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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.

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Influence of nano-TiO2, nano-Fe2O3, nanoclay and nano-CaCO3 on the properties of cement/geopolymer concrete

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.
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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.
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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.
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Modeling and simulation of low-cycle fatigue life of steel reinforcing bars using artificial neural network

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.
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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.