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Journal articles on the topic 'Simulation particulaire'

Author: Grafiati

Published: 8 June 2024

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1

Rivoalen, Elie, Serge Huberson, and Frédéric Hauville. "Simulation numérique des équations de Navier-Stokes 3D par une méthode particulaire." Comptes Rendus de l'Académie des Sciences - Series IIB - Mechanics-Physics-Chemistry-Astronomy 324, no. 9 (May 1997): 543–49. http://dx.doi.org/10.1016/s1251-8069(97)83187-9.

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2

Villedieu, Philippe, and Jouke Hylkema. "Une méthode particulaire aléatoire reposant sur une équation cinétique pour la simulation numérique des sprays denses de gouttelettes liquides." Comptes Rendus de l'Académie des Sciences - Series I - Mathematics 325, no. 3 (August 1997): 323–28. http://dx.doi.org/10.1016/s0764-4442(97)83964-x.

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3

VĂDUVA, Ion, and Mihăiţă DRĂGAN. "ON THE SIMULATION OF SOME PARTICULAR DISCRETE DISTRIBUTIONS." Review of the Air Force Academy 16, no. 2 (October 31, 2018): 17–30. http://dx.doi.org/10.19062/1842-9238.2018.16.2.2.

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4

Yang Fu, 杨馥, 陈文豪 Chen Wenhao, 陆彦宇 Lu Yanyu, and 贺岩 He Yan. "高光谱分辨率的海洋碳颗粒剖面探测系统仿真." Infrared and Laser Engineering 52, no. 5 (2023): 20220715. http://dx.doi.org/10.3788/irla20220715.

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5

Maierhofer, Paul, Marco Carminati, Giorgio Ferrari, Georg Röhrer, Marco Sampietro, and Alexander Bergmann. "Characterization of a Capacitive Sensor for Particulate Matter." Proceedings 2, no. 13 (December 17, 2018): 995. http://dx.doi.org/10.3390/proceedings2130995.

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We characterize a novel micro-sensor with pairs of interdigitated combs of microelectrodes designed to detect particles in air. We evaluate the sensor’s response to 1 µm Polystyrene Latex (PSL) particles experimentally and crosscheck the results with simulations. Experiment and simulation show good consistency. Based on the promising results we propose a redesign of the capacitive particle sensor with respect to PM2.5.

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6

葉沛廷, 葉沛廷, and 蘇瑛敏 Pei-Ting Yeh. "基於透空式建築型態的街谷細懸浮微粒汙染物擴散數值模擬." 建築學報 117, no. 117 (September 2021): 069–95. http://dx.doi.org/10.53106/101632122021090117004.

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<p>受發展影響都市空間結構呈現高層且高密度趨勢，頻繁的人為活動加上在密集空間裡持續排放汙染物，破壞都市微氣候環境造成負面效應(任超，2016；歐陽嶠暉，2005)，為改善惡化的都市環境，主要透過規劃與設計針對建物與街道空間型態進行優化，其中高密度的建築群影響周邊風環境，不利於街谷內汙染物的擴散，而透過透空式建築設計能減少建築迎風面面積，增加風通透性以改善都市環境 (香港屋宇署，2013)，過往研究多透過觀測的方式分析汙染物與氣象條件的關係，近期則針對汙染物進行電腦數值模擬，但採用顆粒物的模擬相對較少，因此本研究配合Hang, J. & Li, Y. G.(2010)理想城市10×9配置，設定透空式建築量體為長(30m)、寬(30m)、高(80m)，並以無透空建築為對照組，加上不同建築洞口高度(0.45h、0.65h及0.45-0.65h)為變項設計共4組研究方案，使用ANSYS Fluent v18進行風環境與PM2.5細懸浮微粒汙染物模擬。研究結果顯示:高層建築量體增加街道封閉性，導致空氣流通與汙染物擴散的阻礙，透空式建築能提高街道的滲透性改善空氣流通。隨著 Z 軸高度增加汙染物分佈受街谷空間及汙染源距離影響，因此較低的洞口具有較佳汙染物去除效果。連續且過長的街道讓汙染物累積於都市末端，建議維持足夠的都市空間讓街區空氣流通，以得到理想改善效果。</p> <p> </p><p>This study is based on opening buildings of length (30m), width (30m), and height (80m) combined with Hang, J. & Li, Y. G.(2010) ideal city 10 × 9 configurations, and building without hole is control group, different building opening heights (0.45h, 0.65h, and 0.45-0.65h) are designed as various groups of 4 research scenario. Using ANSYS Fluent v18 to simulate the wind environment and PM2.5 fine particulate matter. The results of the study found that the volume of high-rise buildings increased the sealing of the streets, leading to the obstruction of air circulation and the spread of pollutants. The opening buildings can increase the permeability of the streets and improve the air circulation. As the height of the Z-axis increases, the distribution of pollutants is affected by the space of the street canyon and the distance of the pollution source, so the lower hole has a better effect of removing pollutants. Continuous and long streets allow pollutants to accumulate at the end of the city. It is recommended to maintain sufficient urban space to allow air circulation in the blocks to obtain the desired improvement effect. </p> <p> </p>

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Trunk, Robin, Timo Weckerle, Nicolas Hafen, Gudrun Thäter, Hermann Nirschl, and Mathias J. Krause. "Revisiting the Homogenized Lattice Boltzmann Method with Applications on Particulate Flows." Computation 9, no. 2 (January 27, 2021): 11. http://dx.doi.org/10.3390/computation9020011.

