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High fidelity modeling of bladed disk/casing systems

ABG-132855 Thesis topic
2025-07-10 Public funding alone (i.e. government, region, European, international organization research grant)
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École Polytechnique de Montréal
Montréal - Canada
High fidelity modeling of bladed disk/casing systems
  • Engineering sciences
vibrations, nonlinear dynamics, aircraft engines, rotor/stator interactions

Topic description

Context and objectives

More stringent environmental constraints and a very competitive global context force manufacturers to face new challenges in order to improve the efficiency of turbomachines, be it in the aerospace sector or for power generation. The impossibility to compromise safety or the environmental footprint of such systems means that in early design stages designers must now understand and account for nonlinear vibration phenomena - such as blade/casing contacts - that are still only partially characterized today. The proposed Ph.D. project is part of a larger research program that aims at developing a numerical strategy for the simulation, the characterization and the consideration of blade/casing contact phenomena within compressor blade design stages using two complementary solution paradigms: in the time domain and in the frequency domain. This research program will give the opportunity to both industrial partners to share their common knowledge and expertise on this topic in order to develop a uniform numerical tool suited both for gas turbines blades and aircraft engine blades. 

Le travail de recherche sera effectué au Laboratoire d'Analyse Vibratoire et Acoustique (https://lava-wiki.meca.polymtl.ca/) (LAVA) de Polytechnique Montréal au Canada. Le candidat recruté travaillera sous la supervision de deux encadrants (Alain Batailly et Oguzhan Tuysuz), à Montréal, dans les locaux du LAVA. 

The proposed research has three main objectives: 

  1. Hyper reduction techniques for geometrically nonlinear reduced-order models. The inclusion of geometric nonlinearities in reduced-order models yields a significant computational burden that may lead to weeks of computations for the reduced-order model alone. Hyper reduction techniques offer a promising avenue for reducing computational times.
  2. Development of thermo-mechanical mistuned bladed disk models.  The combination of mistuning and contact non-linearities is a very recent field of research. Preliminary results indicate that localization factors tend to be significantly increased in comparison to those simulated in a linear framework. For blades where the vibration energy may be localized, thermo-mechanical effects may become essential to account for.
  3. Implementation of a dynamic update of modal reduction bases  for efficient multiphysics nonlinear dynamics simulations. 

Work environment

The selected candidate will be part of the LAVA which currently employ several researchers and graduate students working in areas closely related to that of the proposed research. All numerical developments will be made using the Python programming language. The candidate will benefit from the digital research infrastructure at LAVA (wiki website, gitlab platform, data and computation servers). The candidate will have the opportunity to supervise undergraduate students throughout the duration of the project. 

Starting date

2026-01-05

Funding category

Public funding alone (i.e. government, region, European, international organization research grant)

Funding further details

NSERC Alliance project

Presentation of host institution and host laboratory

École Polytechnique de Montréal

The Ph.D. thesis will be carried out in the Laboratory for Acoustics and Vibration Analysis ( https://wiki.lava.polymtl.ca/accueil ) at Polytechnique Montréal. 

PhD title

Doctorat en génie mécanique

Country where you obtained your PhD

Canada

Institution awarding doctoral degree

ECOLE POLYTECHNIQUE

Candidate's profile

The selected candidate will ideally have advanced notions of vibrations and nonlinear dynamics. A good knowledge of modelling methodologies including the finite element method is preferred. All numerical developments will be carried out using the Python programming language.

2025-09-30
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