This Ph.D. project is part of an international research collaboration involving Siemens Energy, Safran group, and the Laboratory of Acoustics and Vibration Analysis in Polytechnique Montréal. This research is funded by a NSERC Alliance research grant and will involve at least 10 graduate students in total.

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.

The proposed research has three main objectives:

1. obj 1: Industrial implementation of the regularized-Lanczos harmonic balance method (RL-HBM). Based on a previously developed methodology, this first objective aims at developing the frequency domain counterpart of an existing time domain solver. The sub-objectives are: (a) development of the RL-HBM solver and cross-verification of the obtained results with the time domain solver, (b) industrialization of HBM specific functionalities including: a continuation procedure, stability analysis and bifurcation tracking, and (c) implementation of an abradable coating wear model.
2. obj 2: Development of a numerical procedure for the live selection of relevant harmonics. While frequency methods are oftentimes considered more efficient than numerical time integration methods, the computational cost and complexity increases dramatically when a large number of nonlinear of degrees of freedom is accounted for. In this context, a live selection of relevant harmonics may significanlty improve numerical performances. The sub-objectives are: (a)assessment of existing numerical techniques for haromics content selection, and (b) implementation and validation on a configuration involving a mistuned industrial bladed disk.
3. obj 3: Detection of isolated branches of solutions. Several recent numerical developments offer promising avenues for the detection of isolated branches of solutions. Based on previous developments relating to the Melnikov principle, this objective intends to provide new insight on where isolated branches of solutions may be found.

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.