Open Access Open Access  Restricted Access Subscription or Fee Access

CFD Simulation of Dust Dispersion in Construction Site Case in Morocco: a Case Study

(*) Corresponding author

Authors' affiliations



Construction sites usually suffer from weak safety performances and biased perception of dust risk. The prevalence of workers' exposure to dust remains unknown and quantitative measurement tools are not yet available. For the sake of raising awareness about occupational riskiness for these dusty activities, a CFD approach has been used through this work. A series of simulations are carried out to investigate dust dispersion behavior and  to enlighten possibilities to reduce dust concentration in the work environment via dust source localization changing. A study regarding the positions of the air inlet and to full airflow of dust is carried out. Come outs have showed that when dust source is located within the air inlet, a cloud of particles is driven avoiding an increase of dust concentration in the workplace, whereas when it is located elsewhere the dust concentration in the workplace increases and the effect of airflow is not significant. CFD simulation of workplace airflow has enabled to plot of the variation of dust concentration as a result of the dust source location.
Copyright © 2020 Praise Worthy Prize - All rights reserved.


CFD; Construction Site; Dust; Fluent; Safety

Full Text:



F. Azarmi, P. Kumar, D. Marsh, and G. Fuller, Assessment of the long-term impacts of PM10 and PM2.5 particles from construction works on surrounding areas., Environ. Sci. Process. Impacts, vol. 18, no. 2, pp. 208–21, Feb. 2016.

Y. H. Dong and S. T. Ng, A life cycle assessment model for evaluating the environmental impacts of building construction in Hong Kong, Build. Environ., vol. 89, pp. 183–191, 2015.

X. Long et al., Urban dust in the Guanzhong Basin of China, part I: A regional distribution of dust sources retrieved using satellite data, Sci. Total Environ., vol. 541, pp. 1603–1613, 2016.

N. Li et al., Urban dust in the Guanzhong basin of China, part II: A case study of urban dust pollution using the WRF-Dust model, Sci. Total Environ., vol. 541, pp. 1614–1624, 2016.

D. K. Verma, L. A. Kurtz, D. Sahai, and M. M. Finkelstein, Current Chemical Exposures Among Ontario Construction Workers, Appl. Occup. Environ. Hyg., vol. 18, pp. 1031–1047, 2003.

Z. Wu, X. Zhang, and M. Wu, Mitigating construction dust pollution: state of the art and the way forward, J. Clean. Prod., vol. 112, pp. 1658–1666, Jan. 2016.

J. R. Dean, N. I. Elom, and J. A. Entwistle, Use of simulated epithelial lung fluid in assessing the human health risk of Pb in urban street dust, Sci. Total Environ., vol. 579, pp. 387–395, 2017.

Snashall D, Occupational health in the construction industry, Scand J Work Env. Heal., vol. 31, no. 2, pp. 5–10, 2005.

R. Tong et al., The construction dust-induced occupational health risk using Monte-Carlo simulation, J. Clean. Prod., vol. 184, pp. 598–608, 2018.

NIOSH, Health Effects of Occupational Exposure to Respirable Crystalline Silica, 2002.

K. Torén and B. Järvholm, Effect of occupational exposure to vapors, gases, dusts, and fumes on copd mortality risk among swedish construction workers, Chest, vol. 145, no. 5, pp. 992–997, 2014.

R. Beelen et al., Effects of long-term exposure to air pollution on natural-cause mortality: An analysis of 22 European cohorts within the multicentre ESCAPE project, Lancet, vol. 383, no. 9919, pp. 785–795, 2014.

I. A. Bergdahl et al., Increased mortality in COPD among construction workers exposed to inorganic dust, Eur. Respir. J., vol. 23, no. 3, pp. 402–406, 2004.

D. McLean, B. Glass, A. ’t Mannetje, and J. Douwes, Exposure to respirable crystalline silica in the construction industry—do we have a problem?, N. Z. Med. J., vol. 130, no. 1466, pp. 78–82, Dec. 2017.

M. E. G. L. Lumens and T. Spee, Determinants of exposure to respirable quartz dust in the construction industry, Ann. Occup. Hyg., vol. 45, no. 7, pp. 585–595, 2001.