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The simulation of surface resolved particles is a valuable tool to gain more insights in the behaviour of particulate flows in engineering processes. In this work the homogenized lattice Boltzmann method as one approach for such direct numerical simulations is revisited and validated for different scenarios. Those include a 3D case of a settling sphere for various Reynolds numbers. On the basis of this dynamic case, different algorithms for the calculation of the momentum exchange between fluid and particle are evaluated along with different forcing schemes. The result is an updated version of the method, which is in good agreement with the benchmark values based on simulations and experiments. The method is then applied for the investigation of the tubular pinch effect discovered by Segré and Silberberg and the simulation of hindered settling. For the latter, the computational domain is equipped with periodic boundaries for both fluid and particles. The results are compared to the model by Richardson and Zaki and are found to be in good agreement. As no explicit contact treatment is applied, this leads to the assumption of sufficient momentum transfer between particles via the surrounding fluid. The implementations are based on the open-source C++ lattice Boltzmann library OpenLB.

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Liu, Don, Yi Fan Wang, and Hai Bo Zhang. "Spectral Element Simulation of Complex Particulate Flows." Applied Mechanics and Materials 404 (September 2013): 318–23. http://dx.doi.org/10.4028/www.scientific.net/amm.404.318.

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This paper uses a mathematical model Virtual Identity Particles, developed by the author, to simulate conjugated motion of complex particles in a fluid. Assimilated the advantages of Eulerian and Lagrangian approaches, this model treats each particle as a variable source term to the fluid and is designed for simulating numerous particles in two-phase flows. The economic formulation in this model is the salient feature. Considering both precision and computational cost, this model maintains an excellent balance between accuracy and efficiency in modeling particulate flows with complex particles. Simulation results demonstrate that this model is viable for investigating complex particulate flows, especially at a moderately high particle number density.

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Wang, Y. H., and S. C. Leung. "A particulate-scale investigation of cemented sand behavior." Canadian Geotechnical Journal 45, no. 1 (January 2008): 29–44. http://dx.doi.org/10.1139/t07-070.

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In this paper, triaxial tests and numerical simulations using the discrete element method (DEM) are combined to explore the underlying mechanisms of the unique behavior of artificially cemented sands. The experimental results show that strength enhancement, volumetric dilation, and the shear banding associated failure mode are observed in Portland cement sand; these features become more pronounced with increasing cement content. Different responses are found in gypsum-cemented sand even though both types of cemented sand specimens were prepared under very similar void ratios before shearing. The DEM simulations on the Portland cement sand were carried out under two particular arrangements (i.e., the use of small cementing particles and flexible membrane boundaries). The simulation results reveal that particles in the bonding network jointly share the loading and many micro force-chains associated with cementation are created. Compared with uncemented sand, a more stable and stronger force–chain complex subjected to smaller force concentration is formed in cemented sand, which gives rise to higher strength. Intensive bond breakage, concentrated relative particle movement, column-like force chains, great particle rotation, and high local porosity are found inside the shear band. The bonded clusters remain at large strains to help stabilize the particle arch and therefore to maintain the volumetric dilation.

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10

Song, Xin-Yi, Qing-Chang Lu, and Zhong-Ren Peng. "Spatial Distribution of Fine Particulate Matter in Underground Passageways." International Journal of Environmental Research and Public Health 15, no. 8 (July 25, 2018): 1574. http://dx.doi.org/10.3390/ijerph15081574.

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The unfavorable locations of underground infrastructures and poor ventilation facilities can result in the deterioration of enclosed air quality. Some researchers have studied air quality and ventilation measures in different types of underground buildings. However, few studies have investigated the pollution in pedestrian passageways connecting underground structures. Hence, in this paper, we attempted to investigate the spatial distribution of fine particulate matter (PM2.5) in underground passageways. First, measurements were designed and conducted in a pedestrian passageway beneath the Shanghai South Railway Station, Shanghai, China. Second, numerical simulations were performed based on computational fluid dynamic (CFD) technology. Finally, the numerical simulations were extended to examine impacts of the ventilation measures on PM2.5 concentration with different inlet positions and air velocity in underground passageways. The simulation results showed good agreement with the experimental data, and the numerical model was validated to be an effective method to investigate the spatial distribution of PM2.5 in underground passageways. Results suggest that building additional entrances is an advisable method for improving air quality in the underground passageways of the Shanghai South Railway Station, while jet fans are not recommended. Findings of this study offer suggestions for mitigating PM2.5 pollution in underground passageways.

