2025
Jonscher C, Grießmann T, Rolfes R. Monitoring von Turmstrukturen mit probabilistischen Methoden: Monitoring of Tower Structures with Probabilistic Methods. in Baudynamik 2025. VDI Verlag GmbH, Düsseldorf. 2025. S. 135-146. (VDI-Berichte; 2447). doi: 10.51202/9783181024478-135
Jonscher C, Warnken S, Ragnitz J, Heinemeyer J, Märtins D, Möller S et al. Real-Time Capable Model Updating of Digital Twins: A Case Study of a Cantilever Beam. in Cunha Á, Caetano E, Hrsg., Experimental Vibration Analysis for Civil Engineering Structures : EVACES 2025. Band 1. 2025. S. 997-1006. Chapter 99. (Experimental Vibration Analysis for Civil Engineering Structures). doi: 10.1007/978-3-031-96110-6_99
Krabbe P, Jauken H, Rolfes R. Accelerated computation of vortex-lattices via fast multipole method and vortex particle approximation. 2025. Abstract von Wind Energy Science Conference 2025, WESC 2025, Nantes, Frankreich. Epub 2025.
Liesecke L, Jonscher C, Hofmeister B, Grießmann T, Rolfes R, Govers Y. Strukturdynamik einer Windenergieanlage beim Aufbau: Structural dynamics of a wind turbine during installation. in Baudynamik 2025. VDI Verlag GmbH, Düsseldorf. 2025. S. 237-248. (VDI-Berichte; 2447). doi: 10.51202/9783181024478-237
Märtins D, Roccia BA, Schuster D, Jauken HC, Gebhardt CG, Rolfes R. Adaptive time integration based on an estimated local truncation error in a mid-fidelity aeroelastic simulation framework. 2025 Feb 18. (AIAA Journal). Epub 2025 Feb 18. doi: 10.15488/18792
Märtins D, Schuster D, Hente C, Jauken HC, Gebhardt CG, Rolfes R. An adaptive time integration approach for aeroelastic simulations using the unsteady vortex-lattice method and geometrically exact beams. Journal of Fluids and Structures. 2025 Sep;137:104360. Epub 2025 Jun 18. doi: 10.1016/j.jfluidstructs.2025.104360, 10.15488/18794
Märtins D, Schuster D, Hente C, Gebhardt CG, Rolfes R. On an objective, geometrically exact coupling element for a director-based multi-body finite element framework. Multibody system dynamics. 2025 Mai;64(1):33-60. 103897. Epub 2024 Jun 5. doi: 10.1007/s11044-024-09998-w
Minne LJ, Jauken H, Rolfes R. On an Efficient Nonlinear Beam Model for Floating Offshore Wind Turbines. 2025. Abstract von Wind Energy Science Conference 2025, WESC 2025, Nantes, Frankreich. Epub 2025.
MOLLER SOREN, POTTHAST THOMAS, WINNEWISSER NIKLAS, JONSCHER CLEMENS, BEER MICHAEL, ROLFES RAIMUND. Quantifying the Required Sample Size for Desired Confidence in Damage Detection of Structural Health Monitoring. 2025. doi: 10.12783/shm2025/37512
Möller S, Jonscher C, Grießmann T, Rolfes R. Comparing Gaussian process enhanced grey-box approaches to detect damage in unknown environmental conditions due to climate change. Structural health monitoring. 2025 Jul;24(4):2338 - 2364. Epub 2025 Feb 5. doi: 10.1177/14759217241313375
Ragnitz J, Hofmeister B, Jonscher C, Hübler C, Rolfes R. A stochastic multi-objective optimisation approach for damage localisation via model updating with uncertain input parameters. Engineering structures. 2025 Mai 1;330:119860. Epub 2025 Feb 19. doi: 10.1016/j.engstruct.2025.119860
Ragnitz J, Jonscher C, Hofmeister B, Hübler C, Rolfes R. Influence of Optimised Sensor Placements on Multi-Objective Model Updating for Damage Localisation. in Dohler M, Melot A, Lopez MA, Hrsg., Proceedings of the 11th International Operational Modal Analysis Conference, IOMAC 2025. International Operational Modal Analysis Conference (IOMAC). 2025. S. 620-627
Römgens N, Abbassi A, Talahmeh M, Grießmann T, Rolfes R. Monitoring Different Prestressing Forces of a Concrete Steel Tower Using Neuronal Networks. in Cunha Á, Caetano E, Hrsg., Experimental Vibration Analysis for Civil Engineering Structures, EVACES 2025 - Volume 1. Springer Science and Business Media Deutschland GmbH. 2025. S. 793-802. (Lecture Notes in Civil Engineering). doi: 10.1007/978-3-031-96110-6_78
Römgens N, Abbassi A, Fürll F, Grießmann T, Rolfes R, Marx S. Robust Damage Detection and Localization Under Varying Environmental Conditions Using Neural Networks and Input-Residual Correlations. Structural Control and Health Monitoring. 2025 Mai 23;2025(1):3451930. doi: 10.1155/stc/3451930
Römgens N, Abbassi A, Dierksen N, Grießmann T, Hofmeister B, Hübler C et al. Temperature-compensated autoencoders with sequences of raw time-domain signals for damage detection and localization in active and passive SHM. Structural health monitoring. 2025 Nov 4;14759217251386293. Epub 2025 Nov 4. doi: 10.1177/14759217251386293
