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Jamil M. Renno

Researcher at Qatar University

Publications -  73
Citations -  1440

Jamil M. Renno is an academic researcher from Qatar University. The author has contributed to research in topics: Finite element method & Vibration. The author has an hindex of 16, co-authored 60 publications receiving 1254 citations. Previous affiliations of Jamil M. Renno include University of Southampton & University of Nevada, Las Vegas.

Papers
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Modeling of Piezoelectric Energy Harvesting from an L-shaped Beam-mass Structure with an Application to UAVs:

TL;DR: In this paper, the L-shaped beam-mass structure was used as a new piezoelectric energy harvester configuration and a linear distributed parameter model was developed to predict the electromechanically coupled voltage response and displacement response of the beam structure.
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On the optimal energy harvesting from a vibration source

TL;DR: In this article, the authors studied the effect of damping on power optimality of a piezoelectric vibration-based energy harvester, which utilizes a harvesting circuit employing an inductor and a resistive load.
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On the forced response of waveguides using the wave and finite element method

TL;DR: In this paper, the wave and finite element (WFE) method is used to model a segment of the waveguide to obtain the wave response to a convected harmonic pressure (CHP).
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Calculation of reflection and transmission coefficients of joints using a hybrid finite element/wave and finite element approach

TL;DR: In this paper, a hybrid approach combining a finite element and a wave and finite element (WFE) model is presented for calculating the reflection and transmission coefficients of a joint, which allows for developing a model of the structure where the basis functions are the waves travelling through the structure's various waveguides.
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Generalized Design of an Anti-Swing Fuzzy Logic Controller for an Overhead Crane with Hoist

TL;DR: The behavior of many mechanical systems such as overhead cranes can be predicted through intuitive observation of their motion under various forces as discussed by the authors, which can be used to predict the behavior of an overhead crane.