Prediction of the non-linear aeroelastic behavior of a cantilever flat plate and equivalent 2D model
[EN] Reducing structure weigh is one of the main strategies for decreasing environmental and manufacturing costs of engineering solutions. The reduction in material is normally related with a higher impact of aeroelastic solicitations. For some industrial cases it is needed to account for non-linear...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/182700 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/182700 |
| Access Level: | acceso abierto |
| Palabra clave: | Aeroelasticity Computational fluid dynamics Fluid structure interaction Non-linear aerodynamics Unsteady Reynolds averaged Navier Stokes Structural dynamics MAQUINAS Y MOTORES TERMICOS INGENIERIA AEROESPACIAL |
| Sumario: | [EN] Reducing structure weigh is one of the main strategies for decreasing environmental and manufacturing costs of engineering solutions. The reduction in material is normally related with a higher impact of aeroelastic solicitations. For some industrial cases it is needed to account for non-linear aerodynamics and, therefore, the whole fully coupled set of equations needs to be simulated in order to predict its behavior. One possible way of reducing the high computational cost associated with this problem is the use of an equivalent 2D model, whose derivation is not straightforward. This article presents a methodology for reducing the order from a complete three dimensional arbitrary beam to its equivalent 2D characteristic section. The behavior of both systems is analyzed and it is shown how, when the methodology is applied, the resulting 2D system is capable to predict similar results with a computational cost which is reduced by orders of magnitude. |
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