Time-dependent reliability analysis through response surface method D Zhang, X Han, C Jiang, J Liu, Q Li ASME-Journal of Mechanical Design 139 (4), 041404, 2017 | 223 | 2017 |
Hybrid learning algorithm of radial basis function networks for reliability analysis D Zhang, N Zhang, N Ye, J Fang, X Han IEEE Transactions on Reliability 70 (3), 887 - 900, 2021 | 136 | 2021 |
A time-variant reliability analysis method based on stochastic process discretization C Jiang, XP Huang, X Han, D Zhang ASME-Journal of Mechanical Design 136 (9), 091009, 2014 | 117 | 2014 |
A moment approach to positioning accuracy reliability analysis for industrial robots J Wu, D Zhang, J Liu, X Han IEEE Transactions on Reliability 69 (2), 699 - 714, 2020 | 115 | 2020 |
New efficient and robust method for structural reliability analysis and its application in reliability-based design optimization M Yang, D Zhang, X Han Computer Methods in Applied Mechanics and Engineering 366, 113018, 2020 | 109 | 2020 |
An importance learning method for non-probabilistic reliability analysis and optimization Z Meng, D Zhang, G Li, B Yu Structural and Multidisciplinary Optimization 59 (4), 1255–1271, 2019 | 107 | 2019 |
An active learning method combining Kriging and accelerated chaotic single loop approach (AK-ACSLA) for reliability-based design optimization Z Meng, Z Zhang, D Zhang, D Yang Computer Methods in Applied Mechanics and Engineering 357, 112570, 2019 | 100 | 2019 |
Kinematic reliability analysis of robotic manipulator D Zhang, X Han ASME-Journal of Mechanical Design 142 (4), 044502, 2020 | 99 | 2020 |
An efficient method to reduce ill-posedness for structural dynamic load identification J Liu, XH Meng, D Zhang, C Jiang, X Han Mechanical Systems and Signal Processing 95, 273–285, 2017 | 97 | 2017 |
Forward and inverse structural uncertainty propagations under stochastic variables with arbitrary probability distributions J Liu, X Meng, C Xu, D Zhang, C Jiang Computer Methods in Applied Mechanics and Engineering 342, 287-320, 2018 | 91 | 2018 |
Time‐domain Galerkin method for dynamic load identification J Liu, X Meng, C Jiang, X Han, D Zhang International Journal for Numerical Methods in Engineering 105 (8), 620-640, 2016 | 90 | 2016 |
An active weight learning method for efficient reliability assessment with small failure probability Z Meng, Z Zhang, G Li, D Zhang Structural and Multidisciplinary Optimization 61 (3), 1157–1170, 2020 | 80 | 2020 |
A computational framework of kinematic accuracy reliability analysis for industrial robots J Wu, D Zhang, J Liu, X Jia, X Han Applied Mathematical Modelling 82, 189-216, 2020 | 69 | 2020 |
A stochastic process discretization method combing active learning Kriging model for efficient time-variant reliability analysis D Zhang, P Zhou, C Jiang, M Yang, X Han, Q Li Computer Methods in Applied Mechanics and Engineering 384, 113990, 2021 | 62 | 2021 |
On reliability analysis method through rotational sparse grid nodes J Wu, D Zhang, C Jiang, X Han, Q Li Mechanical Systems and Signal Processing 147, 107106, 2021 | 59 | 2021 |
A hybrid adaptive Kriging-based single loop approach for complex reliability-based design optimization problems M Yang, D Zhang, C Jiang, X Han, Q Li Reliability Engineering & System Safety 215, 107736, 2021 | 56 | 2021 |
Efficient local adaptive Kriging approximation method with single-loop strategy for reliability-based design optimization M Yang, D Zhang, F Wang, X Han Computer Methods in Applied Mechanics and Engineering 390, 114462, 2022 | 55 | 2022 |
An adaptive directional boundary sampling method for efficient reliability-based design optimization Z Meng, D Zhang, Z Liu, G Li ASME-Journal of Mechanical Design 140 (12), 121406, 2018 | 51 | 2018 |
Parallelotope-formed evidence theory model for quantifying uncertainties with correlation J Liu, LX Cao, C Jiang, BY Ni, D Zhang Applied Mathematical Modelling 77, 32-48, 2020 | 48 | 2020 |
Reliability-based design optimization for RV reducer with experimental constraint M Yang, D Zhang, C Cheng, X Han Structural and Multidisciplinary Optimization 63, 2047–2064, 2021 | 40 | 2021 |