Publications

Showing results 1 - 15 out of 15

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. p. 163-170 doi: 10.15480/882.9247
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 May 17. doi: 10.2514/1.J062289
Hübler C, Gardner P, Wolniak M. Robust model updating in structural dynamics using a new non-implausibility-motivated optimisation approach. Mechanical Systems and Signal Processing. 2023 Sept 1;198:110401. Epub 2023 May 8. doi: 10.1016/j.ymssp.2023.110401
Wolniak M, Hofmeister B, Jonscher C, Fankhänel M, Loose A, Hübler C et al. Validation of an FE model updating procedure for damage assessment using a modular laboratory experiment with a reversible damage mechanism. Journal of Civil Structural Health Monitoring. 2023 Oct;13(6-7):1185–1206. Epub 2023 May 9. doi: 10.1007/s13349-023-00701-9
Wernitz S, Chatzi E, Hofmeister B, Wolniak MT, Rolfes R. On noise covariance estimation for Kalman filter-based damage localization. Mechanical Systems and Signal Processing. 2022 May 1;170:108808. Epub 2022 Feb 1. doi: 10.1016/j.ymssp.2022.108808
Anilkumar PM, Rao BN, Haldar A, Scheffler S, Wolniak M, Rolfes R et al. Investigations on the linear vibration characteristics of bistable unsymmetrical laminates. In AIAA SciTech Forum 2022. American Institute of Aeronautics and Astronautics Inc. (AIAA). 2021. AIAA 2022-0258 doi: 10.2514/6.2022-0258
Berger R, Bruns M, Ehrmann A, Haldar A, Häfele J, Hofmeister B et al. EngiO – Object-oriented framework for engineering optimization. Advances in engineering software. 2021 Mar;153:102959. Epub 2021 Jan 24. doi: 10.1016/j.advengsoft.2020.102959
Bruns M, Hofmeister B, Hübler C, Rolfes R. Model validation using iterative finite element model updating. In Desmet W, Pluymers B, Moens D, Vandemaele S, editors, Proceedings of ISMA 2020 - International Conference on Noise and Vibration Engineering and USD 2020 - International Conference on Uncertainty in Structural Dynamics. KU Leuven - Departement Werktuigkunde. 2020. p. 1951-1960
Haldar A, Jansen EL, Hofmeister B, Bruns MT, Rolfes R. Analysis of novel morphing trailing edge flap actuated by multistable laminates. AIAA journal. 2020 Apr 2;58(7):3149-3158. doi: 10.2514/1.J058870
Hofmeister B, Bruns MT, Hübler C, Rolfes R. MOGPS Supplementary Material. 2020 Dec 23. Epub 2020 Dec. doi: 10.15488/10319
Bruns M, Hofmeister B, Grießmann T, Rolfes R. Comparative study of parameterizations for damage localization with finite element model updating. In Beer M, Zio E, editors, Proceedings of the 29th European Safety and Reliability Conference (ESREL): 22-26 September 2019, Hannover, Germany. Europe: Research Publishing Services, Singapore. 2019. p. 1125-1132 doi: 10.3850/978-981-11-2724-3_0713-cd
Bruns M, Hofmeister B, Hübler C, Rolfes R. Damage localization via model updating using a damage distribution function. In Chang FK, Guemes A, Kopsaftopoulos F, editors, 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. p. 909-917 doi: 10.12783/shm2019/32202
Hofmeister B, Bruns MT, Grießmann T, Rolfes R. An Inverse Model Reduction Method for Finite Element Model Updating in Structural Health Monitoring. 2019. Wind Energy Science Conference 2019, Cork, Ireland. doi: 10.5281/zenodo.3459166
Hofmeister B, Bruns M, Rolfes R. Finite element model updating using deterministic optimisation: A global pattern search approach. Engineering structures. 2019 Sept 15;195:373-381. Epub 2019 Jun 11. doi: 10.1016/j.engstruct.2019.05.047
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