Abstract
The requirement to model wind is inherently connected with the modelling of many fire-related phenomena. With its defining influence on fire behaviour, spread and smoke transport, the solution of a problem with and without wind exposure will lead to substantially different results. As wind and fire are phenomena that often require different scales of analysis and approaches to modelling, their coupling is not a trivial task. This paper is the second part of a two-paper review of the coupling between fire safety engineering and computational wind engineering (CWE). Part I contained a review of historical interactions between these disciplines, sorted into six distinct areas: flames, indoor flows, natural ventilators, tunnels, wildfires and urban smoke dispersion. This part of the review contains practical information related to wind modelling in fire analysis, based on various available CWE best practice guidelines. As the authors conclude, the most relevant of these are guidelines related to urban physics and natural ventilation; however, many more are discussed and presented, together with the results of other essential wind engineering experiments and computations. Introduction of wind as a boundary condition is explained in details, both based on wind statistics, or meso/micro scale coupled modelling. The guidelines for wind/fire coupled analyses are subdivided into recommendations for: building the digital domain, spatial and temporal discretisation, the consequences of the choice of a turbulent flow model, and the procedure for optimising CFD analysis of both wind and fire phenomena.
Similar content being viewed by others
Abbreviations
- AIJ:
-
Architectural Institute of Japan
- ABL:
-
Atmospheric boundary layer
- ASET:
-
Available safe evacuation time
- CAARC:
-
Commonwealth Advisory Aeronautical Research Council (standardised test building)
- CFD:
-
Computational fluid dynamics
- CFL:
-
Courant–Friedrichs–Lewy (condition)
- CUBE:
-
Silsoe cube building
- CWE:
-
Computational wind engineering
- DES:
-
Detached eddy simulation
- DNS:
-
Direct numerical simulation
- DSM:
-
Differential stress model
- EVM:
-
Eddy viscosity model
- FDS:
-
Fire dynamics simulator
- FSE:
-
Fire safety engineering
- FSI:
-
Fluid–structure interaction
- LES:
-
Large eddy simulation
- MEM:
-
Mesoscale meteorological model (also MMM)
- MIM:
-
Microscale meteorological model
- NIST:
-
National Institute of Standards and Technology (Gaithersburg, USA)
- NSHEV:
-
Natural smoke and heat exhaust ventilation
- RANS:
-
Reynold’s averaged Navier–Stokes (equations)
- RSET:
-
Required safe evacuation time
- RSM:
-
Reynold’s stress method
- SAS:
-
Scale adaptive simulation
- TTB:
-
Texas Tech Building
- URANS:
-
Unsteady RANS
- WUI:
-
Wildland–urban interface
References
Weinschenk CG, Overholt KJ, Madrzykowski D (2015) Simulation of an attic fire in a wood frame residential structure, Chicago, IL. Fire Technol 52:1629–1658. https://doi.org/10.1007/s10694-015-0533-7
Blocken B (2014) 50 years of computational wind engineering: past, present and future. J Wind Eng Ind Aerodyn 129:69–102. https://doi.org/10.1016/j.jweia.2014.03.008
Franke J, Hirsch C, Jensen AG, Krus HW, Schatzmann M, Westbury PS, Miles SD, Wisse JA, Wright NG (2004) Recommendations on the use of CFD in wind engineering. In: van Beeck JPAJ (ed) Proceedings of the international conference on urban wind engineering and building aerodynamics. COST action C14, impact of wind and storm on city life built environment, pp 1–11
