Dr Matt Bonney

Uchafbwyntiau Ymchwil

1. Bonney, M., Bonney, M., Angelis, M., Borgo, M., Andrade, L., Beregi, S., Jamia, N., & Wagg, D. (2022). Development of a digital twin operational platform using Python Flask. Data-Centric Engineering, 3

   https://doi.org/10.1017/dce.2022.1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60730
2. Bonney, M., Evans, R., Rouse, J., Jones, A., Kerfriden, P., & Hamadi, M. (2021). Goal oriented error estimation in multi-scale shell element finite element problems. Advanced Modeling and Simulation in Engineering Sciences, 8(1)

   https://doi.org/10.1186/s40323-021-00189-2, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65025

   http://dx.doi.org/10.1186/s40323-021-00189-2
3. Jamia, N., Bonney, M., Jalali, H., Friswell, M., Haddad Khodaparast, H., & Mills, R. (2023). Experimental Investigation on Frictional Interfaces of a Bolted Flange System. In Nonlinear Structures and Systems (pp. 185-188). Springer Nature Switzerland.

   https://doi.org/10.1007/978-3-031-36999-5_23, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65026
4. Bonney, M., Angelis, M., Borgo, M., & Wagg, D. (2023). Contextualisation of information in digital twin processes. Mechanical Systems and Signal Processing, 184, 109657

   https://doi.org/10.1016/j.ymssp.2022.109657, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65027

   http://dx.doi.org/10.1016/j.ymssp.2022.109657
5. Wang, R. & Bonney, M. (2012). Novel Data Acquisition Utilising a Flask Python Digital Twin Operational Platform. In Special Topics in Structural Dynamics and Experimental Techniques (pp. 7-13). Springer International Publishing.

   https://doi.org/10.1007/978-3-031-05405-1_2, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65029
6. Bonney, M., Vizzaccaro, A., & Wagg, D. (2023). Preface to special issue on ‘Digital twin applications’. Mechanical Systems and Signal Processing, 186, 109882

   https://doi.org/10.1016/j.ymssp.2022.109882, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65030

   http://dx.doi.org/10.1016/j.ymssp.2022.109882
7. Bonney, M. & Wagg, D. (2022). Temperature Variation Modelling of an Assembled Three-Storey Structure. In Conference Proceedings of the Society for Experimental Mechanics Series (pp. 23-31). Springer International Publishing.

   https://doi.org/10.1007/978-3-031-05449-5_3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65031
8. Bonney, M. & Wagg, D. (2021). Historical Perspective of the Development of Digital Twins. In Special Topics in Structural Dynamics and Experimental Techniques (pp. 15-20). Springer International Publishing.

   https://doi.org/10.1007/978-3-030-75914-8_2, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65032
9. Bonney, M., Gardner, P., Wagg, D., & Mills, R. (2021). Case study of connectivity of digital twins and experimental systems. In Proceedings of the 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2015)Institute of Structural Analysis and Antiseismic Research National Technical University of Athens.

   https://doi.org/10.7712/120121.8569.19285, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65033
10. Bonney, M., Angelis, M., Wagg, D., & Borgo, M. (2021). Digital Twin Operational Platform for Connectivity and Accessibility using Flask Python. In 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)IEEE.

    https://doi.org/10.1109/models-c53483.2021.00042, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65034
11. Bonney, M., Evans, R., Rouse, J., Jones, A., & Hamadi, M. (2020). Bayesian Reconstruction of Goal Orientated Error Fields in Large Aerospace Finite Element Models. In AerospaceEurope Conference 2020 (AEC2020)

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65035
12. Bonney, M. & Zabiégo, M. (2020). Dynamic modeling of reactivity control systems for scram reliability assessment in fast reactors under seismic conditions. Nuclear Engineering and Design, 361, 110546

    https://doi.org/10.1016/j.nucengdes.2020.110546, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65036

    http://dx.doi.org/10.1016/j.nucengdes.2020.110546
13. Bonney, M. & Zabiégo, M. (2020). Implementation and Comparison of Contact Models Within PIRAT for Nuclear Reactivity Control Systems. Journal of Vibration and Acoustics, 142(5)

    https://doi.org/10.1115/1.4046955, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65037

    http://dx.doi.org/10.1115/1.4046955
14. Bonney, M. & Zabiégo, M. (2019). PIRAT - An Analytical Tool for Insertion Reliability Assessment of Reactivity Control Systems - Progress and Applications to Sodium Fast Reactors. In ICAPP 2019 – International Congress on Advances in Nuclear Power Plants

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65038
15. Bonney, M. & Brake, M. (2017). A Practical Application of a Maximum Entropy, Non-parametric Approach to Account for Epistemic Uncertainty Using Random Matrices. The Mechanics of Jointed Structures (pp. 605-626). Springer International Publishing

    https://doi.org/10.1007/978-3-319-56818-8_34, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65039
16. Bonney, M. & Kammer, D. (2017). Parameterization of Large Variability Using the Hyper-Dual Meta-model. In Model Validation and Uncertainty Quantification (pp. 189-208). Springer International Publishing.

    https://doi.org/10.1007/978-3-319-54858-6_20, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65040
17. Robertson, B., Bonney, M., Gastaldi, C., & Brake, M. (2015). Quantifying Epistemic and Aleatoric Uncertainty in the Ampair 600 Wind Turbine. In Dynamics of Coupled Structures (pp. 125-138). Springer International Publishing.

    https://doi.org/10.1007/978-3-319-15209-7_12, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65041
18. Bonney, M. & Zabiego, M. (2018). Validation of pirat, a novel tool for beam-like structures subject to seismic induced misalignment of guiding sleeves. In ISMA2018 - International Conference on Noise and Vibration Engineering

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65042
19. Romero, V., Bonney, M., Schroeder, B., Winokur, J., Dempsey, J., Orient, G., Breivik, N., Antoun, B., & Lewis, J. (2017). Evaluation of Uncertainty Treatments for Sparse Samples of Random Variables and Functions.. In Proposed for presentation at the 2017 ASME Verification and Validation Symposium held May 3-5, 2017 in Las Vegas, NV.

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65043
20. Bonney, M. (2017). Uncertainty Quantification in Dynamical System Design Using Reduced Order Models

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65045
21. Bonney, M., Kammer, D., & Brake, M. (2016). Determining Model Form Uncertainty of Reduced Order Models. In Model Validation and Uncertainty Quantification (pp. 51-57). Springer International Publishing.

    https://doi.org/10.1007/978-3-319-29754-5_5, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65046
22. Bonney, M., Robertson, B., Mignolet, M., Schempp, F., & Brake, M. (2016). Experimental Determination of Frictional Interface Models. In Dynamics of Coupled Structures (pp. 473-490). Springer International Publishing.

    https://doi.org/10.1007/978-3-319-29763-7_47, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65047
23. Kammer, D. & Bonney, M. (2015). Improved Estimation of Frequency Response Covariance. In Model Validation and Uncertainty Quantification (pp. 311-320). Springer International Publishing.

    https://doi.org/10.1007/978-3-319-15224-0_33, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65050
24. Bonney, M., Gastaldi, C., Robertson, B., & Brake, M. (2014). Decoupling Aleatoric and Epistemic Uncertainty.. In ASME 2014 IDETC

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65052

    https://www.osti.gov/biblio/1497805
25. Bonney, M. & Brake, M. (2014). Utilizing Soize's Approach to Identify Parameter and Model Uncertainties

    https://doi.org/10.2172/1322274, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65053

Holl Ymchwil