4.5 Article

The Properties of Cement-Mortar at Different Cement Strength Classes: Experimental Study and Multi-objective Modeling

Journal

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
Volume 47, Issue 10, Pages 13381-13396

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s13369-022-06820-7

Keywords

Cement-mortar; Multi-scale study; Cement strength class; Multi-objective model

Ask authors/readers for more resources

A multi-scale experimental study was conducted to investigate the effect of different cement strength classes on the porosity, flexural, and compressive strengths of cement-mortar. The study found that the porosity and strengths of the cement-mortar varied significantly with different cement strength classes. A new multi-objective model using artificial neural network was proposed to analyze the experimental data and provide accurate predictions of the properties. The study highlights the importance of considering cement strength class when designing cement-mortar.
A multi-scale experimental study was carried out to investigate the porosity, flexural and compressive strengths of cement-mortar at different cement strength classes (CSCs). Specifically, 54 mix designs (totally 324 specimens) were first defined and then the produced cement-mortar specimens were tested to consider their properties. To identify the microstructure of the specimens at different conditions, scanning electron microscope (SEM) imaging and energy dispersive spectroscopy (EDS) analysis were also performed. The results show that the porosity, and flexural and compressive strengths change significantly at different CSCs. At the same mix proportion, the cement-mortar has lower porosity as well as higher flexural and compressive strengths as the CSC gets higher. Considering the combined effects of various parameters on the mentioned properties, a new multi-objective model using artificial neural network (ANN) was proposed to analyze the experimental data of porosity, and flexural and compressive strengths. The results show that the proposed model is able to provide predictions with good accuracy.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available