Sapkota, M.S., Apeh, E., Hadfield, M., Haratian, R., Adey, R. and Baynham, J., 2021. An approach for adaptive model performance validation within digital twinning. International Journal of Computational Methods and Experimental Measurements, 9 (3), 213 - 225.
Full text available as:
|
PDF (OPEN ACCESS ARTICLE)
CMEM090303f.pdf - Published Version Available under License Creative Commons Attribution. 1MB | |
Copyright to original material in this document is with the original owner(s). Access to this content through BURO is granted on condition that you use it only for research, scholarly or other non-commercial purposes. If you wish to use it for any other purposes, you must contact BU via BURO@bournemouth.ac.uk. Any third party copyright material in this document remains the property of its respective owner(s). BU grants no licence for further use of that third party material. |
DOI: 10.2495/CMEM-V9-N3-213-225
Abstract
The validation of the operationality of models is considered a crucial step in the model development process. Recent developments in Digital Twinning (DT) enable the online availability of operational data from the physical asset required for operational validation. The benefits of DT in situations where operational validation has formed a basis for model adaptation has also been demonstrated. However, these benefits within DT have not been fully utilized due to the lack of an approach for benchmarking the required quantity, quality and diversity of validation data and performance metrics for online model validation and adaptation. Therefore, there is a need for a framework for benchmarking validation data and metrics requirements during model validation in different domains. An approach for benchmarking the required quantity, quality and variability of validation data and performance metric(s) for online model adaptation within DT is proposed. The approach is focused on addressing the problem of parameter(s) uncertainty of a predictive model within its uncertainty boundary. It involves generating virtual test models, a primary and another reference model for the performance evaluation of one compared to the another with the benchmarked validating data and metrics within DT. This process is repeated until the dataset and/or metric(s) are promising enough to validate primary model against the reference model. The proposed approach is demonstrated using BEASY - a simulator designed to predict protection provided by a cathodic protection system to an asset. In this case, a marine structure is the focus of the study, where the protection potentials to prevent corrosion are predicted over the life of the structure. The algorithm(s) for the approach are provided within a Scientific Software (MATLAB) and integrated to the simulator-based cathodic-protection model.
Item Type: | Article |
---|---|
ISSN: | 2046-0546 |
Uncontrolled Keywords: | Adaptive Simulation Validation, Cathodic-Protection Digital Twin, Validating |
Group: | Faculty of Science & Technology |
ID Code: | 36512 |
Deposited By: | Symplectic RT2 |
Deposited On: | 18 Jan 2022 14:35 |
Last Modified: | 14 Mar 2022 14:32 |
Downloads
Downloads per month over past year
Repository Staff Only - |