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11

KIENLE, A., S. PALIS, M. MANGOLD, and R. DÜRR. "Modeling and Simulation of Particulate Processes." Èlektronnoe modelirovanie 38, no. 5 (October 6, 2016): 23–34. http://dx.doi.org/10.15407/emodel.38.05.023.

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12

Song, Ming, B. M. Li, A. Steiff, and P. M. Weinspach. "Stochastic Simulation of Particulate Dynamic Breakup." JOURNAL OF CHEMICAL ENGINEERING OF JAPAN 31, no. 2 (1998): 201–7. http://dx.doi.org/10.1252/jcej.31.201.

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13

Patankar, N. A., and D. D. Joseph. "Lagrangian numerical simulation of particulate flows." International Journal of Multiphase Flow 27, no. 10 (October 2001): 1685–706. http://dx.doi.org/10.1016/s0301-9322(01)00025-8.

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14

Durán, A., M. Carmona, and J. M. Monteagudo. "Simulation of diesel particulate matter size." Atmospheric Environment 38, no. 36 (November 2004): 6203–9. http://dx.doi.org/10.1016/j.atmosenv.2004.07.016.

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15

Josephson, Alexander J., Troy M. Holland, Sara Brambilla, Michael J. Brown, and Rodman R. Linn. "Predicting Emission Source Terms in a Reduced-Order Fire Spread Model—Part 1: Particulate Emissions." Fire 3, no. 1 (February 25, 2020): 4. http://dx.doi.org/10.3390/fire3010004.

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A simple, easy-to-evaluate, surrogate model was developed for predicting the particle emission source term in wildfire simulations. In creating this model, we conceptualized wildfire as a series of flamelets, and using this concept of flamelets, we developed a one-dimensional model to represent the structure of these flamelets which then could be used to simulate the evolution of a single flamelet. A previously developed soot model was executed within this flamelet simulation which could produce a particle size distribution. Executing this flamelet simulation 1200 times with varying conditions created a data set of emitted particle size distributions to which simple rational equations could be tuned to predict a particle emission factor, mean particle size, and standard deviation of particle sizes. These surrogate models (the rational equation) were implemented into a reduced-order fire spread model, QUIC-Fire. Using QUIC-Fire, an ensemble of simulations were executed for grassland fires, southeast U.S. conifer forests, and western mountain conifer forests. Resulting emission factors from this ensemble were compared against field data for these fire classes with promising results. Also shown is a predicted averaged resulting particle size distribution with the bulk of particles produced to be on the order of 1 μm in size.

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Peciar, Peter, Oliver Macho, Roman Fekete, and Marián Peciar. "THE USE OF DEM SIMULATION FOR CONFIRMING THE PROCESS OF PARTICULATE MATERIAL MIXING." Acta Polytechnica 58, no. 6 (December 31, 2018): 378–87. http://dx.doi.org/10.14311/ap.2018.58.0378.

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At the present time in the research of particulate materials, computer methods that work independently with individual particles are coming to the forefront. One such method is the Discrete Element Method – DEM, which is already widely used. Its usage, however, is complex, mostly due to the input data – what the properties of the researched material are, plus their interaction in processes. And despite the progress, it is still always necessary to validate the experimental equipment and to verify the individual simulations by an experimental measuring or by theoretical knowledge. This study focuses on the verification of the simulation of the mixing of a particulate material with the help of the DEM method, whereby simulations are compared with an experimental measurement and theoretic calculations. The theoretical calculation was carried out by the Novosad model, while the experimental material was granulated polyethylene with strictly defined mechanical-physical properties.

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17

Han, Kyung M., Chang H. Jung, Rae-Seol Park, Soon-Young Park, Sojin Lee, Markku Kulmala, Tuukka Petäjä, et al. "Data Assimilation of AOD and Estimation of Surface Particulate Matters over the Arctic." Applied Sciences 11, no. 4 (February 23, 2021): 1959. http://dx.doi.org/10.3390/app11041959.

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In this study, more accurate information on the levels of aerosol optical depth (AOD) was calculated from the assimilation of the modeled AOD based on the optimal interpolation method. Additionally, more realistic levels of surface particulate matters over the Arctic were estimated using the assimilated AOD based on the linear relationship between the particulate matters and AODs. In comparison to the MODIS observation, the assimilated AOD was much improved compared with the modeled AOD (e.g., increase in correlation coefficients from −0.15–0.26 to 0.17–0.76 over the Arctic). The newly inferred monthly averages of PM10 and PM2.5 for April–September 2008 were 2.18–3.70 μg m−3 and 0.85–1.68 μg m−3 over the Arctic, respectively. These corresponded to an increase of 140–180%, compared with the modeled PMs. In comparison to in-situ observation, the inferred PMs showed better performances than those from the simulations, particularly at Hyytiala station. Therefore, combining the model simulation and data assimilation provided more accurate concentrations of AOD, PM10, and PM2.5 than those only calculated from the model simulations.

