Marielle Debeurre

ESR 13:
Marielle Debeurre

My name is Marielle Debeurre and I was born in Phoenix, Arizona, USA in a bi-cultural French-American family. I studied Mechanical Engineering at Arizona State University and Barrett, the Honors College, graduating with a Bachelor’s degree in 2019 and a Master’s degree in 2020. Although I spent the majority of my childhood education studying liberal arts and humanities, I have always had a strong interest in science and mathematics in particular. Given my background, engineering was difficult for me to learn, but as I continued to study it, I grew more engrossed in understanding how the world works and in providing solutions to the world’s problems. During my years at ASU, I held three engineering internship positions in data science, programming, aerospace engineering and systems engineering. I specialized in control systems and robotics during my Master’s studies and oversaw the undergraduate controls laboratory.

Although I originally planned for a career in aerospace engineering, I began graduate research as a Master’s student. My research focused on wearable robotic systems for human gait rehabilitation, with a specialization in developing control algorithms and experimental design optimization. I cultivated a passion for research and, coupled with my love of teaching, decided to pursue a PhD to broaden my background further. I always knew I wanted to complete my PhD studies in Europe and my industry and research experiences seemed a perfect fit for THREAD, which was recommended to me by the head of graduate studies in my engineering school at ASU. I am excited for the opportunity to collaborate with other researchers from around the world and with European industry partners, and I look forward to the many accomplishments that are surely in store for the partners and ESRs of project THREAD.


Host Institution
École Nationale Supérieure d'Arts et Métiers (France)
Supervisor

Description

The ESR will investigate the nonlinear dynamics of slender beams in large rotation nonlinear dynamics. New modelling strategies will be based on the coupling of quaternions (for rotation parametrisation) / finite elements (for discretisation) / asymptotic numerical method (for continuation) and the harmonic balance method (to get periodic solutions). Then, reduced order modelling (nonlinear normal mode concept) will be used to reduce the dynamics and obtain accurate numerical solutions. Targeted industrial applications will be nonlinear vibration absorbers, for which the stiffness of the absorber will be realised by prestressed beams. The numerical part of the work will be implemented in an open source software package based on the MANLAB solver.

Expected Results

Firstly, original and efficient numerical strategies for the nonlinear dynamics of beams in the frequency domain will be available at the end of the ESR PhD. Secondly, the special concept of nonlinear modes will be applied for the first time to those problems and tested to reduce the dynamics and also give physical insights in the phenomena

Secondments

planned at Valeo (industrial partner)

associated with the Industrial Challenges

IC 8 Automotive engineering II
IC 9 Software development