Uncertainty Management

People:

Relevant publications:
  • Jiménez Rios, A., Plevris, V., & Nogal, M. (2023). Uncertainties in the synthetic data generation for the creation of bridge digital twins. In Proceedings of the 5th International Conference on Uncertainty Quantification in Computational Science and Engineering Held in Athens, Greece 12-14 June 2023. Eccomas Proceedia. DOI: https://doi.org/10.7712/120223.10323.20020
  • Nogal, M., & Nogal, A. (2021). Sensitivity method for extreme-based engineering problems. Reliability Engineering & System Safety, 216, 107997. DOI: https://doi.org/10.1016/j.ress.2021.107997
  • Teixeira, R., Nogal, M., & O’Connor, A. (2021). Adaptive approaches in metamodel-based reliability analysis: A review. Structural Safety, 89, 102019. DOI: https://doi.org/10.1016/j.strusafe.2020.102019
  • Peng, T., Nogal, M., Casas, J. R., & Turmo, J. (2021). Role of sensors in error propagation with the dynamic constrained observability method. Sensors, 21(9), 2918. DOI: https://doi.org/10.3390/s21092918
  • Teixeira, R., Martinez-Pastor, B., Nogal, M., & O’Connor, A. (2021). Reliability analysis using a multi-metamodel complement-basis approach. Reliability Engineering & System Safety, 205, 107248. DOI: https://doi.org/10.1016/j.ress.2020.107248
  • Teixeira, R., Nogal, M., O’Connor, A., & Martinez-Pastor, B. (2020). Reliability assessment with density scanned adaptive Kriging. Reliability Engineering & System Safety, 199, 106908. DOI: https://doi.org/10.1016/j.ress.2020.106908
  • Teixeira, R., O’Connor, A., & Nogal, M. (2019). Probabilistic sensitivity analysis of offshore wind turbines using a transformed kullback-leibler divergence. Structural Safety, 81, 101860. DOI: https://doi.org/10.1016/j.strusafe.2019.03.007
  • Teixeira, R., Nogal, M., O’Connor, A., Nichols, J., & Dumas, A. (2019). Stress-cycle fatigue design with Kriging applied to offshore wind turbines. International Journal of Fatigue, 125, 454-467. DOI: https://doi.org/10.1016/j.ijfatigue.2019.04.012
  • Teixeira, R., O’Connor, A., & Nogal, M. (2019). Adaptive kriging with biased randomisation for reliability analysis of complex limit state functions. In 17th International Probabilistic Workshop (IPW2019). [Download]
  • Teixeira, R., Nogal, M., & O'Connor, A. (2018). On the suitability of the generalized Pareto to model extreme waves. Journal of Hydraulic Research, 56(6), 755-770. DOI: https://doi.org/10.1080/00221686.2017.1402829
  • Teixeira, R., O'Connor, A., & Nogal, M. (2018). Surrogate infill criteria for operational fatigue reliability analysis. In Life Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision (pp. 1939-1946). CRC Press. [Download]

Projects:

FOURIER

InnOvative ArtiFicial IntelligencE methodologIes for monitoRing and maintaining large-scale complex infrastrUctures and obtaining greener, more Resilient and smart societies (HORIZON-MSCA-2022).

APRIORI

Active PRoduct-to-Process LearnIng fOR Improving Critical Components Performance (HORIZON-MSCA-2021).

REGENERATE

Reliable nExt GENERation Actuation sysTEms (NWO Next Generation High-Tech Equipment).