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Michael Beer ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Bittner, Marius / Broggi, Matteo / Beer, Michael (2024): Efficient reliability analysis of stochastic dynamic first_passage problems by probability density evolution analysis with subset supported point selection. In: Engineering Structures, v. 312 (August 2024).

    https://doi.org/10.1016/j.engstruct.2024.118210

  2. Ding, Chen / Dang, Chao / Broggi, Matteo / Beer, Michael (2024): Estimation of Response Expectation Bounds under Parametric P-Boxes by Combining Bayesian Global Optimization with Unscented Transform. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 10, n. 2 (Juni 2024).

    https://doi.org/10.1061/ajrua6.rueng-1169

  3. Wang, Zhi-wei / Lu, Xiao-fan / Zhang, Wen-Ming / Fragkoulis, Vasileios C. / Zhang, Yu-Feng / Beer, Michael (2024): Deep learning-based prediction of wind-induced lateral displacement response of suspension bridge decks for structural health monitoring. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 247 (April 2024).

    https://doi.org/10.1016/j.jweia.2024.105679

  4. Shi, Yan / Huang, Hong-Zhong / Liu, Yu / Beer, Michael (2023): Adaptive decoupled robust design optimization. In: Structural Safety, v. 105 (November 2023).

    https://doi.org/10.1016/j.strusafe.2023.102378

  5. Liao, Kang / Wu, Yiping / Miao, Fasheng / Zhang, Longfei / Beer, Michael (2023): Efficient System Reliability Analysis for Layered Soil Slopes with Multiple Failure Modes Using Sequential Compounding Method. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 9, n. 2 (Juni 2023).

    https://doi.org/10.1061/ajrua6.rueng-1022

  6. Wang, Zhi-wei / Lu, Xiao-fan / Zhang, Wen-Ming / Fragkoulis, Vasileios C. / Beer, Michael / Zhang, Yu-Feng (2023): Deep learning-based reconstruction of missing long-term girder-end displacement data for suspension bridge health monitoring. In: Computers & Structures, v. 284 (August 2023).

    https://doi.org/10.1016/j.compstruc.2023.107070

  7. Chen, Guan / Liu, Yong / Beer, Michael (2023): Effects of response spectrum of pulse-like ground motion on stochastic seismic response of tunnel. In: Engineering Structures, v. 289 (August 2023).

    https://doi.org/10.1016/j.engstruct.2023.116274

  8. Yuan, Xiukai / Valdebenito, Marcos A. / Zhang, Baoqiang / Faes, Matthias G. R. / Beer, Michael (2023): Efficient decoupling approach for reliability-based optimization based on augmented Line Sampling and combination algorithm. In: Computers & Structures, v. 280 (Mai 2023).

    https://doi.org/10.1016/j.compstruc.2023.107003

  9. Cao, Xu-Yang / Feng, De-Cheng / Beer, Michael (2023): Consistent seismic hazard and fragility analysis considering combined capacity-demand uncertainties via probability density evolution method. In: Structural Safety, v. 103 (Juli 2023).

    https://doi.org/10.1016/j.strusafe.2023.102330

  10. Chen, Guan / Yang, Jiashu / Liu, Yong / Kitahara, Takeshi / Beer, Michael (2023): An energy‐frequency parameter for earthquake ground motion intensity measure. In: Earthquake Engineering and Structural Dynamics, v. 52, n. 2 (März 2023).

    https://doi.org/10.1002/eqe.3752

  11. Liu, Wei / Ye, Tianxi / Yuan, Peng / Beer, Michael / Tong, Xiaolong (2023): An explicit integration method with third-order accuracy for linear and nonlinear dynamic systems. In: Engineering Structures, v. 274 (Januar 2023).

    https://doi.org/10.1016/j.engstruct.2022.115013

  12. Dang, Chao / Wei, Pengfei / Faes, Matthias G. R. / Beer, Michael (2022): Bayesian probabilistic propagation of hybrid uncertainties: Estimation of response expectation function, its variable importance and bounds. In: Computers & Structures, v. 270 (Oktober 2022).

    https://doi.org/10.1016/j.compstruc.2022.106860

  13. Behrendt, Marco / Kitahara, Masaru / Kitahara, Takeshi / Comerford, Liam / Beer, Michael (2022): Data-driven reliability assessment of dynamic structures based on power spectrum classification. In: Engineering Structures, v. 268 (Oktober 2022).

    https://doi.org/10.1016/j.engstruct.2022.114648

  14. Kitahara, Masaru / Bi, Sifeng / Broggi, Matteo / Beer, Michael (2022): Distribution-free stochastic model updating of dynamic systems with parameter dependencies. In: Structural Safety, v. 97 (Juli 2022).

