Publications
- Published
On developing an optimal design procedure for a bimorph piezoelectric cantilever energy harvester under a predefined volume
Aboulfotoh, N. & Twiefel, J., Jun 2018, In: Mechanical Systems and Signal Processing. 106, p. 1-12 12 p.Research output: Contribution to journal › Article › Research › peer review
- Published
Modal parameter estimation of turbomachinery in operation taking into account friction damping
Amer, M., Ventura, C. E., Maroldt, N., Seume, J. R. & Wallaschek, J., 1 Jul 2024, In: Mechanical Systems and Signal Processing. 216, 21 p., 111414.Research output: Contribution to journal › Article › Research › peer review
- External
Imprecise probabilities in engineering analyses
Beer, M., Ferson, S. & Kreinovich, V., May 2013, In: Mechanical Systems and Signal Processing. 37, 1-2, p. 4-29 26 p.Research output: Contribution to journal › Article › Research › peer review
- External
Special issue of Mechanical Systems and Signal Processing "Imprecise probabilities - What can they add to engineering analyses?"
Beer, M. (Guest editor) & Ferson, S. (Guest editor), May 2013, In: Mechanical Systems and Signal Processing. 37, 1-2, p. 1-3 3 p.Research output: Contribution to journal › Editorial in journal › Research › peer review
- Published
Relaxed power spectrum estimation from multiple data records utilising subjective probabilities
Behrendt, M., Bittner, M., Comerford, L., Beer, M. & Chen, J., 15 Feb 2022, In: Mechanical Systems and Signal Processing. 165, 108346.Research output: Contribution to journal › Article › Research › peer review
- Published
Projecting interval uncertainty through the discrete Fourier transform: An application to time signals with poor precision
Behrendt, M., Angelis, M. D., Comerford, L., Zhang, Y. & Beer, M., 1 Jun 2022, In: Mechanical Systems and Signal Processing. 172, 108920.Research output: Contribution to journal › Article › Research › peer review
- Published
Estimation of an imprecise power spectral density function with optimised bounds from scarce data for epistemic uncertainty quantification
Behrendt, M., Faes, M. G. R., Valdebenito, M. A. & Beer, M., 15 Apr 2023, In: Mechanical Systems and Signal Processing. 189, 110072.Research output: Contribution to journal › Article › Research › peer review
- Published
Data-driven and physics-based interval modelling of power spectral density functions from limited data
Behrendt, M., Dang, C. & Beer, M., 15 Feb 2024, In: Mechanical Systems and Signal Processing. 208, 15 p., 111078.Research output: Contribution to journal › Article › Research › peer review
- Published
The Bhattacharyya distance: Enriching the P-box in stochastic sensitivity analysis
Bi, S., Broggi, M., Wei, P. & Beer, M., 15 Aug 2019, In: Mechanical Systems and Signal Processing. 129, p. 265-281 17 p.Research output: Contribution to journal › Article › Research › peer review
- Published
The role of the Bhattacharyya distance in stochastic model updating
Bi, S., Broggi, M. & Beer, M., 15 Feb 2019, In: Mechanical Systems and Signal Processing. 117, p. 437-452 16 p.Research output: Contribution to journal › Article › Research › peer review
- Published
Towards the NASA UQ Challenge 2019: Systematically forward and inverse approaches for uncertainty propagation and quantification
Bi, S., He, K., Zhao, Y., Moens, D., Beer, M. & Zhang, J., 15 Feb 2022, In: Mechanical Systems and Signal Processing. 165, 108387.Research output: Contribution to journal › Article › Research › peer review
- Published
Editorial: Recent advances in stochastic model updating
Bi, S., Beer, M. & Mottershead, J., 1 Jun 2022, In: Mechanical Systems and Signal Processing. 172, 108971.Research output: Contribution to journal › Editorial in journal › Research › peer review
- Published
Stochastic Model Updating with Uncertainty Quantification: An Overview and Tutorial
Bi, S., Beer, M., Cogan, S. & Mottershead, J., 1 Dec 2023, In: Mechanical Systems and Signal Processing. 204, 110784.Research output: Contribution to journal › Article › Research › peer review
- Published
Relaxed evolutionary power spectral density functions: A probabilistic approach to model uncertainties of non-stationary stochastic signals
Bittner, M., Behrendt, M. & Beer, M., 1 Apr 2024, In: Mechanical Systems and Signal Processing. 211, 111210.Research output: Contribution to journal › Article › Research › peer review
- Published
Broadband non-reciprocal wave suppression and frequency conversion by active metabeams
Cai, R., Jin, Y., Pennec, Y., Djafari-Rouhani, B., Rabczuk, T. & Zhuang, X., 1 Nov 2024, In: Mechanical Systems and Signal Processing. 220, 16 p., 111656.Research output: Contribution to journal › Article › Research › peer review
- Published
Viscoelastic analytical model and design of polymer-based bimodal piezoelectric motor
Cao, T., Li, X., Wang, B., Mi, Y., Zhao, G., Twiefel, J. & Wu, D., Nov 2020, In: Mechanical Systems and Signal Processing. 145, 106960.Research output: Contribution to journal › Article › Research › peer review
- Published
A KDE-based non-parametric cloud approach for efficient seismic fragility estimation of structures under non-stationary excitation
Cao, X. Y., Feng, D. C. & Beer, M., 15 Dec 2023, In: Mechanical Systems and Signal Processing. 205, 110873.Research output: Contribution to journal › Article › Research › peer review
- Published
Modeling response spectrum compatible pulse-like ground motion
Chen, G., Beer, M. & Liu, Y., 1 Sept 2022, In: Mechanical Systems and Signal Processing. 177, 109177.Research output: Contribution to journal › Article › Research › peer review
- Published
Reduction of random variables in the Stochastic Harmonic Function representation via spectrum-relative dependent random frequencies
Chen, J., Comerford, L., Peng, Y., Beer, M. & Li, J., Jul 2020, In: Mechanical Systems and Signal Processing. 141, 106718.Research output: Contribution to journal › Article › Research › peer review
- Published
Stochastic harmonic function based wind field simulation and wind-induced reliability of super high-rise buildings
Chen, J., Chen, Y., Peng, Y., Zhu, S., Beer, M. & Comerford, L., 1 Nov 2019, In: Mechanical Systems and Signal Processing. 133, 106264.Research output: Contribution to journal › Article › Research › peer review