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Leandro Farina

Researcher at Universidade Federal do Rio Grande do Sul

Publications -  32
Citations -  393

Leandro Farina is an academic researcher from Universidade Federal do Rio Grande do Sul. The author has contributed to research in topics: Integral equation & Wind wave. The author has an hindex of 11, co-authored 30 publications receiving 324 citations. Previous affiliations of Leandro Farina include Institut Français & National Institute for Space Research.

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Radiation of water waves by a heaving submerged horizontal disc

TL;DR: In this paper, it was shown that the added-mass coefficient becomes negative for a range of frequencies when the disc is sufficiently close to the free surface of deep water, and the resulting integral equation is a generalization of Love's integral equation for the electrostatic field of a parallel-plate capacitor.
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Numerical simulation of extreme wave runup during storm events in Tramandaí Beach, Rio Grande do Sul, Brazil

TL;DR: In this article, a high resolution analysis of the interaction of irregular waves with natural and urban structures leading to extreme wave runup is presented, where wave propagation beyond the coastline is numerically predicted.
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Scattering of water waves by a submerged disc using a hypersingular integral equation

TL;DR: In this article, the authors considered the three-dimensional interaction between water waves and a submerged disc, in deep water, and reduced the problem to a hypersingular integral equation over the surface of the disc.
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Analysis of extreme wave events on the southern coast of Brazil

TL;DR: In this article, the wave model SWAN was used to simulate high waves on the southwestern Atlantic generated by extra-tropical cyclones and their impact on the Rio Grande do Sul (RS) coast is studied.
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On the problem of optimal approximation of the four-wave kinetic integral

TL;DR: In this paper, the problem of optimization of analytical and numerical approximations of Hasselmann's nonlinear kinetic integral is discussed in general form, and a principle to obtain the optimal approximation is formulated.