| Nonparametric Bayesian stochastic model updating with hybrid uncertainties M Kitahara, S Bi, M Broggi, M Beer Mechanical Systems and Signal Processing 163, 108195, 2022 | 38 | 2022 |
| Bayesian model updating in time domain with metamodel-based reliability method M Kitahara, S Bi, M Broggi, M Beer ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2021 | 26 | 2021 |
| Robust optimization of a dynamic Black-box system under severe uncertainty: A distribution-free framework A Lye, M Kitahara, M Broggi, E Patelli Mechanical Systems and Signal Processing 167, 108522, 2022 | 18 | 2022 |
| Distribution-free stochastic model updating of dynamic systems with parameter dependencies M Kitahara, S Bi, M Broggi, M Beer Structural Safety 97, 102227, 2022 | 11 | 2022 |
| Prediction of seismic loadings on wind turbine support structures by response spectrum method considering equivalent modal damping of support structures and … M Kitahara, T Ishihara Wind Energy 23 (6), 1422-1443, 2020 | 11 | 2020 |
| Bayesian updating with two-step parallel Bayesian optimization and quadrature M Kitahara, C Dang, M Beer Computer Methods in Applied Mechanics and Engineering 403, 115735, 2023 | 8 | 2023 |
| Data-driven reliability assessment of dynamic structures based on power spectrum classification M Behrendt, M Kitahara, T Kitahara, L Comerford, M Beer Engineering Structures 268, 114648, 2022 | 7 | 2022 |
| Environmental influence on structural health monitoring systems JH Bartels, M Kitahara, S Marx, M Beer Life-Cycle of Structures and Infrastructure Systems, 662-669, 2023 | 5 | 2023 |
| Residual seismic performance estimation of seismic-isolated bridges based on model updating using approximate Bayesian computation M Kitahara, M Broggi, M Beer Journal of Japan Society of Civil Engineers, Ser. A1 (Structural Engineering …, 2021 | 3 | 2021 |
| Adaptive Bayesian filter with data-driven sparse state space model for seismic response estimation M Kitahara, Y Kakiuchi, Y Yang, T Nagayama Mechanical Systems and Signal Processing 208, 111048, 2024 | 2 | 2024 |
| A distributionally robust approach for mixed aleatory and epistemic uncertainties propagation M Kitahara, J Song, P Wei, M Broggi, M Beer AIAA Journal 60 (7), 4471-4477, 2022 | 2 | 2022 |
| 適応型クリギングと MCMC 法に基づく代替モデルを用いた効率的な耐震性能評価手法 北原優， M BROGGI， M BEER 土木学会論文集 A2 (応用力学) 76 (1), 75-86, 2020 | 2 | 2020 |
| Robust SHM Systems Using Bayesian Model Updating JH Bartels, T Potthast, M Kitahara, S Marx, M Beer ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-23-043, 2023 | 1 | 2023 |
| 階層ベイズ推定によるパラメータ不確定性定量化の有用性 北原優， 北原武嗣， M BEER 土木学会論文集 79 (15), 22-15005, 2023 | 1 | 2023 |
| Comparison of state of the art sampling-based Bayesian Updating techniques MB Dodt, M Kitahara, M Broggi, B Michael Proceedings of the 8th International Symposium on Reliability Engineering …, 2022 | 1 | 2022 |
| Measurement Uncertainty In Structural Health Monitoring Systems Under Temperature Influence JH Bartels, M Kitahara, S Marx, M Beer Available at SSRN 4253412, 2022 | 1 | 2022 |
| 近似ベイズ計算 (ABC) を用いたモデル更新による免震橋梁の残存耐震性能評価の検討 北原優， M BROGGI， M BEER 土木学会論文集 A1 (構造・地震工学) 77 (4), I_61-I_70, 2021 | 1 | 2021 |
| Bayesian model updating for existing seismic-isolated bridges using observed acceleration response data M Kitahara, M Broggi, M Beer Proc., XI Int. Conf. on Structural Dynamics. München, Germany: European …, 2020 | 1 | 2020 |
| Efficient seismic performance estimation method by surrogate modeling based on adaptive kriging and Markov chain Monte Carlo M Kitahara, M Broggi, M Beer Journal of Japan Society of Civil Engineers, Ser. A2 (Applied Mechanics (AM …, 2020 | 1 | 2020 |
| Sequential and adaptive probabilistic integration for Bayesian model updating M Kitahara, T Kitahara Mechanical Systems and Signal Processing 223, 111825, 2025 | | 2025 |
Michael BeerLeibniz Universität HannoverПотвърден имейл адрес: irz.uni-hannover.de
