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Ramin Sedaghati

Researcher at Concordia University

Publications -  177
Citations -  3354

Ramin Sedaghati is an academic researcher from Concordia University. The author has contributed to research in topics: Finite element method & Magnetorheological fluid. The author has an hindex of 29, co-authored 154 publications receiving 2581 citations. Previous affiliations of Ramin Sedaghati include Concordia University Wisconsin & University College West.

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Benchmark case studies in optimization of geometrically nonlinear structures

TL;DR: In this paper, a structural optimization algorithm is developed for truss and beam structures undergoing large deflections against instability, which combines the nonlinear buckling analysis using the displacement control technique, with the optimality criteria approaches.
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Temperature dependency of magnetorheological fluids’ properties under varying strain amplitude and rate

TL;DR: In this paper, a rotary rheometer was used to evaluate the effects of temperature and magnetic field on the pre- and post-yield properties of magnetorheological (MR) fluids.
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Development of a new torsional vibration damper incorporating conventional centrifugal pendulum absorber and magnetorheological damper

TL;DR: In this article, a hybrid torsional vibration damper is proposed incorporating a conventional centrifugal pendulum vibration absorber and a magnetorheological damper, which can attenuate vibration under unpredictable environmental conditions.
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Modeling and dynamic analysis of a vehicle-flexible pavement coupled system subjected to road surface excitation

TL;DR: The system response due to the moving vehicular load on rough road supported by a linear visco-elastic foundation was investigated and the effects of parameters such as vehicle speed, road roughness, soil stiffness and suspension damping on the responses were investigated.
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Optimization of thin-walled structures with geometric nonlinearity for maximum critical buckling load using optimality criteria

TL;DR: In this article, two optimality criteria are presented for shape optimization of thin-walled structures with geometric nonlinearity modeled by finite elements, and the optimization problem considers the thickness and geometry design variables, and aims to maximize the critical load of the structure subject to constant total mass.