Gaël Chevallier

ORCID: 0000-0002-1507-2942
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About
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Research Areas
  • Structural Health Monitoring Techniques
  • Vibration Control and Rheological Fluids
  • Dynamics and Control of Mechanical Systems
  • Adhesion, Friction, and Surface Interactions
  • Bladed Disk Vibration Dynamics
  • Vibration and Dynamic Analysis
  • Tribology and Lubrication Engineering
  • Brake Systems and Friction Analysis
  • Acoustic Wave Phenomena Research
  • Gear and Bearing Dynamics Analysis
  • Structural Engineering and Vibration Analysis
  • Probabilistic and Robust Engineering Design
  • Magnetic Bearings and Levitation Dynamics
  • Polymer composites and self-healing
  • Aeroelasticity and Vibration Control
  • Composite Structure Analysis and Optimization
  • Advanced machining processes and optimization
  • BIM and Construction Integration
  • Manufacturing Process and Optimization
  • Advanced Numerical Analysis Techniques
  • Structural Analysis of Composite Materials
  • Elasticity and Material Modeling
  • Shape Memory Alloy Transformations
  • Electric Motor Design and Analysis
  • Vehicle Dynamics and Control Systems

Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies
2015-2024

École Nationale Supérieure de Mécanique et des Microtechniques
2017-2024

Centre National de la Recherche Scientifique
2017-2024

Université de franche-comté
2016-2024

Laboratoire énergétique mécanique électromagnétisme
2024

Sorbonne Université
2024

Chimie de la Matière Condensée de Paris
2024

Université de technologie de belfort-montbéliard
2017-2022

Université Bourgogne Franche-Comté
2017-2022

Université de Bourgogne
2022

This paper studies a new type of smart metamaterial consisting piezoelectric actuators and digital synthetic impedance circuits (digital circuits). The circuit contains micro-controller. By programming the micro-controller, can establish any desired between terminals connected patch, therefore to program dynamical behaviors designed metamaterial. In this sense, programmable is studied. Experiments are conducted study its behaviors, with particular focus on vibration reduction. Numerical...

10.1088/1361-665x/ab6693 article EN Smart Materials and Structures 2019-12-31

10.1016/j.ijmecsci.2013.06.013 article EN International Journal of Mechanical Sciences 2013-07-10

An experimental benchmark and its three-dimensional finite element (FE) simulation are presented for free vibration effective electromechanical coupling of thick smart beams plates bonded symmetrically on their upper/lower surfaces with a single pair large piezoceramic patches. The so-called modal coefficient, which is post-processed from free-vibration analyses under short-circuit open-circuit electrodes, proposed as unified benchmarking comparator. For this purpose, the tests numerically...

10.1088/0964-1726/17/6/065007 article EN Smart Materials and Structures 2008-10-07

de documents scientifiques niveau recherche, publiés ou non, émanant des établissements d'enseignement et recherche français étrangers, laboratoires publics privés.

10.1088/1361-665x/aaf670 article FR Smart Materials and Structures 2018-12-06

The friction between interfaces at bolted joints plays a major role in the damping of structures. This paper deals with energy losses caused by micro-slips joints. aim this study is to define an analytical way these dissipation mechanisms which we examine through analysis new benchmark: flexural vibration clamped-clamped beam original positioning interfaces. exhibit behavior interface under constant and uniform normal stress. stress strain values are computed assumption quasi-static motion....

10.1142/s1758825110000597 article EN International Journal of Applied Mechanics 2010-06-01

The dataset presented in this work, called ORION-AE, is made of raw AE data streams collected by three different sensors and a laser vibrometer during five campaigns measurements varying the tightening conditions two bolted plates submitted to harmonic vibration tests. With seven operating conditions, was designed challenge supervised unsupervised machine/deep learning as well signal processing methods which are developed for material characterization or structural health monitoring (SHM)....

10.3390/data7030031 article EN cc-by Data 2022-03-02

Observing the loss of tightening torque using modal parameters is challenging due to variability and nonlinear effects in bolted joints. Thus, this paper proposes a combined application two probabilistic machine learning methods. First, Gaussian mixture model (GMM) learned estimated natural frequencies, assuming safe situation. This can assuredly detect lack indirect vibration measures other unknown states by computing damage index. A process regression (GPR) also considering set index pairs...

10.1177/14759217211054150 article EN Structural Health Monitoring 2022-03-04

New laboratory tests are presented for the experimental evaluation and assessment of piezoceramic shunted damping (PSD) concept cantilever Aluminium thin (long) beams bonded symmetrically on their upper/lower surfaces with single pairs small patches. Following these outcome, PSD efficiency measure is proposed to be so-called modal effective electromechanical coupling coefficient, which post-processed from free-vibrations analyses under short-circuit open-circuit electrodes For this purpose,...

10.1051/meca/2009073 article EN Mécanique & Industries 2009-09-01

10.1016/j.mechmachtheory.2017.06.019 article EN Mechanism and Machine Theory 2017-07-11
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