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Claudio Lugni

Researcher at Norwegian University of Science and Technology

Publications -  96
Citations -  2117

Claudio Lugni is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Sea state & Seakeeping. The author has an hindex of 26, co-authored 92 publications receiving 1757 citations. Previous affiliations of Claudio Lugni include Harbin Engineering University & United States Naval Research Laboratory.

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Numerical and experimental study on the parametric roll resonance for a fishing vessel with and without forward speed

TL;DR: In this paper, the authors investigated parametric resonance in roll motion (known shortly as parametric roll) was studied for a fishing vessel in regular waves, which is an instability and resonance phenomenon that can lead the roll to reach very high oscillation amplitudes at its natural frequency, depending on the damping level involved In the worst cases it is responsible for vessel capsize.
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Towards a fully 3D domain-decomposition strategy for water-on-deck phenomena

TL;DR: In this paper, a 3D Domain-Decomposition (DD) strategy is used, where a linear potential-flow seakeeping analysis of the vessel is coupled with a local nonlinear rotational-flow investigation for the prediction of water-on-deck phenomena.
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Comparison of Nonlinear Wave-Loading Models on Rigid Cylinders in Regular Waves

TL;DR: In this article, the effects of nonlinearities in wave kinematics and hydrodynamic loading models were investigated in very steep waves where ringing occurs and the numerical wave-loading models tend to lose validity.
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Scaling laws for the water entry of a three-dimensional body

TL;DR: In this article, a 3D body free to fall from different heights against a flat water surface is studied and accurate measurements of acceleration and velocity in water are performed; for the first time, local measurements of the pressure field in the air cavity entrapped behind the falling body are executed.
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Normalized Scalar Product Approach for Nearshore Bathymetric Estimation From X-Band Radar Images: An Assessment Based on Simulated and Measured Data

TL;DR: In this paper, the authors investigated the capability of X-band radar systems to estimate nearshore bathymetry fields by considering both simulated and measured radar data, and proposed an adaptive partitioning strategy that takes into account the wave evolution in nearshore shallow waters.