Imperial College London
Alternate

ProfessorZahraSharif Khodaei

Faculty of Engineering, Department of Aeronautics

Professor in AerospaceStructural Durability&HealthMonitoring
 
 
 
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Contact

 

+44 (0)20 7594 5116z.sharif-khodaei

 
 
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Location

 

329City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Giannakeas:2022:10.1016/j.ymssp.2021.108150,
author = {Giannakeas, IN and Khodaei, ZS and Aliabadi, MH},
doi = {10.1016/j.ymssp.2021.108150},
journal = {Mechanical Systems and Signal Processing},
pages = {1--20},
title = {Digital clone testing platform for the assessment of SHM systems under uncertainty},
url = {http://dx.doi.org/10.1016/j.ymssp.2021.108150},
volume = {163},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The performance of a Structural Health Monitoring (SHM) system can be assessed using Probability of Detection (PoD) curves, which is a common tool for the evaluation of Non-Destructive Testing (NDT) methods. This study presents a novel digital clone platform to quantify and account for uncertainties that can be detrimental to the reliability of a SHM system. Uncertainties relating to experimental measurement noise and Environmental and Operational Conditions (EOC) are considered during the definition of a threshold value that aims at reliably distinguishing between pristine and damaged signals. At the same time, the variability of impact damage characteristics and uncertainties associated with Lamb waves interaction in composites are captured though the Bayesian calibration of a Finite Element (FE) model using experimental observations. The FE model is integrated within the digital clone testing platform to substitute the experimental testing and generate a statistical sample of distributed impact events at different locations on a composite plate and compute the Model Assisted Probability of Detection (MAPOD). This approach allows the estimation of the system’s performance under different EOC that can be used during the selection and operation of a specific SHM configuration.
AU  - Giannakeas,IN
AU  - Khodaei,ZS
AU  - Aliabadi,MH
DO  - 10.1016/j.ymssp.2021.108150
EP  - 20
PY  - 2022///
SN  - 0888-3270
SP  - 1
TI  - Digital clone testing platform for the assessment of SHM systems under uncertainty
T2  - Mechanical Systems and Signal Processing
UR  - http://dx.doi.org/10.1016/j.ymssp.2021.108150
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000697476500003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://www.sciencedirect.com/science/article/pii/S0888327021005306?via%3Dihub
UR  - http://hdl.handle.net/10044/1/92979
VL  - 163
ER  -
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