Imperial College London
Alternate

DrGiulianoAllegri

Faculty of Engineering, Department of Aeronautics

Honorary Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 5086g.allegri

 
 
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Location

 

212City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Yuan:2015:10.1016/j.ymssp.2015.02.015,
author = {Yuan, J and Allegri, G and Scarpa, F and Rajasekaran, R and Patsias, S},
doi = {10.1016/j.ymssp.2015.02.015},
journal = {Mechanical Systems and Signal Processing},
pages = {235--253},
title = {Novel parametric reduced order model for aeroengine blade dynamics},
url = {http://dx.doi.org/10.1016/j.ymssp.2015.02.015},
volume = {62-63},
year = {2015}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The work introduces a novel reduced order model (ROM) technique to describe the dynamic behavior of turbofan aeroengine blades. We introduce an equivalent 3D frame model to describe the coupled flexural/torsional mode shapes, with their relevant natural frequencies and associated modal masses. The frame configurations are identified through a structural identification approach based on a simulated annealing algorithm with stochastic tunneling. The cost functions are constituted by linear combinations of relative errors associated to the resonance frequencies, the individual modal assurance criteria (MAC), and on either overall static or modal masses. When static masses are considered the optimized 3D frame can represent the blade dynamic behavior with an 8% error on the MAC, a 1% error on the associated modal frequencies and a 1% error on the overall static mass. When using modal masses in the cost function the performance of the ROM is similar, but the overall error increases to 7%. The approach proposed in this paper is considerably more accurate than state-of-the-art blade ROMs based on traditional Timoshenko beams, and provides excellent accuracy at reduced computational time when compared against high fidelity FE models. A sensitivity analysis shows that the proposed model can adequately predict the global trends of the variations of the natural frequencies when lumped masses are used for mistuning analysis. The proposed ROM also follows extremely closely the sensitivity of the high fidelity finite element models when the material parameters are used in the sensitivity.
AU  - Yuan,J
AU  - Allegri,G
AU  - Scarpa,F
AU  - Rajasekaran,R
AU  - Patsias,S
DO  - 10.1016/j.ymssp.2015.02.015
EP  - 253
PY  - 2015///
SN  - 1096-1216
SP  - 235
TI  - Novel parametric reduced order model for aeroengine blade dynamics
T2  - Mechanical Systems and Signal Processing
UR  - http://dx.doi.org/10.1016/j.ymssp.2015.02.015
UR  - http://hdl.handle.net/10044/1/26828
VL  - 62-63
ER  -
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