TITLE:
The Effects of Nanoparticle Additives on Thermophysical Properties of Concrete Mixtures
AUTHORS:
Kamran Rahmati Shadbad, Ali Foroughi-Asl, Siamak Talatahari, Sassan Mohasseb
KEYWORDS:
Nanoparticle Blended Concretes, Zinc Oxide (ZnO), Magnesium Oxide (MgO), Composite Nanoparticles, Genetic Algorithm (GA) Programming, Time-Dependent Behavioral Model
JOURNAL NAME:
Open Journal of Civil Engineering,
Vol.12 No.4,
December
30,
2022
ABSTRACT: In recent years, energy-retrofitting is becoming an imperative aim for existing
buildings worldwide and increased interest has focused on the development ofnanoparticle blended concretes with adequate mechanical properties and durability performance, through the
optimization of concrete permeability and the incorporation of the proper nanoparticle
type in the concrete matrix. In order to investigate the potential use of nanocomposites
as dense barriers against the permeation of liquids into the concrete, three types
of nanoparticles including Zinc Oxide (ZnO), Magnesium Oxide (MgO), and composite nanoparticles were
used in the present study as partial replacement of cement. Besides, the effect of adding these nanoparticles on both pore structure and
mechanical strengths of the concrete at different ages was determined, and scanning electron microscopy (SEM) images were then used
to illustrate the uniformity dispersion of nanoparticles in cement paste. It was
demonstrated that the addition of a small number of nanoparticles effectively enhances
the mechanical properties of concrete and consequently reduces the extent of the
water permeation front. Finally, the behavioral models using Genetic Algorithm (GA) programming were developed to describe
the time-dependent behavioral characteristics of nanoparticle blended concrete samples
in various compressive and tensile stress states at different ages.