Abstract

Fatigue crack growth during the service life of aging aircraft is a critical issue and monitoring of such cracks in structural hotspots is the goal of this research. This paper presents a procedure for classification and detection of cracks generated in bolted joints which are used at numerous locations in aircraft structures. Single lap bolted joints were equipped with surface mounted piezoelectric (pzt) sensors and actuators and were subjected to cyclic loading. Crack length measurements and sensor data were collected at different number of cycles and with different torque levels. A classification algorithm based on Support Vector Machines (SVMs) was used to compare signals from a healthy and damaged joint to classify fatigue damage at the bolts. The algorithm was also used to classify the amount of torque in the bolt of interest and determine if the level of torque affected the quantification and localization of the crack emanating from the bolt hole. The results show that it is easier to detect the completely loose bolt but certain changes in torque, combined with damage, can produce some non-unique classifier solutions.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Volume6532
DOIs
StatePublished - 2007
EventHealth Monitoring of Structural and Biological Systems 2007 - San Diego, CA, United States
Duration: Mar 19 2007Mar 22 2007

Other

OtherHealth Monitoring of Structural and Biological Systems 2007
CountryUnited States
CitySan Diego, CA
Period3/19/073/22/07

Fingerprint

bolted joints
Bolted joints
Bolts
bolts
torque
Torque
cracks
Cracks
Aircraft
Sensors
damage
Fatigue damage
aircraft structures
Fatigue crack propagation
Service life
service life
sensors
Support vector machines
classifiers
Classifiers

Keywords

  • Bolted joint
  • Damage detection
  • Piezoelectric
  • Structural health monitoring
  • Support vector machines

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Coelho, C. K., Das, S., Chattopadhyay, A., Papandreou-Suppappola, A., & Peralta, P. (2007). Detection of fatigue cracks and torque loss in bolted joints. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 6532). [653204] https://doi.org/10.1117/12.715984

Detection of fatigue cracks and torque loss in bolted joints. / Coelho, Clyde K.; Das, Santanu; Chattopadhyay, Aditi; Papandreou-Suppappola, Antonia; Peralta, Pedro.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 6532 2007. 653204.

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

Coelho, CK, Das, S, Chattopadhyay, A, Papandreou-Suppappola, A & Peralta, P 2007, Detection of fatigue cracks and torque loss in bolted joints. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 6532, 653204, Health Monitoring of Structural and Biological Systems 2007, San Diego, CA, United States, 3/19/07. https://doi.org/10.1117/12.715984
Coelho CK, Das S, Chattopadhyay A, Papandreou-Suppappola A, Peralta P. Detection of fatigue cracks and torque loss in bolted joints. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 6532. 2007. 653204 https://doi.org/10.1117/12.715984
Coelho, Clyde K. ; Das, Santanu ; Chattopadhyay, Aditi ; Papandreou-Suppappola, Antonia ; Peralta, Pedro. / Detection of fatigue cracks and torque loss in bolted joints. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 6532 2007.
@inproceedings{0d69849999af45cd9a3f72f4dff150c1,
title = "Detection of fatigue cracks and torque loss in bolted joints",
abstract = "Fatigue crack growth during the service life of aging aircraft is a critical issue and monitoring of such cracks in structural hotspots is the goal of this research. This paper presents a procedure for classification and detection of cracks generated in bolted joints which are used at numerous locations in aircraft structures. Single lap bolted joints were equipped with surface mounted piezoelectric (pzt) sensors and actuators and were subjected to cyclic loading. Crack length measurements and sensor data were collected at different number of cycles and with different torque levels. A classification algorithm based on Support Vector Machines (SVMs) was used to compare signals from a healthy and damaged joint to classify fatigue damage at the bolts. The algorithm was also used to classify the amount of torque in the bolt of interest and determine if the level of torque affected the quantification and localization of the crack emanating from the bolt hole. The results show that it is easier to detect the completely loose bolt but certain changes in torque, combined with damage, can produce some non-unique classifier solutions.",
keywords = "Bolted joint, Damage detection, Piezoelectric, Structural health monitoring, Support vector machines",
author = "Coelho, {Clyde K.} and Santanu Das and Aditi Chattopadhyay and Antonia Papandreou-Suppappola and Pedro Peralta",
year = "2007",
doi = "10.1117/12.715984",
language = "English (US)",
isbn = "0819466530",
volume = "6532",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

}

TY - GEN

T1 - Detection of fatigue cracks and torque loss in bolted joints

AU - Coelho, Clyde K.

AU - Das, Santanu

AU - Chattopadhyay, Aditi

AU - Papandreou-Suppappola, Antonia

AU - Peralta, Pedro

PY - 2007

Y1 - 2007

N2 - Fatigue crack growth during the service life of aging aircraft is a critical issue and monitoring of such cracks in structural hotspots is the goal of this research. This paper presents a procedure for classification and detection of cracks generated in bolted joints which are used at numerous locations in aircraft structures. Single lap bolted joints were equipped with surface mounted piezoelectric (pzt) sensors and actuators and were subjected to cyclic loading. Crack length measurements and sensor data were collected at different number of cycles and with different torque levels. A classification algorithm based on Support Vector Machines (SVMs) was used to compare signals from a healthy and damaged joint to classify fatigue damage at the bolts. The algorithm was also used to classify the amount of torque in the bolt of interest and determine if the level of torque affected the quantification and localization of the crack emanating from the bolt hole. The results show that it is easier to detect the completely loose bolt but certain changes in torque, combined with damage, can produce some non-unique classifier solutions.

AB - Fatigue crack growth during the service life of aging aircraft is a critical issue and monitoring of such cracks in structural hotspots is the goal of this research. This paper presents a procedure for classification and detection of cracks generated in bolted joints which are used at numerous locations in aircraft structures. Single lap bolted joints were equipped with surface mounted piezoelectric (pzt) sensors and actuators and were subjected to cyclic loading. Crack length measurements and sensor data were collected at different number of cycles and with different torque levels. A classification algorithm based on Support Vector Machines (SVMs) was used to compare signals from a healthy and damaged joint to classify fatigue damage at the bolts. The algorithm was also used to classify the amount of torque in the bolt of interest and determine if the level of torque affected the quantification and localization of the crack emanating from the bolt hole. The results show that it is easier to detect the completely loose bolt but certain changes in torque, combined with damage, can produce some non-unique classifier solutions.

KW - Bolted joint

KW - Damage detection

KW - Piezoelectric

KW - Structural health monitoring

KW - Support vector machines

UR - http://www.scopus.com/inward/record.url?scp=35649021687&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=35649021687&partnerID=8YFLogxK

U2 - 10.1117/12.715984

DO - 10.1117/12.715984

M3 - Conference contribution

AN - SCOPUS:35649021687

SN - 0819466530

SN - 9780819466532

VL - 6532

BT - Proceedings of SPIE - The International Society for Optical Engineering

ER -