Ramponi R, Blocken B (2012) CFD simulation of cross-ventilation for a generic isolated building: impact of computational parameters. Build Environ 53:34–48. https://doi.org/10.1016/j.buildenv.2012.01.004
Blocken B (2015) Computational fluid dynamics for urban physics: importance, scales, possibilities, limitations and ten tips and tricks towards accurate and reliable simulations. Build Environ 91:219–245. https://doi.org/10.1016/j.buildenv.2015.02.015
Tominaga Y, Mochida A, Yoshie R, Kataoka H, Nozu T, Yoshikawa M, Shirasawa T (2008) AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings. J Wind Eng Ind Aerodyn 96:1749–1761. https://doi.org/10.1016/j.jweia.2008.02.058
Franke J, Hellsten A, Schlünzen H, Carissimo B (2007) Best practice guideline for the CFD simulation of flows in the urban environment. COST Office Brussels
Franke J, Hellsten A, Schlünzen KH, Carissimo B (2011) The COST 732 best practice guideline for CFD simulation of flows in the urban environment: a summary. Int J Environ Pollut 44:419. https://doi.org/10.1504/IJEP.2011.038443
Mochida A, Tominaga Y, Murakami S, Yoshie R, Ishihara T, Ooka R (2002) Comparison of various k–ε models and DSM applied to flow around a high-rise building—report on AIJ cooperative project for CFD prediction of wind environment. Wind Struct 5:227–244. https://doi.org/10.12989/was.2002.5.2_3_4.227
Tominaga Y, Mochida A, Shirasawa T, Yoshie R, Kataoka H, Harimoto K, Nozu T (2004) Cross comparisons of CFD results of wind environment at pedestrian level around a high-rise building and within a building complex. J Asian Archit Build Eng 70:63–70. https://doi.org/10.3130/jaabe.3.63
Yoshie R, Mochida A, Tominaga Y, Kataoka H, Harimoto K, Nozu T, Shirasawa T (2007) Cooperative project for CFD prediction of pedestrian wind environment in the Architectural Institute of Japan. J Wind Eng Ind Aerodyn 95:1551–1578. https://doi.org/10.1016/j.jweia.2007.02.023
Tamura T (2008) Towards practical use of LES in wind engineering. J Wind Eng Ind Aerodyn 96:1451–1471. https://doi.org/10.1016/j.jweia.2008.02.034
Blocken B, Janssen WD, van Hooff T (2012) CFD simulation for pedestrian wind comfort and wind safety in urban areas: General decision framework and case study for the Eindhoven University campus. Environ Model Softw 30:15–34. https://doi.org/10.1016/j.envsoft.2011.11.009
Tominaga Y, Blocken B (2015) Wind tunnel experiments on cross-ventilation flow of a generic building with contaminant dispersion in unsheltered and sheltered conditions. Build Environ 92:452–461. https://doi.org/10.1016/j.buildenv.2015.05.026
Tominaga Y, Blocken B (2016) Wind tunnel analysis of flow and dispersion in cross-ventilated isolated buildings: impact of opening positions. J Wind Eng Ind Aerodyn 155:74–88. https://doi.org/10.1016/j.jweia.2016.05.007
van Hooff T, Blocken B, Tominaga Y (2017) On the accuracy of CFD simulations of cross-ventilation flows for a generic isolated building: comparison of RANS, LES and experiments. Build Environ 114:148–165. https://doi.org/10.1016/j.buildenv.2016.12.019
Uematsu Y, Watanabe K, Sasaki A, Motohiko Y, Hongo T (1999) Wind-induced dynamic response and resultant load estimation of a circular flat roof. J Wind Eng Ind Aerodyn 83:251–261. https://doi.org/10.1016/s0167-6105(99)00076-8
Uematsu Y, Moteki T, Hongo T (2008) Model of wind pressure field on circular flat roofs and its application to load estimation. J Wind Eng Ind Aerodyn 96:1003–1014. https://doi.org/10.1016/j.jweia.2007.06.025
Richards PJ, Hoxey RP (2006) Flow reattachment on the roof of a 6 m cube. J Wind Eng Ind Aerodyn 94:77–99. https://doi.org/10.1016/j.jweia.2005.12.002
