预测具有不确定性的湍流风中板状风载碎片的轨迹

IF 2.7 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Infrastructures Pub Date : 2023-12-15 DOI:10.3390/infrastructures8120180
Feng Wang, Peng Huang, Rongxin Zhao, Huayong Wu, Mengjin Sun, Zijie Zhou, Yun Xing
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引用次数: 0

摘要

碎片会带来多方面的风险,危害环境、人类健康、安全和基础设施的各个方面。由于湍流风固有的随机性,碎片在湍流风流中的轨迹更加分散。本文通过数值模拟的方法研究了板状风载碎片在湍流风场中的三维轨迹。本文建立了板状风载碎片的三维概率轨迹模型。通过求解碎片运动的支配方程,并根据风洞中测得的近地风场引入湍流风流,对碎片轨迹进行数值计算,以考虑碎片轨迹的概率特征。碎片轨迹的无量纲速度和位移与风洞试验的实验数据显示出良好的一致性,证实了概率轨迹模型的合理性。基于验证的轨迹模型,详细分析了五种不同风攻角下碎片撞击位置、撞击速度和动能、碎片角位移和角速度的概率特征。所提出的板状碎片在湍流风流中的概率模型为预测碎片在三维空间中的运动轨迹提供了准确有效的方法。
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Predicting Trajectories of Plate-Type Wind-Borne Debris in Turbulent Wind Flow with Uncertainties
Debris poses multifaceted risks and jeopardizes various aspects of the environment, human health, safety, and infrastructure. The debris trajectory in turbulent wind flow is more dispersed due to the inherent randomness of the turbulent winds. This paper investigates the three-dimensional trajectories of plate-type wind-borne debris in turbulent wind fields via the method of numerical simulation. A 3D probabilistic trajectory model of plate-type wind-borne debris is developed. The debris trajectories are numerically calculated by solving the governing equation of debris motion and by introducing turbulent wind flows based on the near-ground wind field measured in the wind tunnel to account for the probability characteristics of the debris trajectory. The dimensionless velocities and displacements of the debris trajectory show good agreement with the experimental data in wind tunnel tests, confirming the rationality of the probabilistic trajectory model. Based on the validated trajectory model, the probability characteristics of the debris impact position, impact velocity, and kinetic energy, debris angular displacement, and angular velocity are analyzed in detail under five different wind attack angles. The proposed probabilistic model of plate-type debris in turbulent wind flow provides an accurate and effective method for predicting debris trajectory in three-dimensional space.
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来源期刊
Infrastructures
Infrastructures Engineering-Building and Construction
CiteScore
5.20
自引率
7.70%
发文量
145
审稿时长
11 weeks
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