A new algorithm for acoustic emission localization and flexural group velocity determination in anisotropic structures

Francesco Ciampa, Michele Meo

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103 Citations (Scopus)

Abstract

This paper presents a new in situ Structural Health Monitoring (SHM) system able to identify the location of acoustic emission (AE) sources due to low-velocity impacts and to determine the group velocity in complex composite structures with unknown lay-up and thickness The proposed algorithm is based on the differences of stress waves measured by six piezoelectric sensors surface bonded The magnitude of the Continuous Wavelet Transform (CWT) squared modulus was employed for the identification of the time of arrivals (TOA) of the flexural Lamb mode (A(o)) Then the coordinates of the impact location and the flexural wave velocity were obtained by solving a set of non-linear equations through a combination of global Line Search and backtracking techniques associated to a local Newton s iterative method To validate this algorithm experimental tests were conducted on two different composite structures a quasi-isotropic CFRP and a sandwich panel The results showed that the impact source location and the group speed were predicted with reasonable accuracy (maximum error in estimation of the impact location was approximately 2% for quasi-isotropic CFRP panel and nearly 1% for sandwich plate) requiring little computational time (less than 2 s)
Original languageEnglish
Pages (from-to)1777-1786
Number of pages10
JournalComposites Part A Applied Science and Manufacturing
Volume41
Issue number12
DOIs
Publication statusPublished - 2010

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Acoustic emissions
Carbon fiber reinforced plastics
Composite structures
Structural health monitoring
Elastic waves
Iterative methods
Nonlinear equations
Wavelet transforms
Identification (control systems)
Sensors
carbon fiber reinforced plastic

Cite this

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title = "A new algorithm for acoustic emission localization and flexural group velocity determination in anisotropic structures",
abstract = "This paper presents a new in situ Structural Health Monitoring (SHM) system able to identify the location of acoustic emission (AE) sources due to low-velocity impacts and to determine the group velocity in complex composite structures with unknown lay-up and thickness The proposed algorithm is based on the differences of stress waves measured by six piezoelectric sensors surface bonded The magnitude of the Continuous Wavelet Transform (CWT) squared modulus was employed for the identification of the time of arrivals (TOA) of the flexural Lamb mode (A(o)) Then the coordinates of the impact location and the flexural wave velocity were obtained by solving a set of non-linear equations through a combination of global Line Search and backtracking techniques associated to a local Newton s iterative method To validate this algorithm experimental tests were conducted on two different composite structures a quasi-isotropic CFRP and a sandwich panel The results showed that the impact source location and the group speed were predicted with reasonable accuracy (maximum error in estimation of the impact location was approximately 2{\%} for quasi-isotropic CFRP panel and nearly 1{\%} for sandwich plate) requiring little computational time (less than 2 s)",
author = "Francesco Ciampa and Michele Meo",
year = "2010",
doi = "10.1016/j.compositesa.2010.08.013",
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T1 - A new algorithm for acoustic emission localization and flexural group velocity determination in anisotropic structures

AU - Ciampa, Francesco

AU - Meo, Michele

PY - 2010

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N2 - This paper presents a new in situ Structural Health Monitoring (SHM) system able to identify the location of acoustic emission (AE) sources due to low-velocity impacts and to determine the group velocity in complex composite structures with unknown lay-up and thickness The proposed algorithm is based on the differences of stress waves measured by six piezoelectric sensors surface bonded The magnitude of the Continuous Wavelet Transform (CWT) squared modulus was employed for the identification of the time of arrivals (TOA) of the flexural Lamb mode (A(o)) Then the coordinates of the impact location and the flexural wave velocity were obtained by solving a set of non-linear equations through a combination of global Line Search and backtracking techniques associated to a local Newton s iterative method To validate this algorithm experimental tests were conducted on two different composite structures a quasi-isotropic CFRP and a sandwich panel The results showed that the impact source location and the group speed were predicted with reasonable accuracy (maximum error in estimation of the impact location was approximately 2% for quasi-isotropic CFRP panel and nearly 1% for sandwich plate) requiring little computational time (less than 2 s)

AB - This paper presents a new in situ Structural Health Monitoring (SHM) system able to identify the location of acoustic emission (AE) sources due to low-velocity impacts and to determine the group velocity in complex composite structures with unknown lay-up and thickness The proposed algorithm is based on the differences of stress waves measured by six piezoelectric sensors surface bonded The magnitude of the Continuous Wavelet Transform (CWT) squared modulus was employed for the identification of the time of arrivals (TOA) of the flexural Lamb mode (A(o)) Then the coordinates of the impact location and the flexural wave velocity were obtained by solving a set of non-linear equations through a combination of global Line Search and backtracking techniques associated to a local Newton s iterative method To validate this algorithm experimental tests were conducted on two different composite structures a quasi-isotropic CFRP and a sandwich panel The results showed that the impact source location and the group speed were predicted with reasonable accuracy (maximum error in estimation of the impact location was approximately 2% for quasi-isotropic CFRP panel and nearly 1% for sandwich plate) requiring little computational time (less than 2 s)

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