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Previsão de ondas geradas por ventos em águas interiores e sua alteração devido à presença de vegetação aquática em margens de lagos

Authors: Morais, Vinicius Souza;

Previsão de ondas geradas por ventos em águas interiores e sua alteração devido à presença de vegetação aquática em margens de lagos

Abstract

Este trabalho dá continuidade e aperfeiçoa um modelo automatizado para estimativa de altura de ondas geradas em lagos de barragens, a partir dos dados característicos de vento. Infere sobre a climatologia dos ventos, a fim de determinar as maiores alturas de ondas e identificar pontos críticos, tanto para a segurança à navegação, quanto para as margens do reservatório. Lagos de barragens, foco desta dissertação são, em sua maioria, dotados de vegetação aquática. Dentro dessa temática, uma busca por modelos capazes de qualificar e quantificar o quão as ondas geradas pelo vento reagem ao atravessar esses obstáculos naturais em termos de oscilação das plantas, presentes nas margens, foi também discutida. Para os propósitos aqui expostos, um aplicativo computacional foi utilizado para a previsão de ondas e estruturado de maneira que pudesse fornecer resultados gráficos de forma automatizada com maior precisão e no menor tempo possível. O software, fruto do desenvolvimento dos estudos da equipe de pesquisa e mais recentemente aprimorado no presente trabalho, batizado de OndisaCAD, integra-se dentro de ambientes CADs, precisamente no AutoCAD da Autodesk, possibilitando, assim, a geração de ótimas interfaces e resultados gráficos. No que tange à dissipação de energia através da vegetação existente nos lagos e suas margens, o aspecto dinâmico associado à própria movimentação da vegetação foi comparado ao comportamento do movimento de vigas engastadas em sua parte inferior, o que permitiu prescrever a movimentação dos organismos vivos (plantas) frente a uma excitação provocada pela passagem de onda

This work continues and perfects an automated model for estimating the height of waves generated in lakes dams, entering the characteristic data of the wind. It follows on the climatology of the winds to determine the largest wave heights and identify critical points, for the safety of navigation and margin of the reservoir. Lakes dams, focus of this dissertation are mostly equipped with aquatic vegetation. Inside this subject, a search for models able to qualify and quantify how the waves generated by winds respond to cross these natural barriers in terms of oscillation of plants, present on the margin, was also discussed. For the purposes set out here, a software was used for predicting waves and structured so that could provide automated graphics results with more accurately and with a shortest possible time. The software, due to the development of studies of the research team and more recently extended in the present work, called OndisaCAD, works within CADs environments, specifically in AutoCAD of Autodesk's, allowing the generation of great interfaces and graphical results. With respect to the dissipating energy through the vegetation in the lakes and their margins, the dynamic aspect associated with their movement of the vegetation was compared to the behavior of the movement of beams embedded in its bottom, which allowed to prescribe the movement of living organisms (plants) front of an excitement caused by the passage of a wave

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Pós-graduação em Engenharia Mecânica - FEIS

Country
Brazil
Keywords

Wind-wave, Lakes, Dinamica de vegetação, Viscoelastic beams, Ondas produzidas pelo vento, Energy dissipation, Vigas viscoelásticas, Lagos, Margin vegetation, Numerical simulation, Simulação (Computadores), Dissipação de energia

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green