Schmidt F, Hübler C, Rolfes R. Kriging meta-models for damage equivalent load assessment of idling offshore wind turbines. Wind Energy Science. 2025 Dez 22;10(12):3069-3089. doi: 10.5194/wes-10-3069-2025
Tariq M, Scheffler S, Anilkumar PM, Hematipour M, Christoffers M, Rolfes R. Capturing the influence of ply-thickness variation on fatigue damage behavior of carbon composites through numerical modeling and experimental validation. Thin-walled structures. 2025 Okt;215:113483. Epub 2025 Jun 10. doi: 10.1016/j.tws.2025.113483
Tariq M, Scheffler S, Anilkumar PM, Sämann P, Bülow C, Wiedemann M et al. Evaluating the mechanical behavior of carbon composites with varied ply-thicknesses using acoustic emission measurements. Journal of composite materials. 2025 Jan;59(2):223-240. Epub 2024 Okt 31. doi: 10.1177/00219983241297561
Thurn J, Kullaa J, Jonscher C, Rolfes R. Autocovariance Functions as Damage Sensitive Features: Case Study of a Lattice Tower. in Cunha Á, Caetano E, Hrsg., Experimental Vibration Analysis for Civil Engineering Structures : EVACES 2025. Band 1. 2025. S. 272-280. (Experimental Vibration Analysis for Civil Engineering Structures). doi: 10.1007/978-3-031-96110-6_25
Venkat SS, Anilkumar PM, Scheffler S, Baranger E, Rolfes R. An efficient preselection approach to determine critical parameters for slow delamination growth in postbuckled composites. International Journal of Solids and Structures. 2025 Okt 1;321:113537. Epub 2025 Jul 3. doi: 10.1016/j.ijsolstr.2025.113537
Venkat SS, Scheffler S, Anilkumar PM, Baranger E, Rolfes R. Effect of delamination defects on buckling and growth characteristics in composite laminates. Composite Structures. 2025 Okt 1;369:119245. Epub 2025 Mai 26. doi: 10.1016/j.compstruct.2025.119245
Wolniak M, Hofmeister B, Ragnitz J, Dierksen N, Jonscher C, Hübler C et al. Uncertainty propagation via sample-based deterministic model updating for structural damage identification. Structural health monitoring. 2025. Epub 2025. doi: 10.1177/14759217251387535
2024
Abbassi A, Römgens N, Dörpinghaus A, Lomazzi L, Grießmann T, Rolfes R. A weighted correction of RAPID for precise damage localization in composites using guided waves and principal component analysis. in Proceedings of the 10th European Workshop on Structural Health Monitoring (EWSHM 2024). 2024 doi: 10.58286/29828
Abbassi A, Römgens N, Grießmann T, Rolfes R. Data Augmentation with Data-Based Simulation in Structural Health Monitoring Using Knowledge Embedded Generative Adversarial Network. 2024. Epub 2024. doi: 10.2139/ssrn.4687651
Anilkumar PM, Scheffler S, Haldar A, Jansen EL, Rao BN, Rolfes R. Investigations on the dynamic snap-through of MFC bonded self-resetting bistable laminates. Composite Structures. 2024 Mär 15;332:117906. Epub 2024 Jan 18. doi: 10.1016/j.compstruct.2024.117906
Bahtiri B, Arash B, Scheffler S, Jux M, Rolfes R. A thermodynamically consistent physics-informed deep learning material model for short fiber/polymer nanocomposites. Computer Methods in Applied Mechanics and Engineering. 2024 Jul 1;427:117038. Epub 2024 Mai 11. doi: 10.1016/j.cma.2024.117038
Bartels JH, Potthast T, Möller S, Grießmann T, Rolfes R, Beer M et al.. Robust SHM: Redundancy approach with different sensor integration levels for long life monitoring systems. 2024. Beitrag in 11th European Workshop on Structural Health Monitoring, EWSHM 2024, Potsdam, Deutschland. doi: 10.58286/29699
Bohne T, Grießmann T, Rolfes R. Characterization of Noise Abatement Systems for Protecting Aquatic Invertebrates and Fishes. in Popper AN, Sisneros J, Hawkins AD, Thomsen F, Hrsg., The Effects of Noise on Aquatic Life: Principles and Practical Considerations. Cham: Springer International Publishing AG. 2024. S. 1559-1563 Epub 2023 Dez 28. doi: 10.1007/978-3-031-10417-6_17-1
Bohne T, Grießmann T, Rolfes R. Comprehensive analysis of the seismic wave fields generated by offshore pile driving: A case study at the BARD Offshore 1 offshore wind farm. Journal of the Acoustical Society of America. 2024 Mär;155(3):1856-1867. Epub 2024 Mär 7. doi: 10.1121/10.0025177
Bonilla D, Jonscher C, Wolniak M, Jauken H, Liesecke L, Grießmann T et al. In-situ monitoring of an offshore wind turbine blade using acceleration and strain measurements. e-Journal of Nondestructive Testing (eJNDT). 2024 Jul 1;29(7). doi: 10.58286/29634
