Zeige Ergebnisse 31 - 60 von 451
2025
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. 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 S. ( 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 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
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 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
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 S. (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, 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, 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
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
Bahtiri B. Deep learning informed multiphysics material modeling of fiber reinforced polymer nanocomposites. Hannover: Leibniz Universität Hannover, 2024. 122 S. 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. 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
Dean A, Asur PK, Mahdi E, Rolfes R. A PHASE-FIELD APPROACH TO MODEL DUCTILE QUASI-STATIC AND FATIGUE FRACTURE IN SHORT FIBER REINFORCED POLYMER COMPOSITES. World Congress in Computational Mechanics and ECCOMAS Congress. 2024 Okt 29. doi: 10.23967/eccomas.2024.241
Dean A, Mahdi E. Investigating the impact of cross-sectional area on the crushing characteristics of axially-loaded hemispherical composite shells. Composites Part C: Open Access. 2024 Jul;14:100479. Epub 2024 Jun 24. doi: 10.1016/j.jcomc.2024.100479
Dierksen N, Hofmeister B, Jonscher C, Hübler C. Investigations of different likelihood functions for the use in Bayesian model updating in structural applications. e-Journal of Nondestructive Testing (eJNDT). 2024 Jul 1;29(7). doi: 10.58286/29616
Hacker G, Just G, Scheffler SS, Koch I, Gude M, Rolfes R. An energy-conserving cycle jump and load application technique for high-cycle fatigue simulations under general loading conditions. in Proceedings of the 21st European Conference on Composite Materials. Band 3. 2024. S. 713-717 doi: 10.60691/yj56-np80
Hematipour M, Dean A, Tariq M, Scheffler S, Rolfes R. Experimental and Numerical Investigation of the Mechanical Behavior of Short Fiber Reinforced Adhesives: Eccomas congress, 2024. in 9th European Congress on Computational Methods in Applied Sciences and Engineering. 2024 doi: 10.23967/eccomas.2024.171
Hente C, Roccia BA, Rolfes R, Gebhardt CG. Analytical Linearization of Aerodynamic Loads in Unsteady Vortex-Lattice Method for Nonlinear Aeroelastic Applications. AIAA journal. 2024 Okt;62(10):3857-3880. Epub 2024 Aug 16. doi: 10.2514/1.J063693
