R
Rami A. Hawileh
Researcher at American University of Sharjah
Publications - 152
Citations - 3915
Rami A. Hawileh is an academic researcher from American University of Sharjah. The author has contributed to research in topics: Fibre-reinforced plastic & Beam (structure). The author has an hindex of 31, co-authored 113 publications receiving 2313 citations. Previous affiliations of Rami A. Hawileh include University of Sharjah & Areva.
Papers
More filters
Journal ArticleDOI
Influence of nano-TiO2, nano-Fe2O3, nanoclay and nano-CaCO3 on the properties of cement/geopolymer concrete
Jamal A. Abdalla,Blessen Skariah Thomas,Rami A. Hawileh,Bharat Bhushan Jindal,Erandi Ariyachandra +4 more
TL;DR: In this paper , the authors provide a comprehensive summary of recent developments on the use of nanomaterials as a performance enhancer in cement/geopolymer concrete. And they confirm the feasibility of using the nano-materials in cement concrete, with the required properties of building materials.
Journal ArticleDOI
Durability of the Bond between CFRP Plates and Concrete Exposed to Harsh Environments
TL;DR: In this paper, the durability of the bond between the concrete and carbon fiber reinforced polymer (CFRP) interfaces when subjected to severe environmental exposure has been investigated, and several CFRP-concrete prisms have been subjected to several sets of environmental exposure conditions and preloaded with 3 and 5kN of sustained loading, amounting to approximately 15 and 25% of ultimate load.
Journal ArticleDOI
Nonlinear behavior of shear deficient RC beams strengthened with near surface mounted glass fiber reinforcement under cyclic loading
TL;DR: In this paper, the authors evaluated the cyclic loading response of reinforced concrete (RC) beams strengthened with Glass Fiber Reinforced Polymer (GFRP) rods using the near surface mounted (NSM) technique.
Journal ArticleDOI
Modeling and simulation of low-cycle fatigue life of steel reinforcing bars using artificial neural network
Jamal A. Abdalla,Rami A. Hawileh +1 more
TL;DR: In this article, a model for predicting the low-cycle fatigue life of steel reinforcing bars using Artificial Neural Network (ANN) is presented, which is based on a Radial Basis Function (RBF) artificial neural network topology with two additional hidden layers and four neurons (processing elements) in each of these layers.
Journal ArticleDOI
Analysis of RC T-beams strengthened with CFRP plates under fire loading using ANN
TL;DR: In this article, an alternative approach to predicting fire resistance of reinforced concrete (RC) T-beams that are both strengthened with Carbon Fiber Reinforced Polymers (CFRPs) plates and insulated with different protecting materials, and exposed to different fire scenarios is presented.