Browse > Article
http://dx.doi.org/10.12989/was.2016.22.1.017

Numerical simulation of 3-D probabilistic trajectory of plate-type wind-borne debris  

Huang, Peng (State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University)
Wang, Feng (State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University)
Fu, Anmin (State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University)
Gu, Ming (State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University)
Publication Information
Wind and Structures / v.22, no.1, 2016 , pp. 17-41 More about this Journal
Abstract
To address the uncertainty of the flight trajectories caused by the turbulence and gustiness of the wind field over the roof and in the wake of a building, a 3-D probabilistic trajectory model of flat-type wind-borne debris is developed in this study. The core of this methodology is a 6 degree-of-freedom deterministic model, derived from the governing equations of motion of the debris, and a Monte Carlo simulation engine used to account for the uncertainty resulting from vertical and lateral gust wind velocity components. The influence of several parameters, including initial wind speed, time step, gust sampling frequency, number of Monte Carlo simulations, and the extreme gust factor, on the accuracy of the proposed model is examined. For the purpose of validation and calibration, the simulated results from the 3-D probabilistic trajectory model are compared against the available wind tunnel test data. Results show that the maximum relative error between the simulated and wind tunnel test results of the average longitudinal position is about 20%, implying that the probabilistic model provides a reliable and effective means to predict the 3-D flight of the plate-type wind-borne debris.
Keywords
probabilistic trajectory model; plate-type wind-borne debris; turbulent wind field; random gust; Monte-Carlo simulation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Cline, M.B. and Pai, D.K. (2003), "Post-stabilization for rigid body simulation with contact and constraints". Proceedings of the IEEE International Conference on Robotics and Automation, IEEE International Conference on.
2 Fu, A.M., Huang, P. and Gu, M. (2013), "Numerical model of three-dimensional motion of plate-type wind-borne debris based on quaternions and its improvement in unsteady flow", Appl.Mech. Mater., 405-408, 2399-2408.   DOI
3 Grayson, J.M., Pang, W.C. and Schiff, S. (2012), "Three-dimensional probabilistic wind-borne debris trajectory model for building envelope impact risk assessment", J. Wind Eng. Ind. Aerod., 102, 22-35.   DOI
4 Kakimpa, B., Hargreaves, D.M. and Owen, J.S. (2012), "An investigation of plate-type windborne debris flight using coupled CFD-RBD models, Part II: Free and constrained flight", J. Wind Eng. Ind. Aerod., 111, 104-116.   DOI
5 Kareem, A. (1986), "Performance of cladding in Hurricane Alicia", J. Struct. Eng., 112(12), 2679-2693.   DOI
6 Kordi, B., Traczuk, G. and Kopp, G.A. (2010), "Effects of wind direction on the flight trajectories of roof sheathing panels under high winds", Wind Struct., 13(2), 145-167.   DOI
7 Kordi, B. and Kopp, G.A. (2011), "Effects of initial conditions on the flight of windborne plate debris", J. Wind Eng. Ind. Aerod., 99(5), 601-614.   DOI
8 Lee, B.E. (1988), "Engineering design for extreme winds in Hong Kong", Hong Kong Eng., 16(4), 15-23.
9 Lin N., Letchford, C. and Holmes, J. (2006), "Investigation of plate-type windborne debris. Part I: Experiments in wind tunnel and full scale", J. Wind Eng. Ind. Aerod., 94(2), 51-76.   DOI
10 Minor, J.E. (1994), "Windborne debris and the building envelope", J. Wind Eng. Ind. Aerod., 53, 207-227.   DOI
11 Moghim, F. and Caracoglia, L. (2012), "A numerical model for wind-borne compact debris trajectory estimation: Part 2-Simulated vertical gust effects on trajectory and mass momentum", Eng. Struct., 38, 163-170.   DOI
12 National Association of Home Builders (NAHB) Research Center (2002), Wind-borne Debris Impact Resistance of Residential Glazing. U.S. Department of Housing and Urban Development, Office of Policy Development and Research, Cooperative Agreement H-21172CA, Washington, D.C., USA.
13 Noda, M. and Nagao, F. (2010), "Simulation of 6DOF motion of 3D flying debris", Proceedings of the 5th International Symposium on Computational Wind Engineering (CWE2010), Chapel Hill, North Carolina, USA.
14 Richards, P.J., Williams, N., Laing, B. et al. (2008), "Numerical calculation of the three-dimensional motion of wind-borne debris", J. Wind Eng. Ind. Aerod., 96(10-11), 2188-2202.   DOI
15 Visscher, B.T. and Kopp, G.A. (2007), "Trajectories of roof sheathing panels under high winds", J. Wind Eng. Ind. Aerod., 95, 697-713.   DOI
16 Roache, P.J. (1997), "Quantification of uncertainty in computational fluid dynamics", Annu. Review Fluid Mech., 29(1), 123-160.   DOI
17 Simiu, E. and Scanlan, R.H. (1996), Wind effects on structures, New York, NY, USA: John Wiley and Sons.
18 Tachikawa, M. (1988), "A method for estimating the distribution range of trajectories of wind-borne missiles", J. Wind Eng. Ind. Aerod., 29, 175-184.   DOI
19 Warga, J. (1976), Derivate containers, inverse functions, and controllability, Calculus of Variations and Control Theory, DL Russell, Ed., Academic Press, New York, 13-46.
20 Wills, J.A.B., Lee, B.E. and Wyatt, T.A. (2002), "A model of windborne debris damage", J. Wind Eng. Ind. Aerod., 90, 555-565.   DOI