TY - GEN
T1 - Ultrasonic guided-wave based system identification for beams
AU - Malik, Muhammad Khalid
AU - Chinchilla, Sergio Cantero
AU - Chronopoulos, Dimitrios
AU - Chiachiao, Juan
AU - Essa, Yasser
PY - 2019
Y1 - 2019
N2 - Structural health monitoring (SHM) usually requires several stages of information, starting from damage detection, localisation, and identification. Ultrasonic guided waves can travel long distances with relatively low attenuation, which enables them to interact with any potential damage present in the structure. This paper focuses on the use of a novel ultrasonic guided wave propagation model in order to provide both damage localisation and identification. The wave propagation model used here is a state of the art method for transient simulation of ultrasonic guided waves in one dimensional structures both isotropic and anisotropic. This is embedded in a framework for generating excitation signals and capturing scattered signals from damage at any point in the structure. The methodology computes the complete transient response at a fraction of computational cost of full finite element (FE) method. Two kind of damages are modelled: (1) a transverse crack and (2) a delamination in composite beams. To address damage identification and quantification, a model based Bayesian inverse problem is formulated so that both damage scenarios are identifiable. The proposed methodology is exemplified in a beam using the case study of a simulated delamination between two layers. The results show that the proposed framework classify and localise the damage accurately.
AB - Structural health monitoring (SHM) usually requires several stages of information, starting from damage detection, localisation, and identification. Ultrasonic guided waves can travel long distances with relatively low attenuation, which enables them to interact with any potential damage present in the structure. This paper focuses on the use of a novel ultrasonic guided wave propagation model in order to provide both damage localisation and identification. The wave propagation model used here is a state of the art method for transient simulation of ultrasonic guided waves in one dimensional structures both isotropic and anisotropic. This is embedded in a framework for generating excitation signals and capturing scattered signals from damage at any point in the structure. The methodology computes the complete transient response at a fraction of computational cost of full finite element (FE) method. Two kind of damages are modelled: (1) a transverse crack and (2) a delamination in composite beams. To address damage identification and quantification, a model based Bayesian inverse problem is formulated so that both damage scenarios are identifiable. The proposed methodology is exemplified in a beam using the case study of a simulated delamination between two layers. The results show that the proposed framework classify and localise the damage accurately.
UR - http://www.scopus.com/inward/record.url?scp=85074298319&partnerID=8YFLogxK
U2 - 10.12783/shm2019/32371
DO - 10.12783/shm2019/32371
M3 - Conference Contribution (Conference Proceeding)
AN - SCOPUS:85074298319
T3 - Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
SP - 2313
EP - 2320
BT - Structural Health Monitoring 2019
A2 - Chang, Fu-Kuo
A2 - Guemes, Alfredo
A2 - Kopsaftopoulos, Fotis
PB - DEStech Publications, Inc.
T2 - 12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019
Y2 - 10 September 2019 through 12 September 2019
ER -