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 publication53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 2012
StatePublished - 2012
Event53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 2012 - Honolulu, HI, United States
Duration: Apr 23 2012Apr 26 2012

Other

Other53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 2012
CountryUnited States
CityHonolulu, HI
Period4/23/124/26/12

Fingerprint

Guided electromagnetic wave propagation
structural health monitoring
Structural health monitoring
Thermal effects
temperature effects
impact damage
carbon fibers
Wave propagation
Carbon fibers
composite materials
wave propagation
Composite materials
Temperature
temperature
Damage detection
low speed
wafers
methodology
damage
cycles

ASJC Scopus subject areas

  • Aerospace Engineering
  • Mechanical Engineering
  • Materials Science(all)
  • Surfaces and Interfaces

Cite this

Liu, Y., Yekani Fard, M., & Chattopadhyay, A. (2012). A statistical approach to investigate temperature effects on guided wave structural health monitoring. In 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 2012

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

53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 2012. 2012.

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 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 2012. 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 2012, 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 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 2012. 2012
Liu, Yingtao ; Yekani Fard, Masoud ; Chattopadhyay, Aditi. / A statistical approach to investigate temperature effects on guided wave structural health monitoring. 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 2012. 2012.
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