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Hübler C. Stochastic sensitivity analysis: determination of the best approximation of Sobol’ sensitivity indices. in Desmet W, Pluymers B, Moens D, Vandemaele S, Hrsg., Proceedings of ISMA 2020 - International Conference on Noise and Vibration Engineering and USD 2020 - International Conference on Uncertainty in Structural Dynamics. KU Leuven - Departement Werktuigkunde. 2020. S. 3719-3733
Noppe N, Hübler C, Devriendt C, Weijtjens W. Validated extrapolation of measured damage within an offshore wind farm using instrumented fleet leaders. Journal of Physics: Conference Series. 2020;1618(2):022005. doi: 10.1088/1742-6596/1618/2/022005
Bruns M, Hofmeister B, Hübler C, Rolfes R. Damage localization via model updating using a damage distribution function. in Chang F-K, Guemes A, Kopsaftopoulos F, Hrsg., Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring. DEStech Publications Inc. 2019. S. 909-917 doi: 10.12783/shm2019/32202
Hörmeyer J, Hübler C, Bohne T, Rolfes R. Prediction of atmospheric sound propagation subject to parameter variability of atmospheric turbulence. in Ochmann M, Michael V, Fels J, Hrsg., Proceedings of the 23rd International Congress on Acoustics: Integrating 4th EAA Euroregio 2019. International Commission for Acoustics (ICA). 2019. S. 3818-3825. (Proceedings of the International Congress on Acoustics). doi: 10.18154/RWTH-CONV-239815
Hübler C, Gebhardt CG, Rolfes R. Assessment of sensitivity analysis methods of different complexity for offshore wind turbines. in Beer M, Zio E, Hrsg., Proceedings of the 29th European Safety and Reliability Conference (ESREL): 22-26 September 2019, Hannover, Germany. Europe: Research Publishing Services, Singapore. 2019. S. 3144-3151. (Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019). doi: 10.3850/978-981-11-2724-3_0140-cd
Hübler CJ. Efficient probabilistic analysis of offshore wind turbines based on time-domain simulations. Leibniz Universität Hannover, 2019. 179 S. doi: 10.15488/4822
Hübler C, Weijtjens W, Gebhardt CG, Rolfes R, Devriendt C. Validation of Improved Sampling Concepts for Offshore Wind Turbine Fatigue Design. ENERGIES. 2019 Feb 2;12(4):603. doi: 10.3390/en12040603, 10.15488/10962
Häfele J, Hübler C, Gebhardt CG, Rolfes R. A comprehensive fatigue load set reduction study for offshore wind turbines with jacket substructures. Renewable energy. 2018 Apr;118:99-112. Epub 2017 Okt 31. doi: 10.1016/j.renene.2017.10.097
Hübler C, Gebhardt CG, Rolfes R. Assessment of a standard ULS design procedure for offshore wind turbine sub-structures. Journal of Physics: Conference Series. 2018;1104:012013. Epub 2018 Nov 6. doi: 10.1088/1742-6596/1104/1/012013
Hübler C, Piel J-H, Stetter C, Gebhardt CG, Breitner MH, Rolfes R. Effects of the Support Structure Design on the Economic Viability of Offshore Wind Projects: an Interdisciplinary Analysis: Topic: Foundations & support structures – cost reduction. 2018.
Hübler C, Gebhardt CG, Rolfes R. Methodologies for fatigue assessment of offshore wind turbines considering scattering environmental conditions and the uncertainty due to finite sampling. WIND ENERGY. 2018 Jun 21;21(11):1092-1105. doi: 10.1002/we.2216
Hübler C, Weijtjens W, Rolfes R, Devriendt C. Reliability analysis of fatigue damage extrapolations of wind turbines using offshore strain measurements. Journal of Physics: Conference Series. 2018;1037(3):032035. Epub 2018 Jun 19. doi: 10.1088/1742-6596/1037/3/032035
Natarajan A, Ehrmann A, Hübler C, Sørensen JD, Schmoor KA, Dimitrov NK et al. Probabilisticanalysis methods for support structuresWork Package –D7.42. 2018.
Häfele J, Hübler C, Gebhardt CG, Rolfes R. An effective soil-structure interaction consideration approach for time domain simulations of offshore wind turbines. 2017. Postersitzung präsentiert bei 7. GIGAWIND Symposium, Hannover, Niedersachsen, Deutschland.
Häfele J, Hübler C, Gebhardt CG, Rolfes R. Reconsidering fatigue limit state load sets for jacket substructures utilizing probability distributions of environmental states. in Proceedings of the 27th International Ocean and Polar Engineering Conference, ISOPE 2017. Society of Petroleum Engineers (SPE). 2017. S. 266-273. (Proceedings of the International Offshore and Polar Engineering Conference).
Hübler C, Guillermo Gebhardt C, Rolfes R. Development of a comprehensive database of scattering environmental conditions and simulation constraints for offshore wind turbines. Wind Energy Science. 2017 Okt 26;2(2):491-505. doi: 10.5194/wes-2-491-2017
Hübler C, Gebhardt CG, Rolfes R. Development of a comprehensive data basis of scattering environmental conditions and simulation constraints for offshore wind turbines. Wind Energy Science. 2017 Okt 26;2. doi: 10.5194/wes-2017-24
Hübler C, Häfele J, Gebhardt CG, Rolfes R. Experimentally supported consideration of operating point dependent soil properties in coupled dynamics of offshore wind turbines. Marine structures. 2017 Okt 6;57:18-37. doi: 10.1016/j.marstruc.2017.09.002
Hübler C, Müller F, Gebhardt CG, Rolfes R. Global Sensitivity Analysis of Offshore Wind Turbine Substructures. 2017. Beitrag in 15th International Probabilistic Workshop, Dresden, Deutschland.
Hübler C, Gebhardt CG, Rolfes R. Hierarchical four-step global sensitivity analysis of offshore wind turbines based on aeroelastic time domain simulations. Renewable energy. 2017 Mai 4;111:878-891. doi: 10.1016/j.renene.2017.05.013