Richards PJ, Hoxey RP (2008) Wind loads on the roof of a 6 m cube. J Wind Eng Ind Aerodyn 96:984–993. https://doi.org/10.1016/j.jweia.2007.06.032
Gerhardt H, Kramer C (1992) Effects of building geometry on roof wind loading. J Wind Eng Ind Aerodyn 41–44:1765–1773
Lipecki T (2013) Pressure coefficient on flat roofs of rectangular buildings. In: 6th European and African conference on wind engineering. Robinson College, Cambridge, pp 1–8
Stathopoulos T, Marathe R, Wu H (1999) Mean wind pressures on flat roof corners affected by parapets: field and wind tunnel studies. Eng Struct 21:629–638. https://doi.org/10.1016/s0141-0296(98)00011-x
Kareem A, Lu PC (1992) Pressure fluctuations on flat roofs with parapets. J Wind Eng Ind Aerodyn 41–44:1775–1786
Pindado S, Meseguer J (2003) Wind tunnel study on the influence of different parapets on the roof pressure distribution of low-rise buildings. J Wind Eng Ind Aerodyn 91:1133–1139. https://doi.org/10.1016/s0167-6105(03)00055-2
Blessing C, Chowdhury AG, Lin J, Huang P (2009) Full-scale validation of vortex suppression techniques for mitigation of roof uplift. Eng Struct 31:2936–2946. https://doi.org/10.1016/j.engstruct.2009.07.021
Mooneghi MA, Irwin P, Chowdhury AG (2014) Large-scale testing on wind uplift of roof pavers. J Wind Eng Ind Aerodyn 128:22–36. https://doi.org/10.1016/j.jweia.2014.03.001
Cao J, Tamura Y, Yoshida A (2012) Wind pressures on multi-level flat roofs of medium-rise buildings. J Wind Eng Ind Aerodyn 103:1–15. https://doi.org/10.1016/j.jweia.2012.01.005
Cao J, Tamura Y, Yoshida A (2013) Wind tunnel investigation of wind loads on rooftop model modules for green roofing systems. J Wind Eng Ind Aerodyn 118:20–34. https://doi.org/10.1016/j.jweia.2013.04.006
Pindado S, Meseguer J, Franchini S (2011) Influence of an upstream building on the wind-induced mean suction on the flat roof of a low-rise building. J Wind Eng Ind Aerodyn 99:889–893. https://doi.org/10.1016/j.jweia.2011.06.003
Wu F, Sarkar PP, Mehta KC, Zhao Z (2001) Influence of incident wind turbulence on pressure fluctuations near flat-roof corners. J Wind Eng Ind Aerodyn 89:403–420. https://doi.org/10.1016/s0167-6105(00)00072-6
Tieleman HW, Reinhold TA, Hajj MR (2001) Detailed simulation of pressures in separated/reattached flows. J Wind Eng Ind Aerodyn 89:1657–1670
Tieleman HW, Ge Z, Hajj MR, Reinhold TA (2003) Pressures on a surface-mounted rectangular prism under varying incident turbulence. J Wind Eng Ind Aerodyn 91:1095–1115. https://doi.org/10.1016/s0167-6105(03)00045-x
Kawai H (2002) Local peak pressure and conical vortex on building. J Wind Eng Ind Aerodyn 90:251–263. https://doi.org/10.1016/s0167-6105(01)00218-5
Banks D, Meroney RN, Sarkar PP, Zhao Z, Wu F (2000) Flow visualization of conical vortices on flat roofs with simultaneous surface pressure measurement. J Wind Eng Ind Aerodyn 84:65–85. https://doi.org/10.1016/s0167-6105(99)00044-6
Stathopoulos T, Zhou YS (1995) Numerical evaluation of wind pressures on flat roofs with the k–ε model. Build Environ 30:267–276. https://doi.org/10.1016/0360-1323(94)00038-t
Ono Y, Tamura T, Kataoka H (2008) LES analysis of unsteady characteristics of conical vortex on a flat roof. J Wind Eng Ind Aerodyn 96:2007–2018. https://doi.org/10.1016/j.jweia.2008.02.021
Richards PJ, Hoxey RP, Short LJ (2001) Wind pressures on a 6 m cube. J Wind Eng Ind Aerodyn 89:1553–1564. https://doi.org/10.1016/s0167-6105(01)00139-8
Richards PJ, Hoxey RP (2002) Unsteady flow on the sides of a 6 m cube. J Wind Eng Ind Aerodyn 90:1855–1866. https://doi.org/10.1016/s0167-6105(02)00293-3
