Abstract
The state monitoring of structures can be realized with use of intelligent techniques like evolutionary or memetic algorithms coupled with direct numerical models. The paper is devoted to a concept of monitoring of structures health with use of the Cyber-Physical System. The system is build on top of intelligent algorithms, sensors and computational hardware resources allowing parallel realization of threads or processes. The hardware resources can be provided by multicore processors, manycore architectures, multiprocessor computers, clusters or computational grid resources. The authors focus on formulation and solution method of inverse problem with use of hybrid optimization algorithm based on global evolutionary and local gradient-based algorithms. The parallel optimization algorithm is described. The presented approach is important for future application especially taking into account current high growth rate of Internet-of-Things applications in structural health monitoring.
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Acknowledgements
This work is partially supported by Faculty of Mechanical Engineering, Silesian University of Technology project 10/990/BK_16/0040. The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.
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Kuś, W., Mucha, W. (2018). Memetic Inverse Problem Solution in Cyber-physical Systems. In: Timofiejczuk, A., Łazarz, B.E., Chaari, F., Burdzik, R. (eds) Advances in Technical Diagnostics. ICTD 2016. Applied Condition Monitoring, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-319-62042-8_30
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DOI: https://doi.org/10.1007/978-3-319-62042-8_30
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