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18

Yan, Sheng-Nan, Tian-Yu Wang, Tian-Qi Tang, An-Xing Ren, and Yu-Rong He. "Simulation on hydrodynamics of non-spherical particulate system using a drag coefficient correlation based on artificial neural network." Petroleum Science 17, no. 2 (December 24, 2019): 537–55. http://dx.doi.org/10.1007/s12182-019-00411-2.

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AbstractFluidization of non-spherical particles is very common in petroleum engineering. Understanding the complex phenomenon of non-spherical particle flow is of great significance. In this paper, coupled with two-fluid model, the drag coefficient correlation based on artificial neural network was applied in the simulations of a bubbling fluidized bed filled with non-spherical particles. The simulation results were compared with the experimental data from the literature. Good agreement between the experimental data and the simulation results reveals that the modified drag model can accurately capture the interaction between the gas phase and solid phase. Then, several cases of different particles, including tetrahedron, cube, and sphere, together with the nylon beads used in the model validation, were employed in the simulations to study the effect of particle shape on the flow behaviors in the bubbling fluidized bed. Particle shape affects the hydrodynamics of non-spherical particles mainly on microscale. This work can be a basis and reference for the utilization of artificial neural network in the investigation of drag coefficient correlation in the dense gas–solid two-phase flow. Moreover, the proposed drag coefficient correlation provides one more option when investigating the hydrodynamics of non-spherical particles in the gas–solid fluidized bed.

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Yang, Shichun, Cheng Deng, Yanfei Gao, and Yongling He. "Diesel particulate filter design simulation: A review." Advances in Mechanical Engineering 8, no. 3 (March 9, 2016): 168781401663732. http://dx.doi.org/10.1177/1687814016637328.

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Kittipoomwong, Prakorn, Howard See, and Nam Mai-Duy. "Dynamic simulation of non-spherical particulate suspensions." Rheologica Acta 49, no. 6 (December 15, 2009): 597–606. http://dx.doi.org/10.1007/s00397-009-0412-6.

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21

Haseltine, Eric L., Daniel B. Patience, and James B. Rawlings. "On the stochastic simulation of particulate systems." Chemical Engineering Science 60, no. 10 (May 2005): 2627–41. http://dx.doi.org/10.1016/j.ces.2004.05.038.

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22

Rosato, A., F. Prinz, K. J. Standburg, and R. Swendsen. "Monte Carlo simulation of particulate matter segregation." Powder Technology 49, no. 1 (December 1986): 59–69. http://dx.doi.org/10.1016/0032-5910(86)85005-7.

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23

Skodras, G., S. P. Kaldis, D. Sofialidis, O. Faltsi, P. Grammelis, and G. P. Sakellaropoulos. "Particulate removal via electrostatic precipitators — CFD simulation." Fuel Processing Technology 87, no. 7 (July 2006): 623–31. http://dx.doi.org/10.1016/j.fuproc.2006.01.012.

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24

Jiang, Da Hai, Guang Tao Yao, Xin Yun Zi, Hong Wei Liu, and Ming Mao. "Study on Particulate Accumulated Characteristics of Diesel Particulate Filter." Applied Mechanics and Materials 229-231 (November 2012): 331–35. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.331.

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The paper has carried out numerical simulation and experimental study on the pressure loss of filter. Based on pressure loss model of filter, research methods of particulate accumulated characteristics has proposed according to the exhaust flow, exhaust temperature and exhaust back pressure. Meanwhile, the model is important for the online calculation of accumulated particulate matters in the filters and failure monitoring of diesel particulate filter.

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Zhai, Shixian, Daniel J. Jacob, Drew C. Pendergrass, Nadia K. Colombi, Viral Shah, Laura Hyesung Yang, Qiang Zhang, et al. "Coarse particulate matter air quality in East Asia: implications for fine particulate nitrate." Atmospheric Chemistry and Physics 23, no. 7 (April 12, 2023): 4271–81. http://dx.doi.org/10.5194/acp-23-4271-2023.

