Abstract
Experimental modal analysis is commonly associated with the use of simulation models for validation, correlation and model updating. However, this interaction between simulation and test is constantly evolving, not in the least because it can be applied to model-based design engineering in the broad sense. Over time, new simulation methods have emerged and consequently, new approaches combining experimental and numerical methodologies are needed and possible. Model Based System Testing (MBST) is an innovative paradigm that allows to structure this process and, in particular, to investigate how the well-established modal testing and analysis procedures and ways of working can be adopted to the multiphysical nature of mechatronic systems. As a result, many possibilities arise: test data can be used to validate multiphysical models, models help gaining insights into test conditions, hybrid approaches allow combining testing and simulation on hardware-in-the-loop and system-in-the-loop test benches, where physical systems can be combined with simulation models to apply loads and more realistic test conditions, as well as the use of data coming from feedback control system information for testing purposes. In this paper, the context and concepts of MBST will be introduced, and application examples will be shown, highlighting the advantages of such a methodology.
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dos Santos, F.L.M. et al. (2016). Model Based System Testing: Bringing Testing and Simulation Close Together. In: Wicks, A., Niezrecki, C. (eds) Structural Health Monitoring, Damage Detection & Mechatronics, Volume 7. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-29956-3_10
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DOI: https://doi.org/10.1007/978-3-319-29956-3_10
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