Book Chapter
Showing results 1 - 11 out of 11
Journal Articles
Showing results 221 - 240 out of 313
2020
Yan, W.-J., Zhao, M.-Y., Beer, M., Ren, W.-X., & Chronopoulos, D. (2020). A unified scheme to solving arbitrary complex-valued ratio distribution with application to statistical inference for raw frequency response functions and transmissibility functions. Mechanical Systems and Signal Processing, 145, Article 106886. https://doi.org/10.1016/j.ymssp.2020.106886
2019
Beer, M., Gholamy, A., & Kreinovich, V. (2019). A theoretical explanation for the efficiency of generalized harmonic wavelets in engineering and seismic spectral analysis. Matematičeskie struktury i modelirovanie, 3(51), 97-104. https://doi.org/10.25513/2222-8772.2019.3.97-104
Behrensdorf, J., Broggi, M., & Beer, M. (2019). Reliability Analysis of Networks Interconnected with Copulas. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 5(4), Article 041006. https://doi.org/10.1115/1.4044043
Bi, S., Broggi, M., Wei, P., & Beer, M. (2019). The Bhattacharyya distance: Enriching the P-box in stochastic sensitivity analysis. Mechanical Systems and Signal Processing, 129, 265-281. https://doi.org/10.1016/j.ymssp.2019.04.035
Bi, S., Broggi, M., & Beer, M. (2019). The role of the Bhattacharyya distance in stochastic model updating. Mechanical Systems and Signal Processing, 117, 437-452. https://doi.org/10.1016/j.ymssp.2018.08.017
Chen, N., Xia, S., Yu, D., Liu, J., & Beer, M. (2019). Hybrid interval and random analysis for structural-acoustic systems including periodical composites and multi-scale bounded hybrid uncertain parameters. Mechanical Systems and Signal Processing, 115, 524-544. https://doi.org/10.1016/j.ymssp.2018.06.016
Chen, J., Chen, Y., Peng, Y., Zhu, S., Beer, M., & Comerford, L. (2019). Stochastic harmonic function based wind field simulation and wind-induced reliability of super high-rise buildings. Mechanical Systems and Signal Processing, 133, Article 106264. https://doi.org/10.1016/j.ymssp.2019.106264
Faes, M., Broggi, M., Patelli, E., Govers, Y., Mottershead, J., Beer, M., & Moens, D. (2019). A multivariate interval approach for inverse uncertainty quantification with limited experimental data. Mechanical Systems and Signal Processing, 118, 534-548. https://doi.org/10.1016/j.ymssp.2018.08.050
Faes, M., Sadeghi, J., Broggi, M., de Angelis, M., Patelli, E., Beer, M., & Moens, D. (2019). On the Robust Estimation of Small Failure Probabilities for Strong Nonlinear Models. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 5(4), Article 041007. https://doi.org/10.1115/1.4044044
Feng, J., Liu, L., Wu, D., Li, G., Beer, M., & Gao, W. (2019). Dynamic reliability analysis using the extended support vector regression (X-SVR). Mechanical Systems and Signal Processing, 126, 368-391. https://doi.org/10.1016/j.ymssp.2019.02.027
Fragkoulis, V., Kougioumtzoglou, I. A., Pantelous, A. A., & Beer, M. (2019). Non-stationary response statistics of nonlinear oscillators with fractional derivative elements under evolutionary stochastic excitation. Nonlinear Dynamics, 97(4), 2291-2303. https://doi.org/10.1007/s11071-019-05124-0
George-Williams, H., Feng, G., Coolen, F. PA., Beer, M., & Patelli, E. (2019). Extending the survival signature paradigm to complex systems with non-repairable dependent failures. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 233(4), 505-519. https://doi.org/10.1177/1748006X18808085
He, L., Gomes, A. T., Broggi, M., & Beer, M. (2019). Failure analysis of soil slopes with advanced Bayesian networks. Periodica Polytechnica Civil Engineering, 63(3), 763-774. https://doi.org/10.3311/PPci.14092, https://doi.org/10.15488/10443
Miro, S., Willeke, T., Broggi, M., Seume, J. R., & Beer, M. (2019). Reliability Analysis of an Axial Compressor Based on One-Dimensional Flow Modeling and Survival Signature. Procedia CIRP, 5(3), Article 031003. https://doi.org/10.1115/1.4043150
Mitseas, I. P., & Beer, M. (2019). Modal decomposition method for response spectrum based analysis of nonlinear and non-classically damped systems. Mechanical Systems and Signal Processing, 131, 469-485. https://doi.org/10.1016/j.ymssp.2019.05.056
Rasidi Rasani, M., Moria, H., Beer, M., & Kamal Ariffin, A. (2019). Vibration Performance of a Flow Energy Converter behind Two Side-By-Side Cylinders. Journal of Marine Science and Engineering, 7(12), Article 435. https://doi.org/10.3390/JMSE7120435, https://doi.org/10.15488/10868
Sarvari, H., Valipour, A., Yahya, N., Noor, N. MD., Beer, M., & Banaitiene, N. (2019). Approaches to Risk Identification in Public–Private Partnership Projects: Malaysian Private Partners’ Overview. Administrative Sciences, 9(1), Article 17. https://doi.org/10.3390/admsci9010017
Sarvari, H., Rakhshanifar, M., Tamošaitienė, J., Chan, D. W. M., & Beer, M. (2019). A Risk Based Approach to Evaluating the Impacts of Zayanderood Drought on Sustainable Development Indicators of Riverside Urban in Isfahan-Iran. Sustainability, 11(23), Article 6797. https://doi.org/10.3390/su11236797, https://doi.org/10.15488/10489
Song, J., Wei, P., Valdebenito, M., Bi, S., Broggi, M., Beer, M., & Lei, Z. (2019). Generalization of non-intrusive imprecise stochastic simulation for mixed uncertain variables. Mechanical Systems and Signal Processing, 134, Article 106316. https://doi.org/10.1016/j.ymssp.2019.106316
Song, Y., Chen, J., Beer, M., & Comerford, L. (2019). Wind Speed Field Simulation via Stochastic Harmonic Function Representation Based on Wavenumber-Frequency Spectrum. Journal of Engineering Mechanics - ASCE, 145(11), Article 04019086. https://doi.org/10.1061/(ASCE)EM.1943-7889.0001666
