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CHEN Guoxing, TANG Hao, LIU Ji. 3D visualization for earthquake-induced site liquefaction potential based on volume rendering and GIS technology[J]. Chinese Journal of Geotechnical Engineering, 2008, 30(4): 584-590.
Citation: CHEN Guoxing, TANG Hao, LIU Ji. 3D visualization for earthquake-induced site liquefaction potential based on volume rendering and GIS technology[J]. Chinese Journal of Geotechnical Engineering, 2008, 30(4): 584-590.

3D visualization for earthquake-induced site liquefaction potential based on volume rendering and GIS technology

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  • Published Date: April 14, 2008
  • The researches on visual 3D modeling for the earthquake-induced site liquefaction potential are to resolve the problem of simulating the potential risk of earthquake-induced site liquefaction spatially by 3D reality graphics.And it could be applied to the urban earthquake prevention and disaster mitigation.Firstly,the empirical equation of cyclic resistance ratio of saturated sands with different probability levels was utilized to evaluate the earthquake-induced site liquefaction potential.Secondly,a "block" data structure was adopted to describe the 3D liquefaction potential entity.Thirdly,visual 3D visualization modeling for the earthquake-induced site liquefaction potential could be realized based on the Kriging interpolation method and volume rendering technique.It was shown that:(1) When the 3D liquefaction potential entity was partitioned by the "block" data model,the Kriging method can be adopted to realize 3D interpolation.Therefore,the latent distribution of the site liquefaction potential beyond the observation boreholes could be evaluated.(2) Based on the probability evaluation results and volume rendering technique,the Kriging interpolation results were displayed in different color marks to indicate the risk extent of the site liquefaction potential.Thereby,the spatial distributing characteristics and variety trend of the site liquefaction potential could be displayed in 3D graphic form.And also,the 2D profile section and 3D body incision could be generated automatically.
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