Quantification analysis of high-speed train aerodynamics with geometric uncertainty of streamlined shape

IF 4 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS International Journal of Numerical Methods for Heat & Fluid Flow Pub Date : 2024-11-28 DOI:10.1108/hff-06-2024-0454
Hongkang Liu, Qian Yu, Yongheng Li, Yichao Zhang, Kehui Peng, Zhiqiang Kong, Yatian Zhao
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Abstract

Purpose

This study aims to get a better understanding of the impact of streamlined high-speed trains (HSTs) with geometric uncertainty on aerodynamic performance, as well as the identification of the key parameters responsible for this impact. To reveal the critical parameters, this study creates a methodology for evaluating the uncertainty and sensitivity of drag coefficient induced by design parameters of HST streamlined shapes.

Design/methodology/approach

Bézier curves are used to parameterize the streamlined shape of HSTs, and there are eight design parameters required to fit the streamlined shape, followed by a series of steady Reynolds-averaged Navier–Stokes simulations. Combining the preparation work with the nonintrusive polynomial chaos method results in a workflow for uncertainty quantification and global sensitivity analysis. Based on this framework, this study quantifies the uncertainty of drag, pressure, surface friction coefficient and wake flow characteristics within the defined ranges of streamline shape parameters, as well as the contribution of each design parameter.

Findings

The results show that the change in drag reaches a maximum deviation of 15.37% from the baseline, and the impact on the tail car is more significant, with a deviation of up to 23.98%. The streamlined shape of the upper surface and the length of the pilot (The device is mounted on the front of a train’s locomotive and primarily serves to remove obstacles from the tracks, thereby preventing potential derailment.) are responsible for the dominant factors of the uncertainty in the drag for HSTs. Linear regression results show a significant quadratic polynomial relationship between the length of the pilot and the drag coefficient. The drag declines as the length of the pilot enlarges. By analyzing the case with the lowest drag, the positive pressure area in the front of pilot is greatly reduced, while the nose tip pressure of the tail is enhanced by altering the vortices in the wake. The counter-rotating vortex pair is significantly attenuated. Accordingly, exerts the impacts caused by geometric uncertainty can be found on the wake flow region, with pressure differences of up to 900 Pa. The parameters associated with the shape of the upper surface contribute significantly to the uncertainty in the core of the wake separation region.

Originality/value

The findings contribute to a better understanding of the impact of streamlined HSTs with geometric uncertainty on aerodynamic performance, as well as the identification of the key parameters responsible for this impact. Based on this study, future research could delve into the detailed design of critical areas in the streamlined shape of HSTs, as well as the direction of shape optimization to more precisely and efficiently reduce train aerodynamic drag under typical conditions.

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具有流线型几何不确定性的高速列车空气动力学量化分析
目的 本研究旨在更好地了解具有几何不确定性的流线型高速列车(HST)对空气动力性能的影响,并确定造成这种影响的关键参数。为了揭示关键参数,本研究创建了一种方法,用于评估 HST 流线型设计参数引起的阻力系数的不确定性和敏感性。设计/方法/途径贝塞尔曲线用于 HST 流线型的参数化,有八个设计参数需要拟合流线型,然后进行一系列稳定的雷诺平均纳维-斯托克斯模拟。将准备工作与非侵入式多项式混沌法相结合,就形成了不确定性量化和全局敏感性分析的工作流程。基于这一框架,本研究量化了流线形状参数定义范围内阻力、压力、表面摩擦系数和尾流特性的不确定性,以及各设计参数的贡献。上表面的流线型形状和先导装置的长度(先导装置安装在列车机车的前部,主要作用是清除轨道上的障碍物,从而防止潜在的脱轨。线性回归结果显示,引航员长度与阻力系数之间存在显著的二次多项式关系。阻力随着飞行员长度的增加而减小。通过分析阻力最小的情况,引航员前部的正压区大大减小,而尾部的鼻尖压力则通过改变尾流中的涡流而增大。反向旋转涡流对明显减弱。因此,几何不确定性会对尾流区域产生影响,压力差可达 900 Pa。与上表面形状相关的参数在很大程度上导致了尾流分离区域核心的不确定性。 原创性/价值研究结果有助于更好地理解具有几何不确定性的流线型 HST 对气动性能的影响,以及确定造成这种影响的关键参数。在此研究的基础上,未来的研究可以深入探讨 HST 流线型关键区域的详细设计,以及形状优化的方向,以便在典型条件下更精确、更有效地降低列车的气动阻力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.50
自引率
11.90%
发文量
100
审稿时长
6-12 weeks
期刊介绍: The main objective of this international journal is to provide applied mathematicians, engineers and scientists engaged in computer-aided design and research in computational heat transfer and fluid dynamics, whether in academic institutions of industry, with timely and accessible information on the development, refinement and application of computer-based numerical techniques for solving problems in heat and fluid flow. - See more at: http://emeraldgrouppublishing.com/products/journals/journals.htm?id=hff#sthash.Kf80GRt8.dpuf
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