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Daniele Zulli

Researcher at University of L'Aquila

Publications -  48
Citations -  1174

Daniele Zulli is an academic researcher from University of L'Aquila. The author has contributed to research in topics: Nonlinear system & Galerkin method. The author has an hindex of 17, co-authored 46 publications receiving 1019 citations.

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Analytical and numerical approaches to nonlinear galloping of internally resonant suspended cables

TL;DR: In this article, a model of a curved cable-beam, geometrically nonlinear and able to torque, was used to account for quasi-steady aerodynamic forces, including the effect of static swing of the cable and dynamic twist of the cross-section.
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On the effect of twist angle on nonlinear galloping of suspended cables

TL;DR: In this article, a nonlinear model of cable, able to twist, is formulated for small sag-to-length ratios (e.g. 1/10) and technical parameter values proper to electrical transmission lines, the motion is ruled by the classical equations of the perfectly flexible cable, plus a further equation governing the twist evolution.
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Dynamic analysis of externally excited NES-controlled systems via a mixed Multiple Scale/Harmonic Balance algorithm

TL;DR: In this paper, a general, nonlinear, multi-d.o.f. structure, excited by harmonic external force in 1:1 resonance with one of the modes of the system, is considered.
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Aeroelastic instability analysis of NES-controlled systems via a mixed multiple scale/harmonic balance method

TL;DR: In this paper, a nonlinear energy sink (Nonlinear Energy Sink) is used to transfer energy from the main structure to the secondary structure, and it is shown that NES, under suitable conditions, can shift forward the bifurcation point, and moreover, it can reduce the amplitude of the limit cycles.
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Parametric, external and self-excitation of a tower under turbulent wind flow

TL;DR: In this article, the analysis of a self-excited tower under turbulent wind flow is carried out, where the structure is considered as a one dof nonlinear system, and the implications of this modeling are deeply discussed.