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Abstract. Air quality network data in China and South Korea show very high year-round mass concentrations of coarse particulate matter (PM), as inferred by the difference between PM10 and PM2.5. Coarse PM concentrations in 2015 averaged 52 µg m−3 in the North China Plain (NCP) and 23 µg m−3 in the Seoul Metropolitan Area (SMA), contributing nearly half of PM10. Strong daily correlations between coarse PM and carbon monoxide imply a dominant source from anthropogenic fugitive dust. Coarse PM concentrations in the NCP and the SMA decreased by 21 % from 2015 to 2019 and further dropped abruptly in 2020 due to COVID-19 reductions in construction and vehicle traffic. Anthropogenic coarse PM is generally not included in air quality models but scavenges nitric acid to suppress the formation of fine particulate nitrate, a major contributor to PM2.5 pollution. GEOS-Chem model simulation of surface and aircraft observations from the Korea–United States Air Quality (KORUS-AQ) campaign over the SMA in May–June 2016 shows that consideration of anthropogenic coarse PM largely resolves the previous model overestimate of fine particulate nitrate. The effect is smaller in the NCP which has a larger excess of ammonia. Model sensitivity simulations for 2015–2019 show that decreasing anthropogenic coarse PM directly increases PM2.5 nitrate in summer, offsetting 80 % the effect of nitrogen oxide and ammonia emission controls, while in winter the presence of coarse PM increases the sensitivity of PM2.5 nitrate to ammonia and sulfur dioxide emissions. Decreasing coarse PM helps to explain the lack of decrease in wintertime PM2.5 nitrate observed in the NCP and the SMA over the 2015–2021 period despite decreases in nitrogen oxide and ammonia emissions. Continuing decrease of fugitive dust pollution means that more stringent nitrogen oxide and ammonia emission controls will be required to successfully decrease PM2.5 nitrate.

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26

Galí, Martí, Marcus Falls, Hervé Claustre, Olivier Aumont, and Raffaele Bernardello. "Bridging the gaps between particulate backscattering measurements and modeled particulate organic carbon in the ocean." Biogeosciences 19, no. 4 (March 1, 2022): 1245–75. http://dx.doi.org/10.5194/bg-19-1245-2022.

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Abstract. Oceanic particulate organic carbon (POC) is a small but dynamic component of the global carbon cycle. Biogeochemical models historically focused on reproducing the sinking flux of POC driven by large fast-sinking particles (LPOC). However, suspended and slow-sinking particles (SPOC, here < 100 µm) dominate the total POC (TPOC) stock, support a large fraction of microbial respiration, and can make sizable contributions to vertical fluxes. Recent developments in the parameterization of POC reactivity in PISCES (Pelagic Interactions Scheme for Carbon and Ecosystem Studies model; PISCESv2_RC) have improved its ability to capture POC dynamics. Here we evaluated this model by matching a global 3D simulation and 1D simulations at 50 different locations with observations made from biogeochemical (BGC-) Argo floats and satellites. Our evaluation covers globally representative biomes between 0 and 1000 m depth and relies on (1) a refined scheme for converting particulate backscattering at 700 nm (bbp700) to POC, based on biome-dependent POC / bbp700 ratios in the surface layer that decrease to an asymptotic value at depth; (2) a novel approach for matching annual time series of BGC-Argo vertical profiles to PISCES 1D simulations forced by pre-computed vertical mixing fields; and (3) a critical evaluation of the correspondence between in situ measurements of POC fractions, PISCES model tracers, and SPOC and LPOC estimated from high vertical resolution bbp700 profiles through a separation of the baseline and spike signals. We show that PISCES captures the major features of SPOC and LPOC across a range of spatiotemporal scales, from highly resolved profile time series to biome-aggregated climatological profiles. Model–observation agreement is usually better in the epipelagic (0–200 m) than in the mesopelagic (200–1000 m), with SPOC showing overall higher spatiotemporal correlation and smaller deviation (typically within a factor of 1.5). Still, annual mean LPOC stocks estimated from PISCES and BGC-Argo are highly correlated across biomes, especially in the epipelagic (r=0.78; n=50). Estimates of the SPOC / TPOC fraction converge around a median of 85 % (range 66 %–92 %) globally. Distinct patterns of model–observations misfits are found in subpolar and subtropical gyres, pointing to the need to better resolve the interplay between sinking, remineralization, and SPOC–LPOC interconversion in PISCES. Our analysis also indicates that a widely used satellite algorithm overestimates POC severalfold at high latitudes during the winter. The approaches proposed here can help constrain the stocks, and ultimately budgets, of oceanic POC.

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27

Chen, Meng, Jian-ming Yang, and Yi-tao Yang. "Establishment of particular methods in casting simulation." Journal of Shanghai Jiaotong University (Science) 17, no. 4 (July 29, 2012): 475–78. http://dx.doi.org/10.1007/s12204-012-1308-7.

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28

Zhu, Di, Ezanee Gires, Huizhen Dong, Aolin Chen, and Kamarul Arifin Ahmad. "Review of Motion Simulation of Particulate Matter in the Respiratory System and Further CFD Simulations on COVID-19." Processes 11, no. 4 (April 20, 2023): 1281. http://dx.doi.org/10.3390/pr11041281.

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Respirable particulate matter (RSP) is currently very harmful to the human body, potentially causing pulmonary silicosis, allergic rhinitis, acute bronchitis, and pulmonary heart disease. Therefore, the study of the deposition pattern of RSP in the human respiratory system is key in the prevention, treatment, and research of related diseases, whereby the main methods are computer simulation, in vitro solid models, and theoretical analysis. This paper summarizes and analyzes past deposition of RSP in the respiratory tract and also describes them in specific case studies such as COPD and COVID-19 patients, based on the review of the evidence, direction, and focus of future research focusing on simulation, experimentation, and related applications of RSP deposition in the respiratory tract.

