About
-Explore different ways of visualizing 3D data such as Computational Fluid Dynamics (CFD) simulations - in urban enviroments in your web-browswer. Select a visualization scheme below and interactively explore - the content using the CesiumJS .
+Explore different ways of visualizing 3D data such as Computational Fluid Dynamics + (CFD) simulations + in urban enviroments in your web-browser. Select a visualization scheme below and interactively explore + the content using CesiumJS .
Contact
@@ -50,14 +53,15 @@
+
+ 
Urban Visualization Platform
-On this platform an overview of different visualizations for a variety of (3D) data is provided.
- -The examples shown here were mainly created during the iCity research projects at HFT Stuttgart (University of - Applied Sciences Stuttgart). -
Hexgrid 3D Tiles (15m)
+Wind in Stuttgart, Kernerviertel
-
+ 
Wind pressure at roof top height, shown as a floating 3D Tiles hexgrid (hexagon width 15m).
+Visualisation of wind around three target buildings (red) near a church with + spire and surrounded by numerous building layers (colors). The streamlines results from a + Computational Fluid Dynamic simulation of the air flow with RANS (Reynold-Averaged Navier Stokes + Equations) and the k-omega SST Turbulence model.
+Hexgrid 3D Tiles (2m)
+Wind in Stuttgart, Kernerviertel
-
+ 
Wind pressure at roof top height, shown as a floating 3D Tiles Hexgrid (hexagon width 2m).
+Wind visualisation with particles around three target buildings (red) near a + church with spire and surrounded by numerous building layers (colors). The streamlines results from + a Computational Fluid Dynamic simulation of the air flow with RANS (Reynold-Averaged Navier Stokes + Equations) and the k-omega SST Turbulence model.
+Hexgrid GeoJSON (5m)
+Wind in Stuttgart, Kernerviertel
-
+ 
Wind pressure at roof top height, Hexgrid (hexagon width 5m) is clamped to ground and buildings.
+Wind visualisation with particles around three target buildings (red) near a + church with spire and surrounded by numerous building layers (colors). The streamlines results from + a Computational Fluid Dynamic simulation of the air flow with RANS (Reynold-Averaged Navier Stokes + Equations) and the k-omega SST Turbulence model.
+
Wind pressure around a building block visualzied as a point cloud. Color represents different pressure values according to legend.
+Wind pressure around a building block visualzied as a point cloud. Color + represents different pressure values according to legend.
Streamlines (3D Tiles)
+Streamlines with particles
-
+ 
Streamlines showing wind flow over and around a building block and parts of Stoeckach. Wind speed is encoded as color information as of the legend.
+Multipart streamlines with vertex coloring showing also particles moving along + the streamslines in order to give a better impression of the wind field.
+Multi-Color/Part Streamlines
Wind speed around a building block visualzied using Cesium multicolor multi-part lines primitives. Color represents different wind speeds, values according to legend.
+Wind speed around a building block visualzied using Cesium multicolor multi-part + lines primitives. Color represents different wind speeds, values according to legend.
WindowDetection on Buildings
- -
- Showing results from automatic window detection from LiDaR point clouds. Results are shown on top of 3D building models and the original point cloud.
- -Hexgrid GeoJSON (5m)
+ +
+ Wind pressure at roof top height, Hexgrid (hexagon width 5m) is clamped to + ground and buildings.
+Streamlines with particles
- -
- Multipart streamlines with vertex coloring showing also particles moving along the streamslines in order to give a better impression of the wind field.
- -Streamlines (3D Tiles)
+ +
+ Streamlines showing wind flow over and around a building block and parts of + Stoeckach. Wind speed is encoded as color information as of the legend.
+Wind in Stuttgart, Kernerviertel
- -
- Visualisation of wind around three target buildings (red) near a church with spire and surrounded by numerous building layers (colors). The streamlines results from a Computational Fluid Dynamic simulation of the air flow with RANS (Reynold-Averaged Navier Stokes Equations) and the k-omega SST Turbulence model.
- -Hexgrid 3D Tiles (2m)
+ +
+ Wind pressure at roof top height, shown as a floating 3D Tiles Hexgrid (hexagon + width 2m).
+Wind in Stuttgart, Kernerviertel (Partikel)
- -
- Wind visualisation with particles around three target buildings (red) near a church with spire and surrounded by numerous building layers (colors). The streamlines results from a Computational Fluid Dynamic simulation of the air flow with RANS (Reynold-Averaged Navier Stokes Equations) and the k-omega SST Turbulence model.
- -Hexgrid 3D Tiles (15m)
+ +
+ Wind pressure at roof top height, shown as a floating 3D Tiles hexgrid (hexagon + width 15m).
Wind in Stuttgart, Kernerviertel (Partikel)
- -
- Wind visualisation with particles around three target buildings (red) near a church with spire and surrounded by numerous building layers (colors). The streamlines results from a Computational Fluid Dynamic simulation of the air flow with RANS (Reynold-Averaged Navier Stokes Equations) and the k-omega SST Turbulence model.
- -Under construction
- -
- Under construction
- -WindowDetection on Buildings
+ +
+ Showing results from automatic window detection from LiDaR point clouds. + Results are shown on top of 3D building models and the original point cloud.
+ +