Imperial College London

DrLudovicRenson

Faculty of EngineeringDepartment of Mechanical Engineering

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 7088l.renson

 
 
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Location

 

558City and Guilds BuildingSouth Kensington Campus

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Summary

 

Summary

Dr Ludovic Renson is a Lecturer within the Dynamics Group in the Department of Mechanical Engineering at Imperial College London. Dr Renson received his PhD degree in Aerospace Engineering from the University of Liege (Belgium) in 2014 and was a Research Associate in the Department of Engineering Mathematics at the University of Bristol prior to his appointment at Imperial in 2019.

His research interests are in the dynamics and control of nonlinear systems, often with applications related to aerospace structures. His research currently includes the development of computational methods to study nonlinear structure dynamics, nonlinear model reduction, and advanced (control-based) experimental techniques for nonlinear systems. He currently holds a Research Fellowship from the Royal Academy of Engineering addressing the development of the next generation of testing methods for nonlinear structures.

Publications

Journals

Bagheri AK, Sonneville V, Renson L, 2024, Nonlinear normal modes of highly flexible beam structures modelled under the SE(3) Lie group framework, Nonlinear Dynamics, Vol:112, ISSN:0924-090X, Pages:1641-1659

Brake MRW, Renson L, Kuether RJ, et al., 2024, Preface, Conference Proceedings of the Society for Experimental Mechanics Series, ISSN:2191-5644, Pages:v-vii

Tüfekci M, El Haddad F, Salles L, et al., 2023, Effects of the seal wire on the nonlinear dynamics of the aircraft engine turbine blades, Journal of Engineering for Gas Turbines and Power: Transactions of the Asme, Vol:145, ISSN:0742-4795

Lee KH, Barton DAW, Renson L, 2023, Modelling of physical systems with a Hopf bifurcation using mechanistic models and machine learning, Mechanical Systems and Signal Processing, Vol:191, ISSN:0888-3270

Conference

Szydlowski MJ, Schwingshackl C, Renson L, 2023, Modeling nonlinear structures using physics-guided, machine-learnt models, 41st IMAC, A Conference and Exposition on Structural Dynamics 2023, Springer Nature Switzerland, Pages:71-74, ISSN:2191-5644

More Publications