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29

MUGURUMA, Yoshitsugu. "Numerical Simulation of Particulate Flows in Pharmaceutical Apparatus." JAPANESE JOURNAL OF MULTIPHASE FLOW 11, no. 1 (1997): 15–18. http://dx.doi.org/10.3811/jjmf.11.15.

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30

Kanai, Y., and S. H. Charap. "Simulation of magnetic aftereffect in particulate recording media." IEEE Transactions on Magnetics 27, no. 6 (November 1991): 4972–74. http://dx.doi.org/10.1109/20.278711.

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31

Tsutsumi, M., F. Kugiya, N. Kodama, M. Suzuki, M. Koizumi, F. Akagi, and D. E. Speliotis. "Read/write simulation of Ba‐ferrite particulate media." Journal of Applied Physics 69, no. 8 (April 15, 1991): 4493–95. http://dx.doi.org/10.1063/1.348335.

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32

Yamamoto, Kazuhiro, and Kazuki Yamauchi. "Numerical simulation of continuously regenerating diesel particulate filter." Proceedings of the Combustion Institute 34, no. 2 (January 2013): 3083–90. http://dx.doi.org/10.1016/j.proci.2012.06.117.

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33

Coverdale, G. N., R. W. Chantrell, A. Hart, and D. Parker. "A 3-D simulation of a particulate dispersion." Journal of Magnetism and Magnetic Materials 120, no. 1-3 (March 1993): 210–12. http://dx.doi.org/10.1016/0304-8853(93)91324-z.

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34

Maxey, Martin. "Simulation Methods for Particulate Flows and Concentrated Suspensions." Annual Review of Fluid Mechanics 49, no. 1 (January 3, 2017): 171–93. http://dx.doi.org/10.1146/annurev-fluid-122414-034408.

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35

Konstandopoulos, A. G., M. Kostoglou, and N. Vlachos. "The multiscale nature of diesel particulate filter simulation." International Journal of Vehicle Design 41, no. 1/2/3/4 (2006): 256. http://dx.doi.org/10.1504/ijvd.2006.009676.

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Yamamoto, Kazuhiro, Masamichi Nakamura, Hiroyoshi Yane, and Hiroshi Yamashita. "Simulation on catalytic reaction in diesel particulate filter." Catalysis Today 153, no. 3-4 (August 2010): 118–24. http://dx.doi.org/10.1016/j.cattod.2010.02.064.

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Zhu, H. P., Z. Y. Zhou, R. Y. Yang, and A. B. Yu. "Discrete particle simulation of particulate systems: Theoretical developments." Chemical Engineering Science 62, no. 13 (July 2007): 3378–96. http://dx.doi.org/10.1016/j.ces.2006.12.089.

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38

Tassopoulos, Menelaos, and Daniel E. Rosner. "Simulation of vapor diffusion in anisotropic particulate deposits." Chemical Engineering Science 47, no. 2 (February 1992): 421–43. http://dx.doi.org/10.1016/0009-2509(92)80031-7.

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39

Balanzino, A., E. Ferrero, G. Pirovano, G. M. Riva, and M. Causà. "Particulate matter pollution simulations in complex terrain." International Journal of Environment and Pollution 48, no. 1/2/3/4 (2012): 39. http://dx.doi.org/10.1504/ijep.2012.049650.

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Lu, Libin, Abtin Rahimian, and Denis Zorin. "Contact-aware simulations of particulate Stokesian suspensions." Journal of Computational Physics 347 (October 2017): 160–82. http://dx.doi.org/10.1016/j.jcp.2017.06.039.

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Wu, Hao, and Meng Liu. "Enhanced Modeling for Analysis of Fine Particulate Interactions with Coated Surfaces." Applied Sciences 14, no. 5 (February 25, 2024): 1896. http://dx.doi.org/10.3390/app14051896.

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The adhesion of Martian surface dust to solar panels has been a longstanding challenge for Mars mission researchers. Anti-dust coatings have been developed to deter the adsorption of dust particles onto these solar panels. However, current ground testing methods struggle to accurately verify and assess the coating’s ability to inhibit dust particle adsorption. Consequently, this paper introduces a computational model capable of calculating the contact force between fine particles and the coated surface. This model, grounded in the classical adhesive elastic interactions paradigm, establishes a normal force solution by approximating the pressure distribution on the contact area between the sphere and the coating, subsequently computing the composite force acting on the particle. Utilizing the API module of the EDEM simulation platform, we conducted simulations of the motion of fine particles on both smooth and coated plates. The results reveal that van der Waals forces are more prominent for light-mass particles, and the application of the coating can diminish the pull of these forces, facilitating easier detachment of dust particles from the plate surface.

