Publikationen von Prof. Dr.-Ing. Michael Beer (FIS)

Buchbeiträge

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Journal-Artikel

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2017


Zhang, H., Ha, L., Li, Q., & Beer, M. (2017). Imprecise probability analysis of steel structures subject to atmospheric corrosion. Structural Safety, 67, 62-69. https://doi.org/10.1016/j.strusafe.2017.04.001
Zhang, Y., Comerford, L., Kougioumtzoglou, I. A., Patelli, E., & Beer, M. (2017). Uncertainty quantification of power spectrum and spectral moments estimates subject to missing data. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 3(4), Artikel 04017020. https://doi.org/10.1061/AJRUA6.0000925

2016


Chen, N., Yu, D., Xia, B., & Beer, M. (2016). Uncertainty analysis of a structural–acoustic problem using imprecise probabilities based on p-box representations. Mechanical Systems and Signal Processing, 80, 45-57. https://doi.org/10.1016/j.ymssp.2016.04.009
Comerford, L., Kougioumtzoglou, I. A., & Beer, M. (2016). Compressive sensing based stochastic process power spectrum estimation subject to missing data. Probabilistic Engineering Mechanics, 44, 66-76. https://doi.org/10.1016/j.probengmech.2015.09.015
Duy Minh, D., Gao, W., Song, C., & Beer, M. (2016). Interval spectral stochastic finite element analysis of structures with aggregation of random field and bounded parameters. International Journal for Numerical Methods in Engineering, 108(10), 1198-1229. https://doi.org/10.1002/nme.5251
Feng, G., Patelli, E., Beer, M., & Coolen, F. P. A. (2016). Imprecise system reliability and component importance based on survival signature. Reliability engineering & system safety, 150, 116-125. https://doi.org/10.1016/j.ress.2016.01.019
Kosheleva, O., & Beer, M. (2016). Why Modified exponential covariance kernel is empirically successful: A theoretical explanation. Journal of Uncertain Systems, 10(1), 10-14. http://www.worldacademicunion.com/journal/jus/jusVol10No1paper02.pdf
Kougioumtzoglou, I. A., Zhang, Y., & Beer, M. (2016). Softening duffing oscillator reliability assessment subject to evolutionary stochastic excitation. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 2(2), Artikel C4015001. https://doi.org/10.1061/AJRUA6.0000828
Mitseas, I. P., Kougioumtzoglou, I. A., & Beer, M. (2016). An approximate stochastic dynamics approach for nonlinear structural system performance-based multi-objective optimum design. Structural Safety, 60, 67-76. https://doi.org/10.1016/j.strusafe.2016.01.003
Mitseas, I. P., Kougioumtzoglou, I. A., Spanos, P. D., & Beer, M. (2016). Nonlinear MDOF system survival probability determination subject to evolutionary stochastic excitation. Strojniski Vestnik/Journal of Mechanical Engineering, 62(7-8), 440-451. https://doi.org/10.5545/sv-jme.2016.3752
Moura, R., Beer, M., Patelli, E., Lewis, J., & Knoll, F. (2016). Learning from major accidents to improve system design. Safety Science, 84, 37-45. https://doi.org/10.1016/j.ssci.2015.11.022
Valdebenito, M. A., Pérez, C. A., Jensen, H. A., & Beer, M. (2016). Approximate fuzzy analysis of linear structural systems applying intervening variables. Computers & structures, 162, 116-129. https://doi.org/10.1016/j.compstruc.2015.08.020
Zhang, M. Q., Beer, M., Koh, C. G., & Jensen, H. A. (2016). Nuanced Robustness Analysis with Limited Information. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 2(3), Artikel B4015001. https://doi.org/10.1061/AJRUA6.0000821

2015


Comerford, L., Kougioumtzoglou, I. A., & Beer, M. (2015). An artificial neural network approach for stochastic process power spectrum estimation subject to missing data. Structural Safety, 52(Part B), 150-160. https://doi.org/10.1016/j.strusafe.2014.10.001
Comerford, L. A., Kougioumtzoglou, I. A., & Beer, M. (2015). On quantifying the uncertainty of stochastic process power spectrum estimates subject to missing data. International Journal of Sustainable Materials and Structural Systems, 2(1-2). https://doi.org/10.1504/IJSMSS.2015.078358
de Angelis, M., Patelli, E., & Beer, M. (2015). Advanced Line Sampling for efficient robust reliability analysis. Structural Safety, 52(Part B), 170-182. https://doi.org/10.1016/j.strusafe.2014.10.002
Jiang, Y., Sun, G., He, Y., Beer, M., & Zhang, J. (2015). A nonlinear model of failure function for reliability analysis of RC frame columns with tension failure. Engineering Structures, 98, 74-80. https://doi.org/10.1016/j.engstruct.2015.04.030
Zhang, Y., Beer, M., & Quek, S. T. (2015). Long-term performance assessment and design of offshore structures. Computers & structures, 154, 101-115. https://doi.org/10.1016/j.compstruc.2015.02.029

2014


Liu, Y., Lee, F.-H., Quek, S.-T., & Beer, M. (2014). Modified linear estimation method for generating multi-dimensional multi-variate Gaussian field in modelling material properties. Probabilistic Engineering Mechanics, 38, 42-53. https://doi.org/10.1016/j.probengmech.2014.09.001

2013


Beer, M., Ferson, S., & Kreinovich, V. (2013). Imprecise probabilities in engineering analyses. Mechanical Systems and Signal Processing, 37(1-2), 4-29. https://doi.org/10.1016/j.ymssp.2013.01.024