Richards PJ, Hoxey RP, Connell BD, Lander DP (2007) Wind-tunnel modelling of the Silsoe Cube. J Wind Eng Ind Aerodyn 95:1384–1399. https://doi.org/10.1016/j.jweia.2007.02.005
Richards PJ, Hoxey RP (2012) Pressures on a cubic building-part 1: full-scale results. J Wind Eng Ind Aerodyn 102:72–86. https://doi.org/10.1016/j.jweia.2011.11.004
Richards PJ, Hoxey RP (2012) Pressures on a cubic building-part 2: quasi-steady and other processes. J Wind Eng Ind Aerodyn 102:87–96. https://doi.org/10.1016/j.jweia.2011.11.003
Easom G (2000) Improved turbulence models for computational wind engineering. Ph.D. Thesis, The University of Nottingham
Wright NGG, Easom GJJ (2003) Non-linear k–ε turbulence model results for flow over a building at full-scale. Appl Math Model 27:1013–1033. https://doi.org/10.1016/s0307-904x(03)00123-9
Richards P, Norris S (2015) LES modelling of unsteady flow around the Silsoe cube. J Wind Eng Ind Aerodyn 144:70–78. https://doi.org/10.1016/j.jweia.2015.03.018
King MF, Gough HL, Halios C, Barlow JF, Robertson A, Hoxey R, Noakes CJ (2017) Investigating the influence of neighbouring structures on natural ventilation potential of a full-scale cubical building using time-dependent CFD. J Wind Eng Ind Aerodyn 169:265–279. https://doi.org/10.1016/j.jweia.2017.07.020
King M-F, Khan A, Delbosc N, Gough HL, Halios C, Barlow JF, Noakes CJ (2017) Modelling urban airflow and natural ventilation using a GPU-based lattice-Boltzmann method. Build Environ 125:273–284. https://doi.org/10.1016/j.buildenv.2017.08.048
Melbourne WH (1980) Comparison of measurements of the CAARC standard tall building model in simulated model wind flows. J Wind Eng Ind Aerodyn 6:78–88
Goliger AM, Milford RV (1988) Sensitivity of the CAARC standard building model to geometric scale and turbulence. J Wind Eng Ind Aerodyn 31:105–123
Tang UF, Kwok KCS (2004) Interference excitation mechanisms on a 3DOF aeroelastic CAARC building model. J Wind Eng Ind Aerodyn 92:1299–1314. https://doi.org/10.1016/j.jweia.2004.08.004
Huang S, Li QS, Xu S (2007) Numerical evaluation of wind effects on a tall steel building by CFD. J Constr Steel Res 63:612–627. https://doi.org/10.1016/j.jcsr.2006.06.033
Huang MF, Lau IWH, Chan CM, Kwok KCS, Li G (2011) A hybrid RANS and kinematic simulation of wind load effects on full-scale tall buildings. J Wind Eng Ind Aerodyn 99:1126–1138. https://doi.org/10.1016/j.jweia.2011.09.003
Daniels SJ, Castro IP, Xie ZT (2013) Peak loading and surface pressure fluctuations of a tall model building. J Wind Eng Ind Aerodyn 120:19–28. https://doi.org/10.1016/j.jweia.2013.06.014
Elshaer A, Aboshosha H, Bitsuamlak G, El Damatty A, Dagnew A (2016) LES evaluation of wind-induced responses for an isolated and a surrounded tall building. Eng Struct 115:179–195. https://doi.org/10.1016/j.engstruct.2016.02.026
Braun AL, Awruch AM (2009) Aerodynamic and aeroelastic analyses on the CAARC standard tall building model using numerical simulation. Comput Struct 87:564–581. https://doi.org/10.1016/j.compstruc.2009.02.002
Levitan MC, Mehta KC (1992) Texas Tech field experiments for wind loads. Part I. Building and pressure measuring system. J Wind Eng Ind Aerodyn 43:1565–1576
Levitan MC, Mehta KC (1992) Texas tech field experiments for wind loads. Part II. Meteorological instrumentation and terrain parameters. J Wind Eng Ind Aerodyn 43:1577–1588
Cochran LS, Cermak JE (1992) Full- and model-scale cladding pressures on the Texas Tech University experimental building. J Wind Eng Ind Aerodyn 41–44:1589–1600
Okada H, Ha Y-C (1992) Comparison of wind tunnel and full-scale pressure measurement tests on the Texas Tech Building. J Wind Eng Ind Aerodyn 41–44:1601–1612