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Rigby, Sean P., and Ali Alsayah. "Storage Sites for Carbon Dioxide in the North Sea and Their Particular Characteristics." Energies 17, no. 1 (December 30, 2023): 211. http://dx.doi.org/10.3390/en17010211.

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This paper reviews and evaluates work on the structural complexity of the potential carbon dioxide storage sites in the North Sea, including the nature of the reservoir structures, the reservoir rocks, the presence of inter-layers, faults, and fractures, and how these factors influence carbon dioxide capacity. In particular, the review emphasises the significance of studying caprocks in detail, not just the reservoir rock’s carbon dioxide storage capacity. This work also particularly considers reservoir simulation work on North Sea sites and illustrates the importance of using fully coupled flow–geomechanical–geochemical modelling to ensure that complex feedback and synergistic effects are not missed. It includes comparisons with other sites where relevant. It also discusses recent challenges and controversies that have arisen from simulations of sequestration in North Sea reservoirs and the need for comprehensive field data to resolve these issues.

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SHIMAZAKI, Yasuhiro, Masaaki OKUBO, and Toshiaki YAMAMOTO. "Three-dimensional Numerical Simulation of Gas-Particulate Flow around Breathing Human and Particulate Inhalation." Journal of Environment and Engineering 2, no. 1 (2007): 47–55. http://dx.doi.org/10.1299/jee.2.47.

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Wang, Liang, Zhaoli Guo, Baochang Shi, and Chuguang Zheng. "Evaluation of Three Lattice Boltzmann Models for Particulate Flows." Communications in Computational Physics 13, no. 4 (April 2013): 1151–72. http://dx.doi.org/10.4208/cicp.160911.200412a.

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AbstractA comparative study is conducted to evaluate three types of lattice Boltzmann equation (LBE) models for fluid flows with finite-sized particles, including the lattice Bhatnagar-Gross-Krook (BGK) model, the model proposed by Ladd [Ladd AJC, J. Fluid Mech., 271, 285-310 (1994); Ladd AJC, J. Fluid Mech., 271, 311-339 (1994)], and the multiple-relaxation-time (MRT) model. The sedimentation of a circular particle in a two-dimensional infinite channel under gravity is used as the first test problem. The numerical results of the three LBE schemes are compared with the theoretical results and existing data. It is found that all of the three LBE schemes yield reasonable results in general, although the BGK scheme and Ladd’s scheme give some deviations in some cases. Our results also show that the MRT scheme can achieve a better numerical stability than the other two schemes. Regarding the computational efficiency, it is found that the BGK scheme is the most superior one, while the other two schemes are nearly identical. We also observe that the MRT scheme can unequivocally reduce the viscosity dependence of the wall correction factor in the simulations, which reveals the superior robustness of the MRT scheme. The superiority of the MRT scheme over the other two schemes is also confirmed by the simulation of the sedimentation of an elliptical particle.

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Sánchez-Ccoyllo, Odón R., Alan Llacza, Elizabeth Ayma-Choque, Marcelo Alonso, Paula Castesana, and Maria de Fatima Andrade. "Evaluating the Impact of Vehicular Aerosol Emissions on Particulate Matter (PM2.5) Formation Using Modeling Study." Atmosphere 13, no. 11 (November 1, 2022): 1816. http://dx.doi.org/10.3390/atmos13111816.

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Automobile emissions in urban cities, such as Peru, are significant; however, there are no published studies of the effects of these emissions on PM2.5 (fine particulate matter) formation. This study aims to analyze the contributions of vehicle aerosol emissions to the surface mass concentration of PM2.5 in the Metropolitan Area of Lima and Callao (MALC), one of the most polluted cities in Latin America and the Caribbean (LAC) known to have high concentrations of PM2.5. In February 2018, we performed two numerical simulations (control and sensitivity) using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem). We considered both trace gasses and aerosol emissions from on-road traffic for the baseline simulation (hereinafter referred to as “control”); gasses without particulate emissions from vehicles were considered for the sensitivity simulation (hereinafter referred to as WithoutAerosol). For control, the model’s performance was evaluated using in situ on-ground PM2.5 observations. The results of the predicted PM2.5 concentration, temperature, and relative humidity at 2 m, with wind velocity at 10 m, indicated the accuracy of the model for the control scenario. The results for the WithoutAerosol scenario indicated that the contributions of vehicular trace gasses to secondary aerosols PM2.5 concentrations was 12.7%; aerosol emissions from road traffic contributed to the direct emissions of fine aerosol (31.7 ± 22.6 µg/m3).

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Gonçalves, Fábio Luiz Teixeira, Klaus Dieter Beheng, Oswaldo Massambani, Wolfgang Vautz, and Dieter Klockow. "Scavenging processes of atmospheric particulate matter: a numerical modeling of case studies." Revista Brasileira de Meteorologia 25, no. 4 (December 2010): 437–47. http://dx.doi.org/10.1590/s0102-77862010000400003.

