2019
Martens S, Bohne T, Rolfes R. Analyzing the Sound Propagation of Wind Turbines Based on Measured Acoustical and Meteorological Parameters. 2019. Beitrag in DAGA 2019, Rostock, Deutschland.
Martens S, Bohne T, Rolfes R. Measuring and Analysing the Sound Propagation of Wind Turbines. 2019. Beitrag in International Conference on Wind Turbine Noise.
Martens S, Bohne T, Rolfes R. Towards the use of secondary windscreens to improve wind turbine sound measurements. 2019. Beitrag in 15th EAWE PhD Seminar on Wind Energy , Frankreich.
Montano Rejas Z, Opitz S, Riemenschneider J, Werthen E, Pohl M, Govers Y et al. Selected results on the development and testing of smart blades technologies for wind turbines. in Benjeddou A, Mechbal N, Deu J-F, Hrsg., Proceedings of the 9th ECCOMAS Thematic Conference on Smart Structures and Materials, SMART 2019. International Centre for Numerical Methods in Engineering, CIMNE. 2019. S. 102-117
Rolfes R. Regenerative energieversorgung der zukunft. Bauingenieur. 2019 Apr;94(4):A3.
Schwerdt L, Berger R, Panning-von Scheidt genannt Weschpfennig L, Gebhardt CG, Wallaschek J, Rolfes R. Probabilistic Study of Blend Repairs on an Axial Compressor Blisk using the Subset of Nominal Modes Method. 2019. Beitrag in International Gas Turbine Congress (IGTC) 2019, Japan.
Unger R, Braun U, Fankhänel J, Daum B, Arash B, Rolfes R. Molecular modelling of epoxy resin crosslinking experimentally validated by near-infrared spectroscopy. Computational materials science. 2019 Feb 11;161:223-235. doi: 10.1016/j.commatsci.2019.01.054
Unger R, Exner W, Arash B, Rolfes R. Non-linear viscoelasticity of epoxy resins: Molecular simulation-based prediction and experimental validation. POLYMER. 2019 Okt 10;180:121722. Epub 2019 Aug 22. doi: 10.1016/j.polymer.2019.121722
van den Broek S, Minera S, Pirrera A, Weaver PM, Jansen E, Rolfes R. Enhanced Deterministic Performance of Panels Using Stochastic Variations of Geometric and Material Parameters. in AIAA Scitech 2019 Forum. American Institute of Aeronautics and Astronautics Inc. (AIAA). 2019. (AIAA Scitech 2019 Forum). doi: 10.2514/6.2019-0511
van den Broek SF, Minera S, Jansen EL, Pirrera A, Weaver PM, Rolfes R. Improving the Static Structural Performance of Panels with Spatially Varying Material Properties Using Correlations. in Petrolo M, Hrsg., Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites . 1. Aufl. Springer Nature. 2019. S. 143-158. (PoliTO Springer Series). doi: 10.1007/978-3-030-11969-0_9
Wernitz S, Pache D, Grießmann T, Rolfes R. Damage localization with SP2E under changing conditions. 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. 3441-3449 doi: 10.12783/shm2019/32505
2018
Akterskaia M, Jansen E, Hallett SR, Weaver P, Rolfes R. Analysis of skin-stringer debonding in composite panels through a two-way global-local method. Composite structures. 2018 Okt 15;202:1280-1294. Epub 2018 Jun 19. doi: 10.1016/j.compstruct.2018.06.064
Akterskaia M, Jansen E, Rolfes R. Progressive Failure Analysis of Stiffened Composite Panels Using a Two-Way Loose Coupling Approach Including Intralaminar Failure and Debonding. in AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials. 210049 Aufl. American Institute of Aeronautics and Astronautics Inc. (AIAA). 2018. (AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2018; 210049). doi: 10.2514/6.2018-0735
