A statistical approach to investigate temperature effects on guided wave structural health monitoring

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Temperature variations can have significant effects on guide wave propagation, and therefore can increase the detection uncertainty of the structural health monitoring (SHM) system. The effect of this variation has been investigated for detecting impact damage in carbon fiber reinforced composites. Surface instrumented piezoelectric wafers are used in this work to detect the low velocity impact damage in a braided carbon fiber reinforced composite plate over a temperature range of 0 °C to 60 °C. The effects of temperature variation and thermal cycles on guided wave propagations in healthy composite plates are characterized first. The information is then used to develop a compensation algorithm to minimize the thermal effects on detection. A statistical damage detection and quantification approach is developed using and Auto-Regressive with eXogenous (ARX) model and local outlier analysis. The developed methodology is experimentally validated using the pitch-catch guided wave testing approach within the temperature range., ,.

Original languageEnglish (US)
Title of host publicationCollection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
StatePublished - 2012
Event53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference - Honolulu, HI, United States
Duration: Apr 23 2012Apr 26 2012

Other

Other53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
CountryUnited States
CityHonolulu, HI
Period4/23/124/26/12

Fingerprint

Guided electromagnetic wave propagation
Structural health monitoring
Thermal effects
Wave propagation
Carbon fibers
Composite materials
Temperature
Damage detection
Testing
carbon fiber

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering
  • Materials Science(all)
  • Aerospace Engineering
  • Architecture

Cite this

Liu, Y., Yekani Fard, M., & Chattopadhyay, A. (2012). A statistical approach to investigate temperature effects on guided wave structural health monitoring. In Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference [AIAA 2012-1787]

A statistical approach to investigate temperature effects on guided wave structural health monitoring. / Liu, Yingtao; Yekani Fard, Masoud; Chattopadhyay, Aditi.

Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. 2012. AIAA 2012-1787.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Liu, Y, Yekani Fard, M & Chattopadhyay, A 2012, A statistical approach to investigate temperature effects on guided wave structural health monitoring. in Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference., AIAA 2012-1787, 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Honolulu, HI, United States, 4/23/12.
Liu Y, Yekani Fard M, Chattopadhyay A. A statistical approach to investigate temperature effects on guided wave structural health monitoring. In Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. 2012. AIAA 2012-1787
Liu, Yingtao ; Yekani Fard, Masoud ; Chattopadhyay, Aditi. / A statistical approach to investigate temperature effects on guided wave structural health monitoring. Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. 2012.
@inproceedings{d103d026a8aa46f3a01a5d2fba052c71,
title = "A statistical approach to investigate temperature effects on guided wave structural health monitoring",
abstract = "Temperature variations can have significant effects on guide wave propagation, and therefore can increase the detection uncertainty of the structural health monitoring (SHM) system. The effect of this variation has been investigated for detecting impact damage in carbon fiber reinforced composites. Surface instrumented piezoelectric wafers are used in this work to detect the low velocity impact damage in a braided carbon fiber reinforced composite plate over a temperature range of 0 °C to 60 °C. The effects of temperature variation and thermal cycles on guided wave propagations in healthy composite plates are characterized first. The information is then used to develop a compensation algorithm to minimize the thermal effects on detection. A statistical damage detection and quantification approach is developed using and Auto-Regressive with eXogenous (ARX) model and local outlier analysis. The developed methodology is experimentally validated using the pitch-catch guided wave testing approach within the temperature range., ,.",
author = "Yingtao Liu and {Yekani Fard}, Masoud and Aditi Chattopadhyay",
year = "2012",
language = "English (US)",
isbn = "9781600869372",
booktitle = "Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference",

}

TY - GEN

T1 - A statistical approach to investigate temperature effects on guided wave structural health monitoring

AU - Liu, Yingtao

AU - Yekani Fard, Masoud

AU - Chattopadhyay, Aditi

PY - 2012

Y1 - 2012

N2 - Temperature variations can have significant effects on guide wave propagation, and therefore can increase the detection uncertainty of the structural health monitoring (SHM) system. The effect of this variation has been investigated for detecting impact damage in carbon fiber reinforced composites. Surface instrumented piezoelectric wafers are used in this work to detect the low velocity impact damage in a braided carbon fiber reinforced composite plate over a temperature range of 0 °C to 60 °C. The effects of temperature variation and thermal cycles on guided wave propagations in healthy composite plates are characterized first. The information is then used to develop a compensation algorithm to minimize the thermal effects on detection. A statistical damage detection and quantification approach is developed using and Auto-Regressive with eXogenous (ARX) model and local outlier analysis. The developed methodology is experimentally validated using the pitch-catch guided wave testing approach within the temperature range., ,.

AB - Temperature variations can have significant effects on guide wave propagation, and therefore can increase the detection uncertainty of the structural health monitoring (SHM) system. The effect of this variation has been investigated for detecting impact damage in carbon fiber reinforced composites. Surface instrumented piezoelectric wafers are used in this work to detect the low velocity impact damage in a braided carbon fiber reinforced composite plate over a temperature range of 0 °C to 60 °C. The effects of temperature variation and thermal cycles on guided wave propagations in healthy composite plates are characterized first. The information is then used to develop a compensation algorithm to minimize the thermal effects on detection. A statistical damage detection and quantification approach is developed using and Auto-Regressive with eXogenous (ARX) model and local outlier analysis. The developed methodology is experimentally validated using the pitch-catch guided wave testing approach within the temperature range., ,.

UR - http://www.scopus.com/inward/record.url?scp=84881472021&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84881472021&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84881472021

SN - 9781600869372

BT - Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference

ER -