Wind Field Synthesis for Animating Wind-induced Vibration

We present a simple method to generate three-dimensional frozen and non-frozen turbulent wind fields for use in the animation of wind-induced motion. Our approach uses 1/f noise to match the characteristics of natural wind. By employing a noise-based approach, the complexity as well as computational cost is reduced. Additionally, by considering key characteristics of actual wind that are applied in the structural engineering field, our proposed method is able to produce plausible results in outdoor wind field simulations. In this paper, we describe the implementation results of our proposed method and compare them with other existing approaches used to construct turbulent wind fields. The implementation and visualization are carried out for both twoand three-dimensional scenarios and compared with the results of other well-known methods.

[1]  Ares Lagae,et al.  A Survey of Procedural Noise Functions , 2010, Comput. Graph. Forum.

[2]  Norishige Chiba,et al.  Pseudo‐dynamics model of a cantilever beam for animating flexible leaves and branches in wind field , 2009, Comput. Animat. Virtual Worlds.

[3]  Ken Perlin,et al.  [Computer Graphics]: Three-Dimensional Graphics and Realism , 2022 .

[4]  C. Sparrow The Fractal Geometry of Nature , 1984 .

[5]  Dimitris N. Metaxas,et al.  Modeling the motion of a hot, turbulent gas , 1997, SIGGRAPH.

[6]  Alain Fournier,et al.  Stochastic Motion—Motion Under the Influence of Wind , 1992, Comput. Graph. Forum.

[7]  Norishige Chiba,et al.  A hybrid method for real-time animation of trees swaying in wind fields , 2004, The Visual Computer.

[8]  Richard F. Voss,et al.  Fractals in nature: from characterization to simulation , 1988 .

[9]  Jos Stam,et al.  Stable fluids , 1999, SIGGRAPH.

[10]  Heinz-Otto Peitgen,et al.  The science of fractal images , 2011 .

[11]  David Salesin,et al.  Animating pictures with stochastic motion textures , 2005, SIGGRAPH 2005.

[12]  J. Højstrup,et al.  Modelling velocity spectra in the lower part of the planetary boundary layer , 1984 .

[13]  Jos Stam,et al.  Stochastic Dynamics: Simulating the Effects of Turbulence on Flexible Structures , 1997 .

[14]  J. D. Holmes,et al.  Wind Loading of Structures , 2001 .

[15]  L. Manuel,et al.  A Comparison of Standard Coherence Models for Inflow Turbulence With Estimates from Field Measurements , 2004 .

[16]  Jakub Wejchert,et al.  Animation aerodynamics , 1991, SIGGRAPH.

[17]  Meng Sun,et al.  Video input driven animation (VIDA) , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[18]  Eugene Fiume,et al.  Turbulent wind fields for gaseous phenomena , 1993, SIGGRAPH.

[19]  Chun Chen,et al.  Efficient rendering of breaking waves using MPS method , 2006 .

[20]  Michael Wimmer,et al.  Physically Guided Animation of Trees , 2009, Comput. Graph. Forum.