frequency, and hammer test rebound withDTs data.Themodel, determined fromthemultiple linear regression technique,

produces accurate indicators predictions and categorizes the importance of each NDT estimate. However, the model is identified

fromall the possible linear combinations of the available NDT, and it was selected using a cross-validation technique. Furthermore,

the generality of the model was assessed by comparing results from additional specimens fabricated afterwards.

Article

Tecnologías de la Información y Comunicación INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS OTRAS ESPECIALIDADES TECNOLÓGICAS OTRAS OTRAS