Predicting Trajectories of Plate-Type Wind-Borne Debris in Turbulent Wind Flow with Uncertainties
-
Published:2023-12-15
Issue:12
Volume:8
Page:180
-
ISSN:2412-3811
-
Container-title:Infrastructures
-
language:en
-
Short-container-title:Infrastructures
Author:
Wang Feng1ORCID, Huang Peng2ORCID, Zhao Rongxin1, Wu Huayong1, Sun Mengjin1, Zhou Zijie1, Xing Yun1
Affiliation:
1. Shanghai Key Laboratory of Engineering Structure Safety, SRIBS, Shanghai 200032, China 2. State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China
Abstract
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.
Funder
Shanghai Sailing Program Scientific Research Project Plan of Shanghai Municipal Commission of Housing and Urban–Rural Development Program of Shanghai Academic/Technology Research Leader
Subject
Computer Science Applications,Geotechnical Engineering and Engineering Geology,General Materials Science,Building and Construction,Civil and Structural Engineering
Reference35 articles.
1. Shu, E.G., Pope, M., Wilson, B., Bauer, M., Amodeo, M., Freeman, N., and Porter, J.R. (2023). Assessing Property Exposure to Cyclonic Winds under Climate Change. Climate, 11. 2. Papathoma-Köhle, M., Ghazanfari, A., Mariacher, R., Huber, W., Lücksmann, T., and Fuchs, S. (2023). Vulnerability of Buildings to Meteorological Hazards: A Web-Based Application Using an Indicator-Based Approach. Appl. Sci., 13. 3. Kim, J.-M., Kim, T., Son, K., Yum, S.-G., and Ahn, S. (2019). Measuring Vulnerability of Typhoon in Residential Facilities: Focusing on Typhoon Maemi in South Korea. Sustainability, 11. 4. Allarané, N., Azagoun, V.V.A., Atchadé, A.J., Hetcheli, F., and Atela, J. (2023). Urban Vulnerability and Adaptation Strategies against Recurrent Climate Risks in Central Africa: Evidence from N’Djaména City (Chad). Urban Sci., 7. 5. Xue, L., Li, Y., and Yao, S. (2023). A Statistical Analysis of Tropical Cyclone-Induced Low-Level Winds near Taiwan Island. Atmosphere, 14.
|
|