Real-time simulation of dust behavior generated by a fast traveling vehicle

Chen, Jim X.; Fu, Xiadong; Wegman, J.

doi:10.1145/333296.333366

Cited by 31 publications

(14 citation statements)

References 20 publications

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“…In part this is closely aligned with density methods discussed in the previous section because densities are a representation of data when the overplotting is too severe. Items 2, , 7,11,12,13,14,15,16,18,19,21,24,25,26,27,28,34,35,39,40,41,42,44,45,46,47,50,51,52,54,55,66,69,70, and 71 are all items related to data visualization and computer graphics. Perhaps the most important results here fall into two categories: 1) visual data mining and 2) low cost immersive environments.…”

Section: Research Tasks and Resultsmentioning

confidence: 99%

Final Report on Massive Data Sets: Visualization and Analysis

Wegman¹

2002

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Public Reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comment regarding this burden estimates or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188,) Washington, DC 20503.

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Section: Research Tasks and Resultsmentioning

confidence: 99%

Final Report on Massive Data Sets: Visualization and Analysis

Wegman¹

2002

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“…By creating a near-field model of dust raised by vehicles on unpaved roads, Tong et al [7] described the dispersion of raised dust based on the Lagrangian method, and verified the validity of the model through field tests. After dividing the dust behavior into three stages, Chen et al [8] built a simplified particles system model for each stage. They simulated the vehicle-raised dust dispersion on unpaved roads in real time through a combination of particles system, CFD and behavioral simulation techniques.…”

Section: Introductionmentioning

confidence: 99%

Study of Spatial Distribution Characteristics for Dust Raised by Vehicles in Battlefield Environments Using CFD

et al. 2021

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For a pulsed laser transmitted in the raised dust from battlefield vehicle movement, the premise of obtaining its transmission properties and anti-jamming method is to acquire the spatial distribution rules of dust mass concentration. In this study, the emission mechanism for vehicle-raised dust in the battlefield environment is analyzed, as well as various influencing factors of the dust emission velocity. A finite volume method (FVM)-based model for simulating the spatial dispersion of dust raised by a certain moving tank is built, and the effects of mass flow rate, traveling speed, wind speed and wind direction on the spatial distribution of dust mass concentration are explored in the battlefield environment. The results show that the raised dust is plume-shaped within the computational domain, and the spatial mass concentration of plume is positively correlated with the mass flow rate. Besides, it is necessary to determine the impact of tank travelling speed on the spatial mass concentration of dust based on the relationship between the travelling speed and the dust mass flow rate. Although front wind reduces the spatial mass concentration of dust plumes, the reduction rate decelerates when the wind speed exceeds 4 m/s. Crosswind leads to the deflection and decreased mass concentration of dust plumes. Under varying wind directions, the variation of crosswind component exerts a more pronounced influence on the spatial mass concentration of dust than that of the front wind component. This study provides a technical support for the further study of near-ground laser weapon system against vehicle dust interference in the battle field. INDEX TERMS Battlefield Environment; Vehicle-raised Dust; Spatial Mass Concentration; Finite Volume Method (FVM).

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“…Existing reported works have 45 focused more on the study of the emission source rather than on the dispersion of pollutants downwind the road. Sahlodin et Chen et al, (1999), Tong et al (2011) andGerardin et al (2016) used CFD to study the dust patterns originated by vehicles moving over desert 5 terrains. They did not study the dispersion of those particles downwind.…”

Section: Introductionmentioning

confidence: 99%

Air pollution near arterial roads: An experimental and modelling study

Huertas

Prato

2017

Preprint

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Abstract. Aiming to advance in the understanding of pollutant dispersion near arterial roads, we measured, simultaneously, meteorological parameters, emission mass rates and TSP, PM10 and PM2.5 concentrations at several locations downwind two roads, located on a flat region without any other source of pollutants. We also implemented on a state of the art commercial CFD software, an air quality model to simulate the dispersion of solid and gas-phase pollutants emitted from arterial roads. Numerical results of long-term averages and daily measurements of particle concentration showed high 10 correlation with experimental measurements (R2>0.76).We found that the plots of pollutants concentration vs distance to the road edge describe a unique curve when expressed in terms of non-dimensional numbers and that this curve is well described by a beta function. Profiles of vertical concentration sketch an exponential function at the road edge, an S shape downwind and a flat shape far from the road. Particles exhibit a Rosin Rambler size distribution with average diameter of ~ 7 µm. This distribution remains unaltered downwind from the 15 road, which implies that at any location, PM10 and PM2.5 concentrations are a constant fraction of TPS concentration.Experimental data confirmed this observation.Previous results can be used to determine the size of the area impacted by roads, identify mitigating and adaptive countermeasures, and to improve the accuracy of vehicular emission factors. 20

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Real-time simulation of dust behavior generated by a fast traveling vehicle

Cited by 31 publications

References 20 publications

Final Report on Massive Data Sets: Visualization and Analysis

Final Report on Massive Data Sets: Visualization and Analysis

Study of Spatial Distribution Characteristics for Dust Raised by Vehicles in Battlefield Environments Using CFD

Air pollution near arterial roads: An experimental and modelling study

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