Calibration and validation framework for selective laser melting process based on multi-fidelity models and limited experiment data
There are significant quality and reliability problems for components/products made by
additive manufacturing (AM) due to various reasons. Selective laser melting (SLM) process …
additive manufacturing (AM) due to various reasons. Selective laser melting (SLM) process …
An adaptive polynomial chaos expansion for high-dimensional reliability analysis
W He, Y Zeng, G Li - Structural and Multidisciplinary Optimization, 2020 - Springer
Efficiency is greatly concerned in reliability analysis community, especially for the problems
with high-dimensional input random variables, because the computation cost of common …
with high-dimensional input random variables, because the computation cost of common …
An efficient reliability method combining adaptive global metamodel and probability density evolution method
An efficient reliability method, ie, AGM-PDEM, is presented which combines the adaptive
global metamodel (AGM) and the probability density evolution method (PDEM). The global …
global metamodel (AGM) and the probability density evolution method (PDEM). The global …
An improved maximum entropy method via fractional moments with Laplace transform for reliability analysis
G Li, W He, Y Zeng - Structural and Multidisciplinary Optimization, 2019 - Springer
The fractional moment-based maximum entropy method (FM-MEM) attracts more and more
attention in reliability analysis recently, comparing with the common integer moment-based …
attention in reliability analysis recently, comparing with the common integer moment-based …
Polynomial Chaos-Kriging approaches for an efficient probabilistic chatter prediction in milling
G Totis, M Sortino - International Journal of Machine Tools and …, 2020 - Elsevier
After more that 60 years of investigation, chatter vibrations in metal cutting are still a major
cause for poor surface finish and machine tool damage. In order to avoid undesired …
cause for poor surface finish and machine tool damage. In order to avoid undesired …
Active learning and active subspace enhancement for PDEM-based high-dimensional reliability analysis
An efficient reliability method, termed as the AL-AS-GPR-PDEM, is proposed in this study,
which effectively combines the probability density evolution method (PDEM) and the …
which effectively combines the probability density evolution method (PDEM) and the …
Relaxation-based importance sampling for structural reliability analysis
This study presents an importance sampling formulation based on adaptively relaxing
parameters from the indicator function and/or the probability density function. The …
parameters from the indicator function and/or the probability density function. The …
Model-based reliability analysis with both model uncertainty and parameter uncertainty
Z Xi - Journal of Mechanical Design, 2019 - asmedigitalcollection.asme.org
Model-based reliability analysis may not be practically useful if reliability estimation contains
uncontrollable errors. This paper addresses potential reliability estimation errors from model …
uncontrollable errors. This paper addresses potential reliability estimation errors from model …
An efficient uncertainty quantification and propagation method through skewness and kurtosis fitting region
Traditional methods for structural uncertainty problems with nonconventional distributions
involve a significant computational burden, attributed to the nonlinear increase of structures …
involve a significant computational burden, attributed to the nonlinear increase of structures …
Quantile-based sequential optimization and reliability assessment for shape and topology optimization of plane frames using L-moments
Uncertainty is inevitable in the real physical world, and it is necessary to take into account its
effects on the structural design and optimization processes. In this study a reliability-based …
effects on the structural design and optimization processes. In this study a reliability-based …