Structural reliability analysis and uncertainties‐based collaborative design and optimization of turbine blades using surrogate model
D Meng, S Yang, Y Zhang… - Fatigue & Fracture of …, 2019 - Wiley Online Library
In power and energy systems, both the aerodynamic performance and the structure
reliability of turbine equipment are affected by utilized blades. In general, the design process …
reliability of turbine equipment are affected by utilized blades. In general, the design process …
An efficient multi-objective optimization method based on the adaptive approximation model of the radial basis function
X Liu, X Liu, Z Zhou, L Hu - Structural and Multidisciplinary Optimization, 2021 - Springer
Considering the high computational cost caused by solving multi-objective optimization
(MOO) problems, an efficient multi-objective optimization method based on the adaptive …
(MOO) problems, an efficient multi-objective optimization method based on the adaptive …
Construction of probability box model based on maximum entropy principle and corresponding hybrid reliability analysis approach
X Liu, X Wang, J Xie, B Li - Structural and Multidisciplinary Optimization, 2020 - Springer
In this paper, a new method for constructing the probability box (p-box) model is developed
based on maximum entropy principle. The distribution characteristics of probability box …
based on maximum entropy principle. The distribution characteristics of probability box …
A novel methodology of reliability-based multidisciplinary design optimization under hybrid interval and fuzzy uncertainties
Various uncertainties exist in engineering practice, which brings adverse effects to the
reliability of complicated engineering systems. Considering the case that interval and fuzzy …
reliability of complicated engineering systems. Considering the case that interval and fuzzy …
Positioning accuracy reliability analysis of industrial robots considering epistemic uncertainty and correlation
L Cao, J Liu, J Zhang, C Jiang… - Journal of …, 2023 - asmedigitalcollection.asme.org
Uncertainties widely existing in modeling parameters, such as link length, joint clearance,
and rotation angle, have the serious impact on the motion performance of industrial robots …
and rotation angle, have the serious impact on the motion performance of industrial robots …
[HTML][HTML] Recent advances in polynomial chaos method for uncertainty propagation
X Fenfen, C Jiangtao, REN Chengkun, Z Li… - 中国舰船 …, 2021 - zgjcyj.xml-journal.net
Uncertainty exists widely in engineering design. As one of the key components of
engineering design, uncertainty propagation and quantification has always been an …
engineering design, uncertainty propagation and quantification has always been an …
Sequential multidisciplinary design optimization and reliability analysis under interval uncertainty
With the rapid development of modern technology and the rising demand for high reliability
in complex multidisciplinary engineering systems, more and more attention has been paid to …
in complex multidisciplinary engineering systems, more and more attention has been paid to …
Augmented first-order reliability method for estimating fuzzy failure probabilities
This paper presents an approach for estimating the fuzzy failure probability associated with
reliability problems where uncertainty is characterized through random variables whose …
reliability problems where uncertainty is characterized through random variables whose …
Interval reliability sensitivity analysis using Monte Carlo simulation and mouth brooding fish algorithm (MBF)
M Babazadeh, O Rezayfar, E Jahani - Applied Soft Computing, 2023 - Elsevier
In reliability analysis and reliability-based design approach, sensitivity analysis establishes
a relation between the variation in random variable parameters and that in reliability. The …
a relation between the variation in random variable parameters and that in reliability. The …
Efficient uncertainty propagation for parameterized p-box using sparse-decomposition-based polynomial chaos expansion
HB Liu, C Jiang, Z Xiao - Mechanical Systems and Signal Processing, 2020 - Elsevier
Uncertainty propagation (UP) is the process of determining the effect of input uncertainties
on a response of interest. These input uncertainties may be characterized as either aleatory …
on a response of interest. These input uncertainties may be characterized as either aleatory …