TY - GEN
T1 - Integrated non-destructive testing approach for damage detection and quantification in structural components
AU - Vanniamparambil, Prashanth A.
AU - Khan, Fuad
AU - Carmi, Rami
AU - Rajaram, Satish
AU - Schwartz, Eric
AU - Kontsos, Antonios
AU - Bartoli, Ivan
PY - 2013/6/10
Y1 - 2013/6/10
N2 - Reliable damage detection and quantification is a difficult process because of its dynamic and multi-scale nature, which combined with material complexities and countless other sources of uncertainty often inhibits a single non-destructive testing (NDT) technique to successfully evaluate the extension of deterioration in critical structural components. This paper presents an integrated non-destructive testing approach (INDT) for effective damage identification relying on the intelligent integration of the Acoustic Emission (AE), Guided Ultrasonic Waves (GUW) and Digital Image Correlation (DIC) methods. The proposed system has been utilized to identify wire breaks in seven-wire steel strands and crack initiation and development in masonry concrete walls and is based on the cross-correlation of heterogeneous damage-related NDT features. Conventional AE monitoring relies on damage monitoring by evaluating multiple extracted and/or computed features as a function of load/time. In addition, advanced post-processing methods including mathematical algorithms for statistical analysis and classification have been suggested to improve the robustness of AE in damage identification. Unfortunately, such approaches are often found to be unsuccessful, due to challenging environmental and operational conditions, as well as when used on actual civil structural components, such as bridge cables and masonry walls. This paper presents the framework for successful correlation of AE features with GUW and mechanical parameters such as full field strain maps, which can provide a route towards actual cross-validated damage assessment, capable to detect the initiation and track the development of damage in structures. The presented INDT approach could lead to reliable damage identification approaches in mechanical, aerospace and civil infrastructure applications.
AB - Reliable damage detection and quantification is a difficult process because of its dynamic and multi-scale nature, which combined with material complexities and countless other sources of uncertainty often inhibits a single non-destructive testing (NDT) technique to successfully evaluate the extension of deterioration in critical structural components. This paper presents an integrated non-destructive testing approach (INDT) for effective damage identification relying on the intelligent integration of the Acoustic Emission (AE), Guided Ultrasonic Waves (GUW) and Digital Image Correlation (DIC) methods. The proposed system has been utilized to identify wire breaks in seven-wire steel strands and crack initiation and development in masonry concrete walls and is based on the cross-correlation of heterogeneous damage-related NDT features. Conventional AE monitoring relies on damage monitoring by evaluating multiple extracted and/or computed features as a function of load/time. In addition, advanced post-processing methods including mathematical algorithms for statistical analysis and classification have been suggested to improve the robustness of AE in damage identification. Unfortunately, such approaches are often found to be unsuccessful, due to challenging environmental and operational conditions, as well as when used on actual civil structural components, such as bridge cables and masonry walls. This paper presents the framework for successful correlation of AE features with GUW and mechanical parameters such as full field strain maps, which can provide a route towards actual cross-validated damage assessment, capable to detect the initiation and track the development of damage in structures. The presented INDT approach could lead to reliable damage identification approaches in mechanical, aerospace and civil infrastructure applications.
KW - Acoustic emission
KW - Civil infrastructures
KW - Digital image correlation
KW - Guided ultrasonic waves
KW - Non-destructive testing
UR - http://www.scopus.com/inward/record.url?scp=84878536348&partnerID=8YFLogxK
U2 - 10.1117/12.2009489
DO - 10.1117/12.2009489
M3 - Conference contribution
AN - SCOPUS:84878536348
SN - 9780819494788
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Health Monitoring of Structural and Biological Systems 2013
T2 - SPIE Conference on Health Monitoring of Structural and Biological Systems 2013
Y2 - 11 March 2013 through 14 March 2013
ER -