Impact localization on a composite tail rotor blade using an inverse filtering approach

F. Ciampa, M. Meo

Research output: Contribution to journalArticle

16 Citations (Scopus)
57 Downloads (Pure)

Abstract

This article presents an in situ structural health monitoring imaging system for the localization of impacts on a composite complex structure such as a tail rotor blade. Unlike conventional plate-like panels, this composite structure presents a strong anisotropy and inhomogeneous elastic nature due to the presence of both glass fibre and carbon fibre, a geometrically complex shape due to the curvature of the blade's airfoil section and variations in the mechanical behaviour due to local changes in the thickness. The proposed imaging technique is based on the inverse filtering or reciprocal time reversal approach applied to the waveforms originated from a point of the structure of unknown location (impact source) and a number of signals stored in a database containing the experimental Green's function of the medium. Unlike other ultrasonic impact localization methods, the present technique allows achieving the optimal focalization of the impact point in the spatial and time domain, by taking advantage of multiple linear scattering and a small number of receiver sensors.
Original languageEnglish
Pages (from-to)1950-1958
Number of pages9
JournalJournal of Intelligent Material Systems and Structures
Volume25
Issue number15
Early online date9 Dec 2013
DOIs
Publication statusPublished - 1 Oct 2014

Fingerprint

Structural health monitoring
Composite structures
Airfoils
Green's function
Imaging systems
Glass fibers
Turbomachine blades
Carbon fibers
Anisotropy
Rotors
Ultrasonics
Scattering
Imaging techniques
Sensors
Composite materials
carbon fiber
fiberglass

Keywords

  • Structural health monitoring
  • active composites
  • morphing
  • piezoelectric
  • embedded intelligence

Cite this

Impact localization on a composite tail rotor blade using an inverse filtering approach. / Ciampa, F.; Meo, M.

In: Journal of Intelligent Material Systems and Structures, Vol. 25, No. 15, 01.10.2014, p. 1950-1958.

Research output: Contribution to journalArticle

@article{f908acc61b1844a887c6e382d88be440,
title = "Impact localization on a composite tail rotor blade using an inverse filtering approach",
abstract = "This article presents an in situ structural health monitoring imaging system for the localization of impacts on a composite complex structure such as a tail rotor blade. Unlike conventional plate-like panels, this composite structure presents a strong anisotropy and inhomogeneous elastic nature due to the presence of both glass fibre and carbon fibre, a geometrically complex shape due to the curvature of the blade's airfoil section and variations in the mechanical behaviour due to local changes in the thickness. The proposed imaging technique is based on the inverse filtering or reciprocal time reversal approach applied to the waveforms originated from a point of the structure of unknown location (impact source) and a number of signals stored in a database containing the experimental Green's function of the medium. Unlike other ultrasonic impact localization methods, the present technique allows achieving the optimal focalization of the impact point in the spatial and time domain, by taking advantage of multiple linear scattering and a small number of receiver sensors.",
keywords = "Structural health monitoring, active composites, morphing, piezoelectric, embedded intelligence",
author = "F. Ciampa and M. Meo",
year = "2014",
month = "10",
day = "1",
doi = "10.1177/1045389X13512904",
language = "English",
volume = "25",
pages = "1950--1958",
journal = "Journal of Intelligent Material Systems and Structures",
issn = "1045-389X",
publisher = "Sage Publications",
number = "15",

}

TY - JOUR

T1 - Impact localization on a composite tail rotor blade using an inverse filtering approach

AU - Ciampa, F.

AU - Meo, M.

PY - 2014/10/1

Y1 - 2014/10/1

N2 - This article presents an in situ structural health monitoring imaging system for the localization of impacts on a composite complex structure such as a tail rotor blade. Unlike conventional plate-like panels, this composite structure presents a strong anisotropy and inhomogeneous elastic nature due to the presence of both glass fibre and carbon fibre, a geometrically complex shape due to the curvature of the blade's airfoil section and variations in the mechanical behaviour due to local changes in the thickness. The proposed imaging technique is based on the inverse filtering or reciprocal time reversal approach applied to the waveforms originated from a point of the structure of unknown location (impact source) and a number of signals stored in a database containing the experimental Green's function of the medium. Unlike other ultrasonic impact localization methods, the present technique allows achieving the optimal focalization of the impact point in the spatial and time domain, by taking advantage of multiple linear scattering and a small number of receiver sensors.

AB - This article presents an in situ structural health monitoring imaging system for the localization of impacts on a composite complex structure such as a tail rotor blade. Unlike conventional plate-like panels, this composite structure presents a strong anisotropy and inhomogeneous elastic nature due to the presence of both glass fibre and carbon fibre, a geometrically complex shape due to the curvature of the blade's airfoil section and variations in the mechanical behaviour due to local changes in the thickness. The proposed imaging technique is based on the inverse filtering or reciprocal time reversal approach applied to the waveforms originated from a point of the structure of unknown location (impact source) and a number of signals stored in a database containing the experimental Green's function of the medium. Unlike other ultrasonic impact localization methods, the present technique allows achieving the optimal focalization of the impact point in the spatial and time domain, by taking advantage of multiple linear scattering and a small number of receiver sensors.

KW - Structural health monitoring

KW - active composites

KW - morphing

KW - piezoelectric

KW - embedded intelligence

U2 - 10.1177/1045389X13512904

DO - 10.1177/1045389X13512904

M3 - Article

VL - 25

SP - 1950

EP - 1958

JO - Journal of Intelligent Material Systems and Structures

JF - Journal of Intelligent Material Systems and Structures

SN - 1045-389X

IS - 15

ER -