| A new bivariate dimension reduction method for efficient structural reliability analysis J Xu, C Dang Mechanical Systems and Signal Processing 115, 281-300, 2019 | 95 | 2019 |
| A novel fractional moments-based maximum entropy method for high-dimensional reliability analysis J Xu, C Dang Applied Mathematical Modelling 75, 749-768, 2019 | 73 | 2019 |
| Efficient reliability analysis of structures with the rotational quasi-symmetric point-and the maximum entropy methods J Xu, C Dang, F Kong Mechanical Systems and Signal Processing 95, 58-76, 2017 | 48 | 2017 |
| First-order reliability method based on Harris Hawks Optimization for high-dimensional reliability analysis C Zhong, M Wang, C Dang, W Ke, S Guo Structural and Multidisciplinary Optimization, 2020 | 41 | 2020 |
| A mixture distribution with fractional moments for efficient seismic reliability analysis of nonlinear structures C Dang, J Xu Engineering Structures 208, 109912, 2020 | 37 | 2020 |
| Parallel adaptive Bayesian quadrature for rare event estimation C Dang, P Wei, MGR Faes, MA Valdebenito, M Beer Reliability Engineering & System Safety 225, 108621, 2022 | 35 | 2022 |
| Structural reliability assessment by salp swarm algorithm–based FORM C Zhong, M Wang, C Dang, W Ke Quality and Reliability Engineering International 36 (4), 1224-1244, 2020 | 30 | 2020 |
| Estimation of failure probability function under imprecise probabilities by active learning–augmented probabilistic integration C Dang, P Wei, J Song, M Beer ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2021 | 29 | 2021 |
| A marginal fractional moments based strategy for points selection in seismic response analysis of nonlinear structures with uncertain parameters J Xu, D Wang, C Dang Journal of Sound and Vibration 387, 226-238, 2017 | 29 | 2017 |
| A novel hybrid cubature formula with Pearson system for efficient moment-based uncertainty propagation analysis J Xu, Y Zhang, C Dang Mechanical Systems and Signal Processing 140, 106661, 2020 | 28 | 2020 |
| Structural reliability analysis: A Bayesian perspective C Dang, MA Valdebenito, MGR Faes, P Wei, M Beer Structural Safety 99, 102259, 2022 | 25 | 2022 |
| An approach to evaluation of EVD and small failure probabilities of uncertain nonlinear structures under stochastic seismic excitations C Dang, P Wei, M Beer Mechanical Systems and Signal Processing 152, 107468, 2021 | 19 | 2021 |
| Novel algorithm for reconstruction of a distribution by fitting its first-four statistical moments C Dang, J Xu Applied Mathematical Modelling 71, 505-524, 2019 | 19 | 2019 |
| Interval uncertainty propagation by a parallel Bayesian global optimization method C Dang, P Wei, MGR Faes, MA Valdebenito, M Beer Applied Mathematical Modelling 108, 220-235, 2022 | 17 | 2022 |
| Unified reliability assessment for problems with low-to high-dimensional random inputs using the Laplace transform and a mixture distribution C Dang, J Xu Reliability Engineering & System Safety 204, 107124, 2020 | 16 | 2020 |
| Efficient seismic reliability analysis of non-linear structures under non-stationary ground motions ZQ Chen, SX Zheng, J Zhang, C Dang, K Wei, X Li Soil Dynamics and Earthquake Engineering 139, 106385, 2020 | 15 | 2020 |
| Bayesian probabilistic propagation of hybrid uncertainties: Estimation of response expectation function, its variable importance and bounds C Dang, P Wei, MGR Faes, M Beer Computers & Structures 270, 106860, 2022 | 13 | 2022 |
| Transfer prior knowledge from surrogate modelling: A meta-learning approach M Cheng, C Dang, DM Frangopol, M Beer, XX Yuan Computers & Structures 260, 106719, 2022 | 13 | 2022 |
| Structural reliability analysis by line sampling: A Bayesian active learning treatment C Dang, MA Valdebenito, MGR Faes, J Song, P Wei, M Beer Structural Safety 104, 102351, 2023 | 12 | 2023 |
| First-passage probability estimation of high-dimensional nonlinear stochastic dynamic systems by a fractional moments-based mixture distribution approach C Ding, C Dang, MA Valdebenito, MGR Faes, M Broggi, M Beer Mechanical Systems and Signal Processing 185, 109775, 2023 | 11 | 2023 |
Michael BeerLeibniz Universität HannoverVerified email at irz.uni-hannover.de
