LES based urban dispersal predictions for consequence management
- Los Alamos National Laboratory
It is unlikely that we will ever have a deterministic predictive framework for the study of flows in urban scale scenarios purely based on computational fluid dynamics. This is due to the inherent difficulty in modeling and validating all relevant physical sub-processes and acquiring all the necessary and relevant boundary condition information. On the other hand, this case is representative of very fundamental ones for which whole-domain scalable laboratory (or field) studies are impossible or very difficult, but for which it is also crucial to develop predictability. In this paper, we discuss a framework for detailed dispersal predictions in urban and regional settings based on effective linkage of strong motion codes - capable of simulating detailed energetic and contaminant sources, and large-eddy simulation - capable of emulating contaminant transport due to wind and turbulence fields in built-up areas. Challenging technical aspects of the simulation approach are outlined and recent progress is reviewed in th is context.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC52-06NA25396
- OSTI ID:
- 960484
- Report Number(s):
- LA-UR-08-05009; LA-UR-08-5009; TRN: US201006%%1152
- Journal Information:
- Bulletin of the European Research Community on Flow, Turbulence, and Combustion, Journal Name: Bulletin of the European Research Community on Flow, Turbulence, and Combustion
- Country of Publication:
- United States
- Language:
- English
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