Chao Dang

Hivatkozott rá

	Összes	2020 óta
Hivatkozások	938	886
h-index	18	18
i10-index	29	29

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2017201820192020202120222023202420254 15 32 52 76 140 186 291 140

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19 cikk

11 cikk

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Társszerzők

Michael BeerLeibniz Universität HannoverE-mail megerősítve itt: irz.uni-hannover.de
Matthias G.R. FaesFull Professor at TU Dortmund - Chair for Reliability EngineeringE-mail megerősítve itt: tu-dortmund.de
Marcos ValdebenitoTU Dortmund University, GermanyE-mail megerősítve itt: tu-dortmund.de
Pengfei WeiNorthwestern Polytechnical UniversityE-mail megerősítve itt: nwpu.edu.cn
Jun XuHunan UniversityE-mail megerősítve itt: hnu.edu.cn
Jingwen SongNorthwestern Polytechnical UniversityE-mail megerősítve itt: nwpu.edu.cn
Matteo BroggiLeibniz Universität HannoverE-mail megerősítve itt: irz.uni-hannover.de
Changting ZhongHainan UniversityE-mail megerősítve itt: hainanu.edu.cn
Tong ZhouKyoto UniversityE-mail megerősítve itt: st.kyoto-u.ac.jp
Zhuo HuCentral South University of Forestry and TechnologyE-mail megerősítve itt: csuft.edu.cn
Chen DingMaster of Engineering, Leibniz University HannoverE-mail megerősítve itt: irz.uni-hannover.de
Minghui ChengAssistant Professor, University of Miami; Cornell University; Lehigh UniversityE-mail megerősítve itt: miami.edu
Masaru KitaharaThe University of TokyoE-mail megerősítve itt: bridge.t.u-tokyo.ac.jp
Lechang Yang（杨乐昌）University of Science and Technology BeijingE-mail megerősítve itt: ustb.edu.cn
Marco BehrendtInstitute for Risk and Reliability, Leibniz Universität HannoverE-mail megerősítve itt: irz.uni-hannover.de
Alice CicirelloHead of the Data, Vibration and Uncertainty groupE-mail megerősítve itt: cam.ac.uk
Pei-Pei LiTechnische Universität Dortmund,Tsinghua University, Kanagawa UniversityE-mail megerősítve itt: tu-dortmund.de
Nataly ManqueChair of Reliability Engineering, TU Dortmund UniversityE-mail megerősítve itt: tu-dortmund.de
Yi LuoE-mail megerősítve itt: rice.edu

Követés

Chao Dang

TU Dortmund University; Leibniz University Hannover

E-mail megerősítve itt: tu-dortmund.de

Uncertainty Quantification Reliability Analysis Surrogate Modelling Bayesian Numerical Methods


Cím Rendezés hivatkozások szerint Rendezés év szerint Rendezés cím szerint	Hivatkozott rá Hivatkozott rá	Év
A new bivariate dimension reduction method for efficient structural reliability analysis J Xu, C Dang Mechanical Systems and Signal Processing 115, 281-300, 2019	108	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	89	2019
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	53	2022
Structural reliability analysis: A Bayesian perspective C Dang, MA Valdebenito, MGR Faes, P Wei, M Beer Structural Safety 99, 102259, 2022	51	2022
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	51	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	48	2020
A mixture distribution with fractional moments for efficient seismic reliability analysis of nonlinear structures C Dang, J Xu Engineering Structures 208, 109912, 2020	48	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	44	2021
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	35	2020
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	33	2017
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	32	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	32	2020
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	29	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	28	2019
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	24	2020
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	20	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	19	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	18	2023
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	18	2020
Estimation of small failure probabilities by partially Bayesian active learning line sampling: Theory and algorithm C Dang, MA Valdebenito, J Song, P Wei, M Beer Computer Methods in Applied Mechanics and Engineering 412, 116068, 2023	17	2023

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