Enabling Harmonic Balance Methods to be applied for distributed material and geometrical nonlinearities in structural dynamics

Lead Research Organisation: Imperial College London
Department Name: Mechanical Engineering

Abstract

The demand to reduce the impact of aviation on the environment is leading jet engine manufacturers to increase the fuel and propulsion efficiency of its engines. This in turn is pushing materials to its physical limits by undergoing increasingly higher thermo-mechanical loads. In this regime, blades and other engine components are subjected to larger deformations generating nonlinearities which activates new failure mechanisms not dealt before. Therefore, vibration analysis is essential to develop new methodologies for the accurate prediction of components failure.

In this project an investigation on the effect of nonlinearities on the dynamic behaviour of the engine blades will be carried out by the Finite Element Method combined with the Harmonic Balance method. This aims to develop and validate methodologies for the identification and control of undesired vibration modes which will inform new design choices. Thus, the objectives of this PhD research are:

- To gain a full understanding on the physical phenomenon involved in blade vibrations of the jet engines.
- To develop a suitable modelling approach for the blades, including the distributed material and geometrical nonlinearities.
- To ensure the nonlinear responses of the structures can be calculated via the Harmonic Balance Method combined with Finite Element model.
- To investigate the possible options available to generate reduced order models capturing the effects of distributed nonlinearities

The approach to the above goals is to validate the analysis for the nonlinear vibrations and apply the methodology on different type of blades to determine the important parameters for design and the influences of different nonlinearities on the dynamic responses of the blades.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/P51052X/1 01/10/2016 30/03/2022
2155162 Studentship EP/P51052X/1 30/09/2017 29/03/2021 Shuqing Lian
 
Description In this project an investigation on the effect of nonlinearities on the dynamic behaviour of the engine blades will be carried out by the Finite Element Method combined with the Harmonic Balance method. This aims to develop and validate methodologies for the identification and control of undesired vibration modes which will inform new design choices. Thus, the objectives of this PhD research are:
• To gain a full understanding on the physical phenomenon involved in blade vibrations of the jet engines.
• To develop a suitable modelling approach for the blades, including the distributed material and geometrical nonlinearities.
• To ensure the nonlinear responses of the structures can be calculated via the Harmonic Balance Method combined with Finite Element model.
• To investigate the possible options available to generate reduced order models capturing the effects of distributed nonlinearities
At this stage, the first three objectives of the project are finish and the fourth one is working in progress.
Exploitation Route The approach to the above goals is to validate the analysis for the nonlinear vibrations and apply the methodology on different type of blades to determine the important parameters for design and the influences of different nonlinearities on the dynamic responses of the blades.
Sectors Aerospace, Defence and Marine

 
Description The demand to reduce the impact of aviation on the environment is leading jet engine manufacturers to increase the fuel and propulsion efficiency of its engines. This in turn is pushing materials to its physical limits by undergoing increasingly higher thermo-mechanical loads. In this regime, blades and other engine components are subjected to larger deformations generating nonlinearities which activates new failure mechanisms not dealt before. Therefore, vibration analysis is essential to develop new methodologies for the accurate prediction of components failure.
Sector Aerospace, Defence and Marine