Experimental validation of a numerical 3-D finite model applied to wind turbines design under vibration constraints: TREVISE platform

3Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.

Abstract

With the advancement of wind turbines towards complex structures, the requirement of trusty structural models has become more apparent. Hence, the vibration characteristics of the wind turbine components, like the blades and the tower, have to be extracted under vibration constraints. Although extracting the modal properties of blades is a simple task, calculating precise modal data for the whole wind turbine coupled to its tower/foundation is still a perplexing task. In this framework, this paper focuses on the investigation of the structural modeling approach of modern commercial micro-Turbines. Thus, the structural model a complex designed wind turbine, which is Rutland 504, is established based on both experimental and numerical methods. A three-dimensional (3-D) numerical model of the structure was set up based on the finite volume method (FVM) using the academic finite element analysis software ANSYS. To validate the created model, experimental vibration tests were carried out using the vibration test system of TREVISE platform at ECAM-EPMI. The tests were based on the experimental modal analysis (EMA) technique, which is one of the most efficient techniques for identifying structures parameters. Indeed, the poles and residues of the frequency response functions (FRF), between input and output spectra, were calculated to extract the mode shapes and the natural frequencies of the structure. Based on the obtained modal parameters, the numerical designed model was up-dated.

Cite

CITATION STYLE

APA

Sellami, T., Jelassi, S., Darcherif, A. M., Berriri, H., & Mimouni, M. F. (2017). Experimental validation of a numerical 3-D finite model applied to wind turbines design under vibration constraints: TREVISE platform. Mechanics and Industry, 18(8). https://doi.org/10.1051/meca/2017046

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free