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Ozgur Kurc

Researcher at Middle East Technical University

Publications -  45
Citations -  467

Ozgur Kurc is an academic researcher from Middle East Technical University. The author has contributed to research in topics: Structural health monitoring & Wind tunnel. The author has an hindex of 12, co-authored 44 publications receiving 372 citations. Previous affiliations of Ozgur Kurc include Bilkent University & Georgia Institute of Technology.

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Optimum design of high-rise steel buildings using an evolution strategy integrated parallel algorithm

TL;DR: The present study addresses a parallel solution algorithm for optimum design of large steel space frame structures, in particular high-rise steel buildings, with a novel discrete evolution strategy optimization method to effectively size these systems for minimum weight according to the provisions of ASD-AISC specification and various practical aspects of design process.
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Wireless Displacement Sensing Enabled by Metamaterial Probes for Remote Structural Health Monitoring

TL;DR: A wireless, passive, metamaterial-based sensor that allows for remotely monitoring submicron displacements over millimeter ranges and holds a great promise for applications in remote structural health monitoring.
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A Wireless Passive Sensing System for Displacement/Strain Measurement in Reinforced Concrete Members

TL;DR: The proposed sensing technology is demonstrated to be a good candidate for wireless structural health monitoring (SHM) of reinforced concrete members by its high sensitivity and wide dynamic range.
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A comparative study on different analysis approaches for estimating the axial loads on columns and structural walls at tall buildings

TL;DR: In this paper, the axial load on columns and structural walls at tall buildings is estimated using several analysis approaches commonly used during the design of such buildings, such as time-dependent deformations of concrete and the way the building is constructed.
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Wireless Measurement of Elastic and Plastic Deformation by a Metamaterial-Based Sensor

TL;DR: The results indicate that the metamaterial-based sensor holds great promise for its accurate, robust and wireless measurement of the elastic and plastic deformation of a rebar, providing beneficial information for remote structural health monitoring and post-earthquake damage assessment.