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Showing papers by "Rashid K. Abu Al-Rub published in 2016"


Journal ArticleDOI
TL;DR: In this paper, a finite element method with periodic boundary conditions was used to predict effective electrical/thermal conductivities and elastic moduli of these TPMS-based foams.

173 citations


Journal ArticleDOI
TL;DR: In this article, the authors investigated experimentally and computationally the mechanical behavior of novel types of three-dimensional (3D) architectured two-phase IPCs, where the second hard reinforcing phase takes the architecture of one of the 3D non-intersecting and continuous TPMS-based solid sheets.
Abstract: Interpenetrating phase composites (IPCs) are novel types of multifunctional composite materials. This work focuses on investigating experimentally and computationally the mechanical behavior of novel types of three-dimensional (3D) architectured two-phase IPCs. The current IPCs are architectured using several morphologies of the fascinating and mathematically-known triply periodic minimal surfaces (TPMS) that promote several multifunctional attributes. Specifically, the second hard reinforcing phase takes the architecture of one of the 3D non-intersecting and continuous TPMS-based solid sheets. The mechanical response of the 3D printed polymer-based IPCs is measured under uniaxial compression where the effect of varying the second-phase architecture and volume fraction is explored. Anisotropy induced by the 3D printing is also investigated. 3D finite element analysis has been performed and validated for predicting elastic properties of the various types of TPMS-based IPCs. The most effective TPMS architecture in enhancing the mechanical properties and damage-tolerance has been identified.

87 citations


Journal ArticleDOI
TL;DR: In this article, triply periodic minimal surfaces (TPMS) are converted into three-dimensional solid-sheet networks and used as reinforcements within a matrix material creating interpenetrating phase composites (IPC).

84 citations


Journal ArticleDOI
TL;DR: In this article, the effect of mixing duration on the flexural strength of multi-walled carbon nanotubes (MWCNTs) reinforced cementitious composites was investigated, and the results showed that increasing the mixing duration improved the dispersion and strength of most MWCNT reinforced concrete batches.

47 citations


Journal ArticleDOI
TL;DR: In this article, a phenomenological cohesive zone damage-healing model (CZDHM) is proposed to model the time-and-temperature-dependent intrinsic selfhealing mechanism at the micro scale and demonstrate crack initiation, propagation, closure and healing.

25 citations


Journal ArticleDOI
TL;DR: In this article, a simple and scalable method is developed for making very electrically conductive and mechanically strong paper sheets using these novel pre-aligned carbon nanostructures to be used in various engineering applications.

22 citations


Journal ArticleDOI
11 Apr 2016
TL;DR: In this article, the use of carbon nanotubes (CNTs) and nanoclays in cement mortars was explored and two cascade feed-forward neural networks (NNs) were trained for CNT and nanoclay models.
Abstract: This study explores the use of carbon nanotubes (CNTs) and nanoclays in cement mortars. The paper presents modelling and optimisation of the compressive and flexural strengths of cement mortars containing CNTs and the compressive, tensile and flexural strengths of cement mortars including nanoclays. The CNT ratio, CNT aspect ratio and functionalisation effects are optimised, as are the montmorillonite nanoclay ratio and temperature effect. Mechanical strengths are modelled using two cascade feed-forward neural networks (NNs), designated CSNN-CNTs and CSNN-CLY for CNTs and nanoclays, respectively. The trained NN CNT and nanoclay models both successfully replicated experiments with significant accuracy. Inputs to the NN models were different mix combinations, optimised using a genetic algorithm to achieve optimal strength results. The optimisation process for mortars with CNTs revealed increases of 20·96% and 54·27% for compressive and flexural strengths, respectively. Similarly, optimisation of the mortar ...

13 citations


Journal ArticleDOI
TL;DR: In this paper, a coupled elastic-plasticity-damage constitutive model, AK Model, is applied to predict fracture propagation in rocks, which captures anisotropic effects and the distinct behavior of rocks in tension and compression.
Abstract: A coupled elastic-plasticity-damage constitutive model, AK Model, is applied to predict fracture propagation in rocks. The quasi-brittle material model captures anisotropic effects and the distinct behavior of rocks in tension and compression. Calibration of the constitutive model is realized using experimental data for Carrara marble. Through the Weibull distribution function, heterogeneity effect is captured by spatially varying the elastic properties of the rock. Favorable comparison between model predictions and experiments for single-flawed specimens reveal that the AK Model is reliable and accurate for modelling fracture propagation in rocks.

13 citations


Journal ArticleDOI
TL;DR: In this paper, a general thermodynamic-based framework is proposed to derive coupled moisture-mechanical induced damage constitutive relationships for multi-phase viscoelastic porous media.

12 citations