E. Tjoe Nij et al., Dust control measures in the construction industry, Ann. Occup. Hyg., vol. 47, no. 3, pp. 211–218, 2003.

H. Krasnov et al., Silica exposure during construction activities: Statistical modeling of task-based measurements from the literature, Ann. Occup. Hyg., vol. 57, no. 4, pp. 71–77, 2013.

E. Van Deurssen et al., Quartz and respirable dust in the Dutch construction industry: A baseline exposure assessment as part of a multidimensional intervention approach, Ann. Occup. Hyg., vol. 58, no. 6, pp. 724–738, 2014.

F. Elmoujaddidi and A. Bachir, Perceived risk, safety climate and safety behavior on Moroccan construction sites, Int. J. Occup. Saf. Ergon., vol. 26, no. 1, pp. 1–8, 2018.

C. Murillo, O. Dufaud, N. Bardin-Monnier, O. Lopez, F. Munoz, and L. Perrin, Dust explosions: CFD modeling as a tool to characterize the relevant parameters of the dust dispersion, Chem. Eng. Sci., vol. 104, pp. 103–116, 2013.

A. Klippel, M. Schmidt, O. Muecke, and U. Krause, Dust concentration measurements during filling of a silo and CFD modeling of filling processes regarding exceeding the lower explosion limit, J. Loss Prev. Process Ind., vol. 29, no. 1, pp. 122–137, 2014.

B. E. Launder and D. B. Spalding, Mathemtical Models of Turbulence, J. Appl. Math. Mech., vol. 53, no. 6, p. 424, 1973.

M. Wu et al., Modelling Construction Dust Safety Distance, Advanced Materials Research vol. 1065, pp. 1704–1709, 2015.

ANSYS, Inc.; ANSYS fluent-solver theory guide, 2013.

B. Zhao, C. Yang, X. Yang, and S. Liu, Particle dispersion and deposition in ventilated rooms: Testing and evaluation of different Eulerian and Lagrangian models, Build. Environ., vol. 43, no. 4, pp. 388–397, 2008.

F. Chen, S. C. M. Yu, and A. C. K. Lai, Modeling particle distribution and deposition in indoor environments with a new drift-flux model, Atmos. Environ., vol. 40, no. 2, pp. 357–367, 2006.

Q. Chen, Comparison of different k-ε models for indoor airflow computations, Numer. Heat Transf. Part B Fundam., vol. 28, no. 3, pp. 353–369, 1995.

A. C. K. Lai and F. Chen, Modeling particle deposition and distribution in a chamber with a two-equation Reynolds-averaged Navier-Stokes model, J. Aerosol Sci., vol. 37, no. 12, pp. 1770–1780, 2006.

Samara, M., Vashishtha, A., Watanabe, Y., Suzuki, K., Flow-Field and Performance Study of Coaxial Supersonic Nozzles Operating in Hypersonic Environment, (2020) International Review of Aerospace Engineering (IREASE), 13 (1), pp. 25-39.

Seeni, A., Rajendran, P., Numerical Validation of NACA 0009 Airfoil in Ultra-Low Reynolds Number Flows, (2019) International Review of Aerospace Engineering (IREASE), 12 (2), pp. 83-92.

Pathan, K., Dabeer, P., Khan, S., An Investigation to Control Base Pressure in Suddenly Expanded Flows, (2018) International Review of Aerospace Engineering (IREASE), 11 (4), pp. 162-169.

Penkov, I., Aleksandrov, D., Efficiency Optimization of Mini Unmanned Multicopter, (2017) International Review of Aerospace Engineering (IREASE), 10 (5), pp. 267-276.

Ismail, I., Azmi, A., Pane, E., Kamal, S., Characteristics of Wind Velocity and Turbulence Intensity at Horizontal Axis Wind Turbines Array, (2020) International Journal on Engineering Applications (IREA), 8 (1), pp. 22-31.


  • There are currently no refbacks.

Please send any question about this web site to
Copyright © 2005-2024 Praise Worthy Prize