Publikationen

Zeige Ergebnisse 1 - 30 von 345

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. 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. 2024 Jul 1;29(7). doi: 10.58286/29634
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 Vol. 3. 2024 Epub 2024. doi: 10.60691/yj56-np80
Jonscher C, Möller S, Liesecke L, Hofmeister B, Grießmann T, Rolfes R. Heteroscedastic Gaussian processes for data normalisation in probabilistic novelty detection of a wind turbine. Engineering structures. 2024 Apr 15;305:117786. Epub 2024 Mär 1. doi: 10.1016/j.engstruct.2024.117786
Jonscher C, Wolniak MT, Hofmeister B, Grießmann T, Rolfes R. Hybridtürme von Windenergieanlagen: Einfluss der Fugenimperfektionen auf Biegemoden. in Berichte der Fachtagung Baustatik: Baupraxis 15 : 04. und 05. März 2024, Hamburg. 2024. S. 163-170 doi: 10.15480/882.9247
Jonscher C, Möller S, Liesecke L, Schuster D, Hofmeister B, Grießmann T et al. Identification Uncertainties of Bending Modes of an Onshore Wind Turbine for Vibration-Based Monitoring. Structural Control and Health Monitoring. 2024 Mär 11;2024:3280697. doi: 10.1155/2024/3280697
Kullaa J, Jonscher C, Liesecke L, Rolfes R. Damage Detection with Closely Spaced Modes Using Autocovariance Functions. in Rainieri C, Gentile C, Aenlle López M, Hrsg., Proceedings of the 10th International Operational Modal Analysis Conference (IOMAC 2024). 2024. S. 87-94. Chapter 9. (Lecture Notes in Civil Engineering). doi: 10.1007/978-3-031-61425-5_9
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. 2024 Jun 5. Epub 2024 Jun 5. doi: 10.1007/s11044-024-09998-w
Ragnitz J, Hofmeister B, Jonscher C, Hübler C, Rolfes R. Multi-Objective Model Updating of Tower Structures Featuring Closely Spaced Modes. e-Journal of Nondestructive Testing. 2024 Jul 1;29(7). doi: 10.58286/29663
Römgens N, Abbassi A, Talahmeh M, Grießmann T, Rolfes R. Monitoring Fatigue of Grouted Connections Using Autoencoders and In-Situ Fiber Optical Sensors. in Proceedings of the 10th European Workshop on Structural Health Monitoring (EWSHM 2024). 2024 doi: 10.58286/29604
Römgens N, Abbassi A, Jonscher C, Grießmann T, Rolfes R. On using autoencoders with non-standardized time series data for damage localization. Engineering structures. 2024 Mär 15;303:117570. Epub 2024 Jan 28. doi: 10.1016/j.engstruct.2024.117570
Wickramarachchi CT, Gardner P, Poole J, Hübler C, Jonscher C, Rolfes R. Damage localisation using disparate damage states via domain adaptation. Data-Centric Engineering. 2024 Feb 2;5(1):e3. doi: 10.1017/dce.2023.29

