A general Bayesian framework for ellipse-based and hyperbola-based damage localization in anisotropic composite plates

Autor: Nazih Mechbal, Mikhail Guskov, Claude Fendzi, Marc Rebillat, Gérard Coffignal

Publikováno v: Journal of Intelligent Material Systems and Structures
Journal of Intelligent Material Systems and Structures, SAGE Publications, 2015, pp.32

This paper focuses on Bayesian Lamb wave-based damage localization in structural health monitoring of anisotropic composite materials. A Bayesian framework is applied to take account for uncertainties from experimental time-of-flight measurements and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cddb53b6b616b5bfa919f7a0b945385f
https://doi.org/10.1177/1045389x15571383

Verification and Validation of Structural Health Monitoring Algorithms: A Maturation Procedure

Autor: Marc Rebillat, Ouadie Hmad, Nazih Mechbal, Claude Fendzi

Publikováno v: 9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Sep 2015, Paris, France. pp.952-957

International audience; Structural Health Monitoring (SHM) system offers new approaches to interrogate the integrity of structures. However, their reliability has still to be demonstrated an quantified to enable confidence transition from R&D to fiel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c34e13afa388cfe6bbf20d18b786c4f8
https://hal.archives-ouvertes.fr/hal-01200831/file/PIMM-IFAC-HMAD-2015.pdf