• français
    • English
    français
  • Login
Help
View Item 
  •   Home
  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)
  • View Item
  • Home
  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Extrapolation of AR models using cubic splines for damage progression evaluation in composite structures

Article dans une revue avec comité de lecture
Author
DA SILVA, Samuel
225522 Universidade Estadual Paulista Júlio de Mesquita Filho = São Paulo State University [UNESP]
PAIXÃO, Jessé
225522 Universidade Estadual Paulista Júlio de Mesquita Filho = São Paulo State University [UNESP]
RÉBILLAT, Marc
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]
MECHBAL, Nazih
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]

URI
http://hdl.handle.net/10985/20458
DOI
10.1177/1045389x20963171
Date
2020
Journal
Journal of Intelligent Material Systems and Structures

Abstract

This paper presents the potentiality of the use of extrapolation of a set of Auto-Regressive (AR) models to inspect a future damage sensitive indices based on changes in one-step-ahead prediction errors. The key idea is to use multiple AR models to assess a data-driven model to represent and predict the time-series outputs of the PZT sensors receiving Lamb waves in a composite coupon. Based on some simplified assumptions, after detecting initial damage using some previous classifier, its progression evaluation by interpolating the AR parameters is proposed and examined based on cubic spline functions. After, an extrapolated AR model using this information may verify the future state and to inspect how the damage could progress. An aeronautical composite panel with bonded piezoelectric elements that act both as sensors and actuators is utilized to examine the relationship between the variation of the identified model parameters with various levels of simulated damage. The results have shown a smooth and adequate correlation between the estimates obtained by the extrapolated model and the actual progress of the damage observed. The significant advantage of the proposed procedure is implementing this task without adopting a complicated and costly mathematical-physical model.

Files in this item

Name:
PIMM_JMMS_DASILVA_2021
Size:
1.932Mb
Format:
PDF
View/Open

Collections

  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)

Related items

Showing items related by title, author, creator and subject.

  • Gaussian Process NARX Model for Damage Detection in Composite Aircraft Structures 
    Article dans une revue avec comité de lecture
    DA SILVA, Samuel; VILLANI, Luis G. G.; RÉBILLAT, Marc; MECHBAL, Nazih (ASME International, 2021-12)
    This article demonstrates the Gaussian process regression model’s applicability combined with a nonlinear autoregressive exogenous (NARX) framework using experimental data measured with PZTs’ patches bonded in a composite ...
  • DATA-DRIVEN AUTOREGRESSIVE MODEL IDENTIFICATION FOR STRUCTURAL HEALTH MONITORING IN ANISOTROPIC COMPOSITE PLATES 
    Communication avec acte
    DA SILVA, Samuel; PAIXAO, Jessé; REBILLAT, Marc; MECHBAL, Nazih (A. Benjeddou, N. Mechbal and J.F. Deü, 2019)
    A simple data-driven AutoRegressive (AR) model may be used to assess a model to describe and to predict the time-series outputs of the PZT sensors receiving Lamb waves for different operating conditions in composite ...
  • Improving Lamb Wave detection for SHM using a dedicated LWDS electronics 
    Communication avec acte
    JAUSSAUD, Gladys; REBUFA, Jocelyn; FOURNIER, Marc; LOGEAIS, Matthieu; BENCHEIKH, Nabil; REBILLAT, Marc; MECHBAL, Nazih (NTD, 2019)
    In the context of Condition Based Maintenance (CBM) for aircrafts, Structural Health Monitoring (SHM) is one main field of research. Detection and localization of damages in a structure request reliability of the equipment ...
  • Laser shock a novel way to generate calibrated delamination in composites: concept and first results 
    Communication avec acte
    GHRIB, Meriem; BERTHE, Laurent; REBILLAT, Marc; MECHBAL, Nazih; GUSKOV, Mikhail; ECAULT, Romain (2015)
    Structural Health Monitoring (SHM) has been gaining importance in recent years. SHM aims at providing structures with similar functionality as the biological nervous system and it is organized into four main steps: detection, ...

Browse

All SAMCommunities & CollectionsAuthorsIssue DateCenter / InstitutionThis CollectionAuthorsIssue DateCenter / Institution

Newsletter

Latest newsletterPrevious newsletters

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales