| Adaptive approaches in metamodel-based reliability analysis: A review R Teixeira, M Nogal, A O’Connor Structural Safety 89, 102019, 2021 | 192 | 2021 |
| A fault diagnosis framework for autonomous vehicles with sensor self-diagnosis H Min, Y Fang, X Wu, X Lei, S Chen, R Teixeira, B Zhu, X Zhao, Z Xu Expert Systems with Applications 224, 120002, 2023 | 51 | 2023 |
| Potential sources of sensor data anomalies for autonomous vehicles: An overview from road vehicle safety perspective X Zhao, Y Fang, H Min, X Wu, W Wang, R Teixeira Expert Systems with Applications, 121358, 2023 | 41 | 2023 |
| Stress-cycle fatigue design with Kriging applied to offshore wind turbines R Teixeira, M Nogal, A O’Connor, J Nichols, A Dumas International Journal of Fatigue 125, 454-467, 2019 | 39 | 2019 |
| Analysis of the design of experiments of offshore wind turbine fatigue reliability design with Kriging surfaces R Teixeira, A O’Connor, M Nogal, N Krishnan, J Nichols Procedia Structural Integrity 5, 951-958, 2017 | 39 | 2017 |
| Reliability assessment with density scanned adaptive Kriging R Teixeira, M Nogal, A O’Connor, B Martinez-Pastor Reliability Engineering & System Safety 199, 106908, 2020 | 34 | 2020 |
| Probabilistic sensitivity analysis of offshore wind turbines using a transformed Kullback-Leibler divergence R Teixeira, A O’Connor, M Nogal Structural Safety 81, 101860, 2019 | 28 | 2019 |
| On the suitability of the generalized Pareto to model extreme waves R Teixeira, M Nogal, A O'Connor Journal of Hydraulic Research 56 (6), 755-770, 2018 | 26 | 2018 |
| Reliability analysis using a multi-metamodel complement-basis approach R Teixeira, B Martinez-Pastor, M Nogal, A O’Connor Reliability Engineering & System Safety 205, 107248, 2021 | 24 | 2021 |
| Structural probabilistic assessment of Offshore Wind Turbine operation fatigue based on Kriging interpolation R Teixeira, A O'Connor, M Nogal, J Nichols, M Spring Proceedings of 27th European Safety and Reliability Conference (ESREL 2017 …, 2017 | 18 | 2017 |
| Toward interpretability in fault diagnosis for autonomous vehicles: interpretation of sensor data anomalies Y Fang, H Min, X Wu, X Lei, S Chen, R Teixeira, X Zhao IEEE Sensors Journal 23 (5), 5014-5027, 2023 | 15 | 2023 |
| Flow cytometry and fecal indicator bacteria analyses for fingerprinting microbial pollution in karst aquifer systems L Vucinic, D O’Connell, R Teixeira, C Coxon, L Gill Water Resources Research 58 (5), e2021WR029840, 2022 | 9 | 2022 |
| Transport network resilience: a mapping and sensitivity analysis strategy to improve the decision-making process during extreme weather events B Martinez-Pastor, M Nogal, A O'Connor, R Teixeira International Journal of Critical Infrastructures 17 (4), 330-352, 2021 | 9 | 2021 |
| Optimal design of rail level crossings and associated transition zones using adaptive surrogate-assisted optimization Y Shang, M Nogal, R Teixeira, ARRM Wolfert Engineering Structures 282, 115740, 2023 | 8 | 2023 |
| Identifying critical and vulnerable links: A new approach using the Fisher information matrix B Martinez-Pastor, M Nogal, A O’Connor, R Teixeira International Journal of Critical Infrastructure Protection 39, 100570, 2022 | 8 | 2022 |
| Metamodel-based metaheuristics in optimal responsive adaptation and recovery of traffic networks R Teixeira, B Martinez-Pastor, M Nogal, A O’Connor Sustainable and Resilient Infrastructure 7 (6), 756-774, 2022 | 7 | 2022 |
| Analysis of long‐term loading characterization for stress‐cycle fatigue design R Teixeira, M Nogal, A O'Connor Wind Energy 22 (11), 1563-1580, 2019 | 7 | 2019 |
| Comparative analysis of the probabilistic methods to estimate the probability of failure of offshore wind turbine towers R Teixeira, AJ O'Connor, M Nogal Proc. of Civil Engineering Research in Ireland Conference (CERI 2016), 29-30, 2016 | 6 | 2016 |
| Fatigue reliability using a multiple surface approach R Teixeira, A O'Connor, M Nogal | 5 | 2019 |
| On the calculation of offshore wind turbine load spectra for fatigue design R Teixeira, M Nogal, A O’Connor Mechanical Fatigue of Metals: Experimental and Simulation Perspectives, 383-390, 2019 | 5 | 2019 |
Maria NogalDelft University of Technology (Netherlands)在 tudelft.nl 的电子邮件经过验证
