A Bayesian framework of inverse uncertainty quantification with principal component analysis and Kriging for the reliability analysis of passive safety systems
- DOI
- 10.1016/j.nucengdes.2021.111230
- Published
- 2021-08
- Container
- Nuclear Engineering and Design
- Publisher
- Not recorded
- Open access
- no
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BibTeX
@article{allodium:10.1016/j.nucengdes.2021.111230,
title = {A Bayesian framework of inverse uncertainty quantification with principal component analysis and Kriging for the reliability analysis of passive safety systems},
author = {Giovanni Roma and Francesco Di Maio and Andrea Bersano and Nicola Pedroni and Cristina Bertani and Fulvio Mascari and Enrico Zio},
year = {2021},
journal = {Nuclear Engineering and Design},
doi = {10.1016/j.nucengdes.2021.111230},
url = {https://doi.org/10.1016/j.nucengdes.2021.111230}
}RIS
TY - JOUR TI - A Bayesian framework of inverse uncertainty quantification with principal component analysis and Kriging for the reliability analysis of passive safety systems AU - Giovanni Roma AU - Francesco Di Maio AU - Andrea Bersano AU - Nicola Pedroni AU - Cristina Bertani AU - Fulvio Mascari AU - Enrico Zio PY - 2021 JO - Nuclear Engineering and Design DO - 10.1016/j.nucengdes.2021.111230 UR - https://doi.org/10.1016/j.nucengdes.2021.111230 ER -
APA
Roma, G., Maio, F. D., Bersano, A., Pedroni, N., Bertani, C., Mascari, F., & Zio, E. (2021). A Bayesian framework of inverse uncertainty quantification with principal component analysis and Kriging for the reliability analysis of passive safety systems. Nuclear Engineering and Design. https://doi.org/10.1016/j.nucengdes.2021.111230
Source records
- hal · retrieved 2026-09-27T14:03:19.297Z