معرفی
Charfeddine Mechri is an Associate Professor at Le Mans University's Institute of Acoustics, specializing in nonlinear acoustics and ultrasonics for material characterization. His research focuses on non-destructive testing of complex materials including polymer concrete and composites, utilizing advanced techniques like acoustic emission and coda wave interferometry to monitor damage evolution and nonlinear relaxation phenomena.
Mechri's primary research areas encompass nonlinear acoustics, ultrasonics, and non-destructive evaluation with emphasis on elastic wave propagation in complex media, slow dynamics in hysteretic materials, and damage detection in civil engineering structures. His work investigates conditioning/relaxation effects in concrete and composites through experimental analysis of damping-strain relationships, nonlinear elastic imaging, and guided wave propagation. Key methodologies include Lamb mode scattering analysis, acoustic emission signal processing, and passive monitoring of nonlinear relaxation.
Analysis of his 2017-2023 publications reveals consistent focus on applying nonlinear acoustic principles to structural health monitoring. His research demonstrates how slow dynamics effects can enhance concrete damage detection, while his work on polymer concrete characterizes nonlinear relaxation through acoustic emission. Recent studies integrate cluster analysis of acoustic signals with 3D wave scattering models to improve leak detection in infrastructure and damage pattern recognition in composites.
Mechri operates within Le Mans University's Institute of Acoustics, which maintains specialized facilities for acoustic/vibratory measurements, opto-acoustic experimentation, and optical metrology. The institute's research spans transversal axes including metamaterials, nonlinear acoustics, and non-destructive testing, with applications from musical instruments to civil engineering structures. His work contributes significantly to the institute's mission of advancing acoustic science through experimental and computational approaches to material characterization.
