Aviation fuel gear pumps are prone to accelerated wear of friction pairs during long-term high-load operation, generating metallic particles that contaminate the sliding bearing oil film and trigger abrasive wear. To address this, a coupling solution of the discrete element method (DEM) with a two-phase flow lubricat...
Xian-Wei Liu, De-Qing Zhou, Wen-Bo Zhang et al.· Proceedings of the Instituti...· 0 citations
The probability integral transform (PIT) converts the stochastic simulator into a deterministic map of distribution-free latent variables and epistemic parameters, and Transitional Markov Chain Monte Carlo (TMCMC) is then employed for posterior inference and model evidence estimation.
Quantifying the influence of hybrid aleatory and epistemic uncertainties on high-dimensional system responses remains a major challenge in global sensitivity analysis (GSA). Existing Hilbert--Schmidt Independence Criterion (HSIC)-based approaches are primarily restricted to single-output settings and lack a rigorous de...
In hybrid uncertainty quantification, evaluating how aleatory sensitivities vary under epistemic uncertainty, referred to as conditional Sobol'indices, is typically hindered by the computationally expensive double-loop procedure. Classical Polynomial Chaos Expansion (PCE) provides efficient access to global sensitivity...
We introduce the Directional Kernel Mean Difference (DKMD), a signed statistic for univariate distribution comparison that preserves the direction of distributional shifts. Unlike the squared Maximum Mean Discrepancy (MMD), which discards directional information by squaring the RKHS distance, DKMD integrates the differ...
Shijie Zhong, Jiangfeng Fu· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
