Showing results 31 - 60 out of 461
2025
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 Sept;137:104360. Epub 2025 Jun 18. doi: 10.1016/j.jfluidstructs.2025.104360, 10.15488/18794
Märtins D. Novel adaptive time integration and consistent coupling of structural components in an aeroelastic simulation framework. Hannover: Leibniz Universität Hannover, 2025. 165 p. (Mitteilungen des Instituts für Statik und Dynamik der Leibniz-Universität Hannover). doi: 10.15488/19284
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 May;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 from Wind Energy Science Conference 2025, WESC 2025, Nantes, France. 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 May 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, editors, Proceedings of the 11th International Operational Modal Analysis Conference, IOMAC 2025. International Operational Modal Analysis Conference (IOMAC). 2025. p. 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, editors, Experimental Vibration Analysis for Civil Engineering Structures, EVACES 2025 - Volume 1. Springer Science and Business Media Deutschland GmbH. 2025. p. 793-802. (Lecture Notes in Civil Engineering). doi: 10.1007/978-3-031-96110-6_78
Römgens N. Robust damage detection and localization under varying environmental conditions using autoencoders and input-residual correlations. Hannover: ISD, Institut für Statik und Dynamik, Leibniz Universität Hannover, 2025. 130 p. ( Mitteilungen des Instituts für Statik und Dynamik der Leibniz Universität Hannover). doi: 10.15488/19830
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 May 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 Dec 22;10(12):3069-3089. doi: 10.5194/wes-10-3069-2025
Soleimani M, Pourbandari D, Chemaly M, Junker P, Haverich A, Wriggers P et al. Combining Inflammation and Tissue Turnover in the Modeling of Atherosclerosis Development Following the Outside‐In Disease Approach. International Journal for Numerical Methods in Biomedical Engineering. 2025 Dec 17;41(12):e70131. doi: 10.1002/cnm.70131
Sourav P, Suraj KS, Anilkumar PM, Natraj, Rao BN. Numerical analysis of an innovative solar collector utilizing bistable composite laminates and macro fiber composite actuators. Mechanics Based Design of Structures and Machines. 2025;53(1):352-373. Epub 2024 Jul 1. doi: 10.1080/15397734.2024.2365916
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 Oct;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 Oct 31. doi: 10.1177/00219983241297561
Tariq M. Fatigue behavior of thin-ply carbon composites: an experimental and numerical investigation. Hannover: ISD, Institut für Statik und Dynamik, Leibniz Universität Hannover, 2025. 127 p. (Mitteilungen des Instituts für Statik und Dynamik der Leibniz Universität Hannover). doi: 10.15488/19981
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, editors, Experimental Vibration Analysis for Civil Engineering Structures : EVACES 2025. Vol. 1. 2025. p. 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 Oct 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 Oct 1;369:119245. Epub 2025 May 26. doi: 10.1016/j.compstruct.2025.119245
Wolniak M, Ragnitz J, Jonscher C, Hofmeister B, Jauken H, Hübler C et al. Damage identification on a large-scale wind turbine rotor blade using sample-based deterministic model updating. 2025 Nov 6. Epub 2025 Nov 6. doi: 10.5194/wes-2025-219
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 Mar 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 May 11. doi: 10.1016/j.cma.2024.117038
Bahtiri B. Deep learning informed multiphysics material modeling of fiber reinforced polymer nanocomposites. Hannover: Leibniz Universität Hannover, 2024. 122 p. doi: 10.15488/18108
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. Paper presented at 11th European Workshop on Structural Health Monitoring, EWSHM 2024, Potsdam, Germany. 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, editors, The Effects of Noise on Aquatic Life: Principles and Practical Considerations. Cham: Springer International Publishing AG. 2024. p. 1559-1563 Epub 2023 Dec 28. doi: 10.1007/978-3-031-10417-6_17-1