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Below cloud scavenging processes have been investigated considering a numerical simulation, local atmospheric conditions and particulate matter (PM) concentrations, at different sites in Germany. The below cloud scavenging model has been coupled with bulk particulate matter counter TSI (Trust Portacounter dataset, consisting of the variability prediction of the particulate air concentrations during chosen rain events. The TSI samples and meteorological parameters were obtained during three winter Campaigns: at Deuselbach, March 1994, consisting in three different events; Sylt, April 1994 and; Freiburg, March 1995. The results show a good agreement between modeled and observed air concentrations, emphasizing the quality of the conceptual model used in the below cloud scavenging numerical modeling. The results between modeled and observed data have also presented high square Pearson coefficient correlations over 0.7 and significant, except the Freiburg Campaign event. The differences between numerical simulations and observed dataset are explained by the wind direction changes and, perhaps, the absence of advection mass terms inside the modeling. These results validate previous works based on the same conceptual model.

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de Carvalho, A. L. C., F. M. Leila, A. M. S. Dias, A. L. Christoforo, D. A. Lopes Silva, M. E. Silveira, and F. A. R. Lahr. "Numerical Analyses of Timber Columns Reinforced by Particulate Composite Material." Open Construction and Building Technology Journal 10, no. 1 (June 28, 2016): 442–49. http://dx.doi.org/10.2174/1874836801610010442.

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Beams are structural elements commonly used in structure for construction designs. Usually wood is applied as structural elements and its use is very important because it is a material of renewable source, low density and satisfactory mechanical performance. When the wood surface is not properly treated, the structure can be destroyed not only by environmental conditions but also the attack of insects, compromising the structural design. This research presents the use of a particulate composite material of epoxy resin reinforced with white Portland cement in order to be applied as repair in timber columns. The mechanical performance of this material is essentially numerical, based on the Finite Element Method. The wood used in the simulation was the Eucalyptus grandis. The elastic properties were obtained from the specialist literature in the field of timber structures. The results of numerical simulations in terms of tension and buckling loads, the inclusion of the composite in the damaged regions (for all dimensions of the defects studied) provided buckling load results significantly higher than the buckling load values for the conditions without composite, and near to the values of the buckling loads without defect, highlighting the good performance of the particulate composite material in the repair of timber columns.

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48

Marin, Mario, Gene Lee, and Jaeho Kim. "Multiple Resolution Modeling: A Particular Case of Distributed Simulation." Information 11, no. 10 (October 2, 2020): 469. http://dx.doi.org/10.3390/info11100469.

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Multiple resolution modeling (MRM) is the future of distributed simulation. This article describes different definitions and notions related to MRM. MRM is a relatively new research area, and there is a demand for simulator integration from a modeling complexity point of view. This article also analyzes a taxonomy based on the experience of the researchers in detail. Finally, an example that uses the high-level architecture (HLA) is explained to illustrate the above definitions and, in particular, to look at the problems that are common to these distributed simulation configurations. The steps required to build an MRM distributed simulation system are introduced. The conclusions describe the lessons learned for this unique form of distributed simulation.

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Janke, David, Senthilathiban Swaminathan, Sabrina Hempel, Robert Kasper, and Thomas Amon. "Particulate Matter Dispersion Modeling in Agricultural Applications: Investigation of a Transient Open Source Solver." Agronomy 11, no. 11 (November 6, 2021): 2246. http://dx.doi.org/10.3390/agronomy11112246.

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Agriculture is a major emitter of particulate matter (PM), which causes health problems and can act as a carrier of the pathogen material that spreads diseases. The aim of this study was to investigate an open-source solver that simulates the transport and dispersion of PM for typical agricultural applications. We investigated a coupled Eulerian–Lagrangian solver within the open source software package OpenFOAM. The continuous phase was solved using transient large eddy simulations, where four different subgrid-scale turbulence models and an inflow turbulence generator were tested. The discrete phase was simulated using two different Lagrangian solvers. For the validation case of a turbulent flow of a street canyon, the flowfield could be recaptured very well, with errors of around 5% for the non-equilibrium turbulence models (WALE and dynamicKeq) in the main regions. The inflow turbulence generator could create a stable and accurate boundary layer for the mean vertical velocity and vertical profile of the turbulent Reynolds stresses R11. The validation of the Lagrangian solver showed mixed results, with partly good agreements (simulation results within the measurement uncertainty), and partly high deviations of up to 80% for the concentration of particles. The higher deviations were attributed to an insufficient turbulence regime of the used validation case, which was an experimental chamber. For the simulation case of PM dispersion from manure application on a field, the solver could capture the influence of features such as size and density on the dispersion. The investigated solver is especially useful for further investigations into time-dependent processes in the near-source area of PM sources.

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Mahran, Gamal M. A., Mohamed A. Doheim, Mohamed H. Abu-Ali, and Ahmed F. Abdel. "CFD simulation of particulate flow in a spiral concentrator." Materials Testing 57, no. 9 (September 2015): 811–16. http://dx.doi.org/10.3139/120.110774.

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