Modeling of Cementitious Representative Volume Element with Various Water–Cement Ratios

Abstract

This study uses the finite element method (FEM) to measure the mechanical properties of microstructure-based cementitious representative volume elements (RVEs) with various water–cement ratios (W/Cs) generated by CEMHYD3D. The finite element boundary condition effects that significantly and computationally change the elastic properties are studied and discussed. Various boundary conditions in ABAQUS are applied and compared with the results obtained using the variational asymptotic method for unit cell homogenization (VAMUCH). This comparison is conducted using ANSYS. This study aims to analyze and determine the effect of different boundary conditions in detail on the prediction of the elastic properties of cementitious RVE with various W/Cs and identify the best approach in this regard. Results show that Young’s, shear, and bulk moduli decrease with the increase in W/C and the boundary conditions in ABAQUS influence the outcomes, particularly on bulk modulus and Poisson’s ratio.

Sensitivity analysis of parameters affecting the seismic performance of RC columns strengthened by fabric-reinforced cementitious mortar

“…However, physical experiments are often time-consuming and costly. Recently, with the development of many efficient and highly reliable computational analysis algorithms, Finite Element Analysis (FEA) has been used to analyze the effectiveness and behavior of FRCM in strengthening structures, and has been verified with high accuracy [37,45,[57][58][59]. Hence, in this study, FEA is an effective choice to provide the opportunity for virtual experiments, which are cost-efficient and time-saving, assuming well-calibrated models.…”

Novel hybrid HGSO optimized supervised machine learning approaches to predict the compressive strength of admixed concrete containing fly ash and micro-silica

“…Results indicate that mechanical properties decrease with increasing mesh density. Also similar other researches are available for predictions of material properties for the concrete and cement paste, using experiments or numerical methods [22][23][24][25].…”