    https://doi.org/10.1016/j.strusafe.2022.102227

  15. Dang, Chao / Wei, Pengfei / Song, Jingwen / Beer, Michael (2021): Estimation of Failure Probability Function under Imprecise Probabilities by Active Learning–Augmented Probabilistic Integration. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 7, n. 4 (Dezember 2021).

    https://doi.org/10.1061/ajrua6.0001179

  16. Faes, Matthias G. R. / Daub, Marco / Marelli, Stefano / Patelli, Edoardo / Beer, Michael (2021): Engineering analysis with probability boxes: A review on computational methods. In: Structural Safety, v. 93 (November 2021).

    https://doi.org/10.1016/j.strusafe.2021.102092

  17. Kitahara, Masaru / Bi, Sifeng / Broggi, Matteo / Beer, Michael (2021): Bayesian Model Updating in Time Domain with Metamodel-Based Reliability Method. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 7, n. 3 (September 2021).

    https://doi.org/10.1061/ajrua6.0001149

  18. Yuan, Xiukai / Liu, Shaolong / Valdebenito, M. A. / Gu, Jian / Beer, Michael (2021): Efficient procedure for failure probability function estimation in augmented space. In: Structural Safety, v. 92 (September 2021).

    https://doi.org/10.1016/j.strusafe.2021.102104

  19. He, Long Xue / Topa Gomes, António / Broggi, Matteo / Beer, Michael: Failure Analysis of Soil Slopes with Advanced Bayesian Networks. In: Periodica Polytechnica Civil Engineering.

    https://doi.org/10.3311/ppci.14092

  20. Sarvari, Hadi / Chan, Daniel W. M. / Banaitienė, Nerija / Md Noor, Norhazilan / Beer, Michael (2020): Barriers to development of private sector investment in water and sewage industry. In: Built Environment Project and Asset Management, v. 11, n. 1 (Oktober 2020).

    https://doi.org/10.1108/bepam-11-2019-0110

  21. He, Longxue / Liu, Yong / Bi, Sifeng / Wang, Li / Broggi, Matteo / Beer, Michael (2020): Estimation of failure probability in braced excavation using Bayesian networks with integrated model updating. In: Underground Space, v. 5, n. 4 (Dezember 2020).

    https://doi.org/10.1016/j.undsp.2019.07.001

  22. Faes, Matthias G. R. / Valdebenito, Marcos A. / Moens, David / Beer, Michael (2020): Bounding the first excursion probability of linear structures subjected to imprecise stochastic loading. In: Computers & Structures, v. 239 (Oktober 2020).

    https://doi.org/10.1016/j.compstruc.2020.106320

  23. Möller, Bernd / Beer, Michael (2008): Engineering computation under uncertainty – Capabilities of non-traditional models. In: Computers & Structures, v. 86, n. 10 (Mai 2008).

    https://doi.org/10.1016/j.compstruc.2007.05.041

  24. Beer, Michael / Liebscher, Martin (2008): Designing robust structures – A nonlinear simulation based approach. In: Computers & Structures, v. 86, n. 10 (Mai 2008).

    https://doi.org/10.1016/j.compstruc.2007.05.037

  25. Wang, Cao / Zhang, Hao / Beer, Michael (2018): Computing tight bounds of structural reliability under imprecise probabilistic information. In: Computers & Structures, v. 208 (1 Oktober 2018).

    https://doi.org/10.1016/j.compstruc.2018.07.003

  26. Mitseas, Ioannis P. / Kougioumtzoglou, Ioannis A. / Beer, Michael (2016): An approximate stochastic dynamics approach for nonlinear structural system performance-based multi-objective optimum design. In: Structural Safety, v. 60 (Mai 2016).

    https://doi.org/10.1016/j.strusafe.2016.01.003

  27. De Angelis, Marco / Patelli, Edoardo / Beer, Michael (2015): Advanced Line Sampling for efficient robust reliability analysis. In: Structural Safety, v. 52 (Januar 2015).

    https://doi.org/10.1016/j.strusafe.2014.10.002

  28. Comerford, Liam / Kougioumtzoglou, Ioannis A. / Beer, Michael (2015): An artificial neural network approach for stochastic process power spectrum estimation subject to missing data. In: Structural Safety, v. 52 (Januar 2015).

    https://doi.org/10.1016/j.strusafe.2014.10.001

  29. Beer, Michael / Patelli, Edoardo (2015): Engineering analysis with vague and imprecise information. In: Structural Safety, v. 52 (Januar 2015).

    https://doi.org/10.1016/j.strusafe.2014.11.001

  30. Jensen, Hector A. / Beer, Michael (2010): Discrete–continuous variable structural optimization of systems under stochastic loading. In: Structural Safety, v. 32, n. 5 (September 2010).

    https://doi.org/10.1016/j.strusafe.2010.03.007

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