2023


Abbassi A, Römgens N, Grießmann T, Till J, Rolfes R. Enhancing the Reliability of Structural Health Monitoring for Bolted Joint Connections in Segmented Rotor Blades Using Data Fusion. in Farhangdoust S, Guemes A, Chang FK, Hrsg., Structural health monitoring 2023: Designing SHM for Sustainability, Maintainability, and Reliability . DEStech Publications Inc. 2023. S. 1497-1504
Abbassi A, Römgens N, Tritschel FF, Penner N, Rolfes R. Evaluation of machine learning techniques for structural health monitoring using ultrasonic guided waves under varying temperature conditions. Structural health monitoring. 2023 Mär;22(2):1308-1325. Epub 2022 Jun 16. doi: 10.1177/14759217221107566
Anilkumar PM, Scheffler S, Haldar A, Brod M, Rao BN, Jansen EL et al. Nonlinear dynamic modeling of bistable variable stiffness composite laminates. Journal of sound and vibration. 2023 Feb 17;545:117417. Epub 2022 Nov 8. doi: 10.1016/j.jsv.2022.117417
Anilkumar PM, Rao BN, Scheffler S, Wolniak M, Rolfes R, Haldar A et al. Refined semi-analytical framework to predict the natural vibration characteristics of bistable laminates. AIAA journal. 2023 Jul;61(7):3158-3171. Epub 2023 Mai 17. doi: 10.2514/1.J062289
Arash B, Exner W, Rolfes R. Effect of moisture on the nonlinear viscoelastic fracture behavior of polymer nanocompsites: a finite deformation phase-field model. Engineering with computers. 2023 Feb;39(1):773-790. Epub 2022 Mai 23. doi: 10.1007/s00366-022-01670-1
Bahtiri B, Arash B, Scheffler SS, Jux M, Rolfes R. A machine learning-based viscoelastic–viscoplastic model for epoxy nanocomposites with moisture content. Computer Methods in Applied Mechanics and Engineering. 2023 Okt 1;415:116293. Epub 2023 Aug 7. doi: 10.48550/arXiv.2305.08102, 10.1016/j.cma.2023.116293
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. 2023. S. 1-5 Epub 2023 Dez 28. doi: 10.1007/978-3-031-10417-6_17-1
Bonilla D, Grießmann T, Rolfes R. Investigation of Transmissibility-Based Operational Modal Analysis from Ground Excitation. in Limongelli MP, Giordano PF, Gentile C, Quqa S, Cigada A, Hrsg., Experimental Vibration Analysis for Civil Engineering Structures : EVACES 2023 . Springer Science and Business Media Deutschland GmbH. 2023. S. 71-79. (Lecture Notes in Civil Engineering). Epub 2023 Aug 2. doi: 10.1007/978-3-031-39109-5_8
Gerendt C, Hematipour M, Englisch N, Scheffler S, Rolfes R. A finite element-based continuum damage model for mechanical joints in fiber metal laminates under static and fatigue loading. Composite structures. 2023 Mai 15;312:116797. Epub 2023 Feb 20. doi: 10.1016/j.compstruct.2023.116797
Jonscher C, Liesecke L, Penner N, Hofmeister B, Grießmann T, Rolfes R. Influence of system changes on closely spaced modes of a large-scale concrete tower for the application to structural health monitoring. Journal of Civil Structural Health Monitoring. 2023 Jun;13(4-5):1043-1060. Epub 2023 Apr 13. doi: 10.1007/s13349-023-00693-6
Könecke S, Hörmeyer J, Bohne T, Rolfes R. A new base of wind turbine noise measurement data and its application for a systematic validation of sound propagation models. Wind Energy Science. 2023 Apr 28;8(4):639–659. doi: 10.5194/wes-8-639-2023
Liesecke L, Jonscher C, Grießmann T, Rolfes R. Investigations of Mode Shapes of Closely Spaced Modes from a Lattice Tower Identified Using Stochastic Subspace Identification. in Limongelli MP, Giordano PF, Gentile C, Quqa S, Cigada A, Hrsg., Experimental Vibration Analysis for Civil Engineering Structures. Springer, Cham. 2023. S. 529-538. (Lecture Notes in Civil Engineering). Epub 2023 Aug 2. doi: 10.1007/978-3-031-39109-5_54
Möller S, Jonscher C, Grießmann T, Rolfes R. Investigations Towards Physics-Informed Gaussian Process Regression for the Estimation of Modal Parameters of a Lattice Tower Under Environmental Conditions. in Limongelli MP, Giordano PF, Gentile C, Quqa S, Cigada A, Hrsg., Experimental Vibration Analysis for Civil Engineering Structures: EVACES 2023 - Volume 2. 2023. S. 401–410. (Lecture Notes in Civil Engineering). Epub 2023 Aug 29. doi: 10.1007/978-3-031-39117-0_41