Dana Nasr

Dana Nasr
University of Balamand | UOB · Department of Civil Engineering

PhD

About

6
Publications
939
Reads
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44
Citations
Citations since 2017
4 Research Items
43 Citations
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2017201820192020202120222023051015
2017201820192020202120222023051015

Publications

Publications (6)
Article
Full-text available
The arbitrary placement of sensors in concrete structures measures a considerable amount of unnecessary data. Optimal sensor placement methods are used to provide informative data with the least cost and maximum efficiency. In this study, a robust optimal sensor placement framework that combines an optimization-based algorithm, the simulated anneal...
Article
The current knowledge and building code recommendations for bond behavior between concrete and embedded steel reinforcement become unwarranted when casting takes place in humid or fully submerged water conditions. The main objective of this paper is to assess the effect of underwater casting on the concrete mechanical and bond properties, including...
Article
Limited studies addressed the concurrent effects of iron oxide pigments (IOPs) and styrene-butadiene rubber (SBR) latexes on properties of self-leveling mortars (SLMs) intended for decorative and aesthetic overlays. Different mortar series prepared with 0.45-0.6 water-to-cement ratio (w/c), 2%-8% yellow or red colored IOP, and 5%-15% SBR are invest...
Article
The difficulty in modeling complex nonlinear structures lies in the presence of significant sources of uncertainties mainly attributed to sudden changes in the structure’s behavior caused by regular aging factors or extreme events. Quantifying these uncertainties and accurately representing them within the complex mathematical framework of Structur...
Article
With recent technological advances, the deployment of monitoring devices in structures is becoming more abundant. In an ideal scenario, one would deploy sensors on every corner of a structure, but the problem of dealing with the substantial amount of online data thus generated arises. This study presents a novel framework based on combining genetic...
Conference Paper
Full-text available
A robust methodology is proposed in this study for determining the optimal locations of sensors in a structure to extract the most informative measurement data for the purpose of parameter estimations. First, the Ensemble Kalman Filter (EnKF) is used as a history matching method to predict and update the state and model parameters of the system. Th...

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