REIF: a novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis

X Zhang, L Wang, JD Sørensen - Reliability Engineering & System Safety, 2019 - Elsevier
Structural reliability analysis is typically evaluated based on a multivariate function that
describes underlying failure mechanisms of a structural system. It is necessary for a …

Hybrid learning algorithm of radial basis function networks for reliability analysis

D Zhang, N Zhang, N Ye, J Fang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the wide application of industrial robots in the field of precision machining, reliability
analysis of positioning accuracy becomes increasingly important for industrial robots. Since …

AKOIS: an adaptive Kriging oriented importance sampling method for structural system reliability analysis

X Zhang, L Wang, JD Sørensen - Structural Safety, 2020 - Elsevier
A major issue in the structural reliability analysis is to determine an accurate estimation
result of the failure probability ideally based on a small number of model evaluations. In this …

A novel learning function based on Kriging for reliability analysis

Y Shi, Z Lu, R He, Y Zhou, S Chen - Reliability Engineering & System Safety, 2020 - Elsevier
Adaptively constructing the surrogate model for reliability analysis has been widely studied
for the advantage of guaranteeing the estimation accuracy while calling the real …

An advanced mixed-degree cubature formula for reliability analysis

D Zhang, S Shen, C Jiang, X Han, Q Li - Computer Methods in Applied …, 2022 - Elsevier
Efficient assessment of mechanical system reliability subject to arbitrary probability
distributions and dependent input parameters signifies an important yet challenging task. To …

On reliability analysis method through rotational sparse grid nodes

J Wu, D Zhang, C Jiang, X Han, Q Li - Mechanical Systems and Signal …, 2021 - Elsevier
This study aims to develop a rotational sparse grid (R-SPGR) method for statistical moment
evaluation and structural reliability analysis with enhanced accuracy and efficiency. The …

A new bivariate dimension reduction method for efficient structural reliability analysis

J Xu, C Dang - Mechanical Systems and Signal Processing, 2019 - Elsevier
This paper presents a new bivariate dimension reduction method (BDRM) for statistical
moments evaluation and structural reliability analysis with accuracy and efficiency. A high …

Kinematic reliability analysis of robotic manipulator

D Zhang, X Han - Journal of Mechanical Design, 2020 - asmedigitalcollection.asme.org
Kinematic reliability of robotic manipulators is the linchpin for restraining the positional errors
within acceptable limits. This work develops an efficient reliability analysis method to …

[HTML][HTML] A computational framework of kinematic accuracy reliability analysis for industrial robots

J Wu, D Zhang, J Liu, X Jia, X Han - Applied Mathematical Modelling, 2020 - Elsevier
A new computational method to evaluate comprehensively the positional accuracy reliability
for single coordinate, single point, multipoint and trajectory accuracy of industrial robots is …

Time-dependent kinematic reliability analysis of gear mechanism based on sequential decoupling strategy and saddle-point approximation

J Chen, L Chen, L Qian, G Chen, S Zhou - Reliability Engineering & System …, 2022 - Elsevier
Accurate and efficient reliability evaluation is critical to ensure the safety of gear mechanism.
This paper aims to develop an effective and practical method for time-dependent kinematic …