Results 101 to 110 of about 31,846 (223)

STOCHASTIC FINITE ELEMENT MODEL UPDATING BASED ON POLYNOMIAL CHAOTIC EXPANSION AND KL DIVERGENCE

Jixie qiangdu, 2021
Considering the influence of structural parameter uncertainty on response and the problem of large calculation of stochastic model updating, a stochastic finite element model updating method based on polynomial chaotic expansion and KL divergence is ...
XU ZeWei, PENG ZhenRui, ZHANG YaFeng, BAI Yu   +3 more
doaj  

A Dynamic BI–Orthogonal Field Equation Approach to Efficient Bayesian Inversion

International Journal of Applied Mathematics and Computer Science, 2017
This paper proposes a novel computationally efficient stochastic spectral projection based approach to Bayesian inversion of a computer simulator with high dimensional parametric and model structure uncertainty.
Tagade Piyush M., Choi Han-Lim
doaj   +1 more source

Reliability-Based Design Optimization Applied to a Rotor Supported by Hydrodynamic Bearings

Machines
Rotating machines are an important part of industrial equipment. It is essential to improve their performance while reducing the manufacturing, operating, and maintenance costs.
Helio Fiori de Castro, Eduardo Henrique de Paula, Laís Bittencourt Visnadi   +2 more
doaj   +1 more source

Quantifying uncertainty in robotics trajectories: A time-dependent approach using polynomial chaos expansion

AIP Advances
In today’s industrial context, maintaining precision in automated systems, particularly in high-degree-of-freedom robotic manipulators, is critical for achieving optimal performance and computational efficiency.
Keenjhar Ayoob, Tayyab Zafar, Amir Hamza, Zhonglai Wang   +3 more
doaj   +1 more source

Reliability polynomial chaos metamodel for the dynamic behaviour of reinforced concrete bridges

Advances in Bridge Engineering
The approximation of complex engineering problems and mathematical regressions serves as the authentic inspiration behind the artificial intelligence metamodeling methods.
Hicham Lamouri, Mouna EL Mkhalet, Nouzha Lamdouar   +2 more
doaj   +1 more source

Polynomial chaos expansion for sensitivity analysis of two types of transmission line models

AIP Advances
This paper presents two sensitivity analyses, one of which is for the time-domain transmission line (TL) model using the latest weight-based algorithm that is a combination of the coherence-optimal sampling (COS) and the l1-minimum problem (l1-M) and the
Weiwei Chen, Ziyang Qi, Yuhang Ji, Liping Yan, Xiang Zhao   +4 more
doaj   +1 more source

Gaussian Processes and Polynomial Chaos Expansion for Regression Problem: Linkage via the RKHS and Comparison via the KL Divergence. [PDF]

Entropy (Basel), 2018
Yan L, Duan X, Liu B, Xu J.
europepmc   +1 more source

Polynomial chaos expansions in 90 minutes

, 2021
openaire   +3 more sources

Exploiting Polynomial Chaos Expansion for Rapid Assessment of the Impact of Tissue Property Uncertainties in Low-Intensity Focused Ultrasound Stimulation. [PDF]

Bioelectromagnetics
Sumser K, Mestrom R, Tuysuz YE, Paulides MM.   +3 more
europepmc   +1 more source

Efficient metamodeling and uncertainty propagation for rotor systems by sparse polynomial chaos expansion

Probabilistic Engineering Mechanics
Ben Xu, Xiao-min Yang, A. Zou, C. Zang
semanticscholar   +1 more source