Publications and Lectures of M. Sc. Marius Bittner

Journal Articles

Showing results 1 - 7 out of 7

2024


Bittner, M., Broggi, M., & Beer, M. (2024). Efficient reliability analysis of stochastic dynamic first-passage problems by probability density evolution analysis with subset supported point selection. Engineering structures, 312, Article 118210. Advance online publication. https://doi.org/10.1016/j.engstruct.2024.118210
Bittner, M., Behrendt, M., & Beer, M. (2024). Relaxed evolutionary power spectral density functions: A probabilistic approach to model uncertainties of non-stationary stochastic signals. Mechanical Systems and Signal Processing, 211, Article 111210. https://doi.org/10.1016/j.ymssp.2024.111210
Grashorn, J., Bittner, M., Banse, M., Chang, X., Beer, M., & Fau, A. (2024). Namazu: Low-Cost Tunable Shaking Table for Vibration Experiments Under Generic Signals. Experimental techniques. Advance online publication. https://doi.org/10.1007/s40799-024-00727-8

2022


Behrendt, M., Bittner, M., Comerford, L., Beer, M., & Chen, J. (2022). Relaxed power spectrum estimation from multiple data records utilising subjective probabilities. Mechanical Systems and Signal Processing, 165, Article 108346. https://doi.org/10.1016/j.ymssp.2021.108346
Zhang, H., Bittner, M., & Beer, M. (2022). Method to generate artificial earthquake accelerations with time domain enhancement and attenuation characteristics. Ain Shams Engineering Journal, 13(3), Article 101606. https://doi.org/10.1016/j.asej.2021.09.031
Zhang, H., Bittner, M., & Beer, M. (2022). Seismic Response Meta-model of High-Rise Fame Structure Based on Time-Delay Neural Network. KSCE journal of civil engineering, 26(5), 2273-2294. https://doi.org/10.1007/s12205-022-0878-7

2021


Bai, Y., Li, Y., Tang, Z., Bittner, M., Broggi, M., & Beer, M. (2021). Seismic collapse fragility of low-rise steel moment frames with mass irregularity based on shaking table test. Bulletin of Earthquake Engineering, 19(6), 2457-2482. https://doi.org/10.1007/s10518-021-01076-2

Conference Papers

Showing results 1 - 7 out of 7

2022


Behrendt, M., Bittner, M., & Beer, M. (2022). Stochastic process generation from relaxed power spectra utilising stochastic harmonic functions. In 8th International Symposium on Reliability Engineering and Risk Management (pp. 52-58). Research Publishing Services, Singapore. https://doi.org/10.3850/978-981-18-5184-1_MS-01-220-cd
Bittner, M., Behrendt, M., Behrensdorf, J., & Beer, M. (2022). Epistemic uncertainty quantification of localised seismic power spectral densities. In The Probabilistic Safety Assessment & Management conference
Grashorn, J., Bittner, M., Wang, C., & Beer, M. (2022). The Log-Rayleigh Distribution for Local Maxima of spectrally Represented Log-normal Processes. In The 8th International Symposium On Reliability Engineering and Management (ISRERM 2022) (pp. 793-799). Research Publishing Services, Singapore. https://doi.org/10.3850/978-981-18-5184-1_GS-05-108-cd
Sun, Y., Bittner, M., Zhang, Y., & Beer, M. (2022). Simulation and risk evaluation of possible superstorms hitting Europe's north sea coast. In The 8th International Symposium On Reliability Engineering and Management (ISRERM 2022) (pp. 629-634). Research Publishing Services, Singapore. https://doi.org/10.3850/978-981-18-5184-1_MS-19-105-cd

2020


Behrendt, M., Bittner, M., Comerford, L., Broggi, M., & Beer, M. (2020). Parameter investigation of relaxed uncertain power spectra for stochastic dynamic systems. In M. Papadrakakis, M. Fragiadakis, & C. Papadimitriou (Eds.), EURODYN 2020: XI International Conference on Structural Dynamics, Proceedings, Volume II (First Edition ed., Vol. 2, pp. 3803-3815). European Association for Structural Dynamics. https://generalconferencefiles.s3-eu-west-1.amazonaws.com/eurodyn_2020_ebook_procedings_vol2.pdf
Bittner, M., Broggi, M., Beer, M., Chen, J., & Li, J. (2020). Reliability estimation of rare events for stochastic dynamic systems excited by stationary stochastic processes. In APSSRA2020 https://doi.org/10.15083/00079789

2019


Bittner, M., Broggi, M., & Beer, M. (2019). Rare event modelling for stochastic dynamic systems approximated by the probability density evolution method. In M. Beer, & E. Zio (Eds.), Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019 (pp. 2719-2726). Research Publishing Services, Singapore. https://doi.org/10.3850/978-981-11-2724-3_0735-cd