Balokas G, Czichon S, Rolfes R. Neural network assisted multiscale analysis for the elastic properties prediction of 3D braided composites under uncertainty. Composite structures. 2018 Jan 1;183:550-562. Epub 2017 Jun 15. doi: 10.1016/j.compstruct.2017.06.037
Bishara M, Horst P, Madhusoodanan H, Brod M, Daum B, Rolfes R. A Structural Design Concept for a Multi-Shell Blended Wing Body with Laminar Flow Control. ENERGIES. 2018 Feb 7;11(2):383. doi: 10.3390/en11020383
Bruns M, Hofmeister B, Pache D, Rolfes R. Finite Element Model Updating of a Wind Turbine Blade—A Comparative Study. 2018. doi: 10.1007/978-3-319-97773-7_51
Dean A, Rolfes R. FE modeling and simulation framework for the forming of hybrid metal-composites clinching joints. Thin-walled structures. 2018 Okt 5;133:134-140. doi: 10.1016/j.tws.2018.09.034
Dean A, Rolfes R, Behrens BA, Hübner S, Chugreev A, Grbic N. Parametric Study of Hybrid Metal-Composites Clinching Joints. in Bay N, Nielsen CV, Hrsg., Tribology in Manufacturing Processes and Joining by Plastic Deformation II. Trans Tech Publications Ltd. 2018. S. 413-420. (Key Engineering Materials). doi: 10.4028/www.scientific.net/kem.767.413
Ehrmann A, Gebhardt CG, Rolfes R. Determination of Representative Offshore Wind Turbine Locations for Fatigue Load Monitoring by Means of Hierarchical Clustering. in Di Maio D, Hrsg., Rotating Machinery, Vibro-Acoustics and Laser Vibrometry, Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018. Springer New York LLC. 2018. S. 149-152. (Conference Proceedings of the Society for Experimental Mechanics Series). doi: 10.1007/978-3-319-74693-7_14
Haase F, Kasewieter J, Nabavi SR, Jansen E, Rolfes R, Köntges M. Fracture Probability, Crack Patterns, and Crack Widths of Multicrystalline Silicon Solar Cells in PV Modules During Mechanical Loading. IEEE journal of photovoltaics. 2018 Nov;8(6):1510-1524. 8478423. doi: 10.1109/jphotov.2018.2871338
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
Häfele J, Damiani RR, King RN, Gebhardt CG, Rolfes R. A systematic approach to offshore wind turbine jacket predesign and optimization: Geometry, cost, and surrogate structural code check models. Wind Energy Science. 2018 Aug 28;3(2):553-572. doi: 10.5194/wes-3-553-2018
Häfele J, Damiani R, King R, Gebhardt CG, Rolfes R. A Systematic Approach to Offshore Wind Turbine Jacket Pre-Design and Optimization: Geometry, Cost, and Surrogate Structural Code Check Models. Wind Energy Science Discussions. 2018. doi: 10.5194/wes-2018-39
Haldar A, Jansen EL, Rolfes R, Weaver PM. Tailoring Snap-through Loads in Variable Stiffness Composites. in AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials. 210049 Aufl. American Institute of Aeronautics and Astronautics Inc. (AIAA). 2018. (AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2018; 210049). doi: 10.2514/6.2018-2245
Hente C, Gebhardt CG, Hofmeister B, Rolfes R. On the modal analysis of flexible multibody systems with singular mass and stiffness matrices. PAMM - Proceedings in Applied Mathematics and Mechanics. 2018. doi: 10.1002/pamm.201800115
Hofmeister B, Gebhardt CG, Hente C, Rolfes R. Sparsity pattern extraction for assembly of KKT-like matrices in multibody dynamics. PAMM - Proceedings in Applied Mathematics and Mechanics. 2018. doi: 10.1002/pamm.201800105
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 Nov 6;1104(1):012013. 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 Jun 19;1037(3):032035. doi: 10.1088/1742-6596/1037/3/032035
