RT info:eu-repo/semantics/article
T1 Fuzzy model for predicting the strength of mortars made with Pozzalani cement and volcanic sand from electrical resistivity
A1 Gutiérrez García, Francisco Javier
A1 Alayón Miranda, Silvia
A1 González Díaz, Eduardo
K1 Coating mortar
K1 Electrical resistivity
K1 Mechanical strength
K1 Fuzzy logic
K1 Predictive modelling
AB Coating mortars act as a physical barrier to protect the load-bearing structure against corrosion. However, not all mortars have the same protective capacity. Hydration in the early ages of manufactured mortars is a very influential parameter in their electrical resistivity values and in the evolution of their mechanical performance. In this work, the electrical resistivity data and its relationship with the evolution of the mechanical strength in different mortar dosages are analysed. From the data obtained, a predictive system with fuzzy logic is designed with the aim of predicting the value of the compressive strength of the mortar at the age of 28 days based on the electrical resistivity measurement obtained within the first seven days after its manufacture. The designed system has been validated with data from other mortar dosages not included in the design, proving to be a useful tool for establishing quality criteria for coating mortars.
SN 2352-7102
YR 2023
FD 2023
LK http://riull.ull.es/xmlui/handle/915/36010
UL http://riull.ull.es/xmlui/handle/915/36010
LA en
DS Repositorio institucional de la Universidad de La Laguna
RD 18-dic-2024