arXiv subjects

Weijia Qian

Publications and source records attributed to Weijia Qian.

2 recordsLinked to original sources

arXiv2026

Endwall and leading-edge film cooling of turbine blades in a hydrogen-fueled rotating detonation combustor-turbine coupled system

This study performs a three-dimensional numerical simulation of the coupled flow field in a hydrogen-air rotating detonation combustor (RDC)-turbine system to evaluate the effectiveness of different film cooling strategies for the turbine blades. The results demonstrate that combining the endwall cooling with leading-edge film cooling effectively reduces blade surface temperatures while improving turbine flow field stability and blade protection. For endwall cooling, numerical simulations compare circular and slot hole configurations. Circular holes consume less cooling air than slot holes while maintaining comparable cooling performance, making them the preferred choice. For the leading-edge film cooling, both the vertical and the vertical-inclined schemes are examined. The vertical-inclined scheme demonstrates higher cooling efficiency and improved secondary flow attachment, ensuring greater stability under the oscillatory effects of the detonation flow. Additionally, the flow fields of film-cooled turbine blades with and without the propagation of the rotating detonation wave are compared, revealing that the upstream rotating detonation flow field facilitates the downstream diffusion of secondary film cooling jets.

physics.flu-dyn↗

arXiv2025

Functional Accelerated Failure Time Models for Predicting Time Since Cannabis Use

Cannabis consumption impairs key driving skills and increases crash risk, yet few objective, validated tools exists to identify acute cannabis use or impairment in traffic safety settings. Pupil response to light has emerged as a promising biomarker of recent cannabis use, but its predictive utility remains underexplored. We propose two functional accelerated failure time (AFT) models for predicting time since cannabis use from pupil light response curves. The linear functional AFT (lfAFT) model provides a simple and interpretable framework that summarizes the overall contribution of a functional covariate to time-since-smoking, while the additive functional AFT (afAFT) model generalizes this structure by allowing effects to vary flexibly with both magnitude and location of the functional covariate. Estimation is computationally efficient and straightforward to implement. Simulation studies show that the proposed methods achieve strong estimation accuracy and predictive performance across various scenarios and remain robust to moderate model misspecification. Application to pupillometry data from the Colorado Cannabis & Driving Study demonstrates that pupil light response curves contain meaningful predictive signal, underscoring the potential of these models for traffic safety and broader biomedical applications.

stat.ME↗