Cheung JCK, Holmes JD, Melbourne WH (1997) Pressures on a 110 scale model of the Texas Tech Building. J Wind Eng Ind Aerodyn 71:529–538
Tieleman HW, Surry D, Mehta KC (1996) Full/model-scale comparison of surface pressures on the Texas Tech experimental building. J Wind Eng Ind Aerodyn 61:1–23. https://doi.org/10.1016/0167-6105(96)00042-6
Lin JX, Surry D, Tieleman HW (1995) The distribution of pressure near roof corners of flat roof low buildings. J Wind Eng Ind Aerodyn 56:235–265. https://doi.org/10.1016/0167-6105(94)00089-v
Lin JX, Surry D (1998) The variation of peak loads with tributary area near corners on flat low building roofs. J Wind Eng Ind Aerodyn 77–78:185–196. https://doi.org/10.1016/s0167-6105(98)00142-1
Endo M, Bienkiewicz B, Ham HJ (2006) Wind-tunnel investigation of point pressure on TTU test building. J Wind Eng Ind Aerodyn 94:553–578. https://doi.org/10.1016/j.jweia.2006.01.019
Selvam RP (1996) Computation of flow around Texas Tech building using k–epsilon and Kato–Launder k–epsilon turbulence model. Eng Struct 18:856–860
Selvam RP (1997) Computation of pressures on Texas Tech University building using large eddy simulation. J Wind Eng Ind Aerodyn 67–68:647–657. https://doi.org/10.1016/s0167-6105(97)00107-4
Stathopoulos T (1997) Computational wind engineering: past achievements and future challenges. J Wind Eng Ind Aerodyn 67–68:509–532. https://doi.org/10.1016/s0167-6105(97)00097-4
Senthooran S, Lee DD, Parameswaran S (2004) A computational model to calculate the flow-induced pressure fluctuations on buildings. J Wind Eng Ind Aerodyn 92:1131–1145. https://doi.org/10.1016/j.jweia.2004.07.002
Blocken B, Stathopoulos T, van Beeck JPAJ (2016) Pedestrian-level wind conditions around buildings: review of wind-tunnel and CFD techniques and their accuracy for wind comfort assessment. Build Environ 100:50–81. https://doi.org/10.1016/j.buildenv.2016.02.004
Revuz J, Hargreaves DM, Owen JS (2012) On the domain size for the steady-state CFD modelling of a tall building. Wind Struct Int J 15:313–329. https://doi.org/10.12989/was.2012.15.4.313
Vanella M, Posa A, Balaras E (2014) Adaptive mesh refinement for immersed boundary methods. J Fluids Eng 136:40901. https://doi.org/10.1115/1.4026415
Vanella M, McDermott R, Forney G (2015) A cut-cell immersed boundary technique for fire dynamics simulation. In: APS division of fluid dynamics meeting abstracts, p L7.003
McGrattan K, Hostikka S, McDermott R, Floyd J, Weinschenk C, Overholt K (2017) Fire Dynamics Simulator User’s Guide, 6th edn
McGrattan K, Hostikka S, McDermott R, Floyd J, Weinschenk C, Overholt K (2015) Fire Dynamics Simulator technical reference guide. Volume 2: verification, 6th edn. NIST Special Publication 1018
McGrattan K, Hostikka S, McDermott R, Floyd J, Weinschenk C, Overholt K (2015) Fire Dynamics Simulator technical reference guide. Volume 3: validation, 6th edn. NIST Special Publication 1018-3
Pope SB (2004) Ten questions concerning the large-eddy simulation of turbulent flows. New J Phys 6:35. https://doi.org/10.1088/1367-2630/6/1/035
Roache PJ (1994) Perspective: a method for uniform reporting of grid refinement studies. J Fluids Eng 116:405. https://doi.org/10.1115/1.2910291
Roache PJ (1997) Quantification of uncertainty in computational fluid dynamics. Annu Rev Fluid Mech 29:123–160. https://doi.org/10.1146/annurev.fluid.29.1.123
van Hooff T, Blocken B (2010) Coupled urban wind flow and indoor natural ventilation modelling on a high-resolution grid: a case study for the Amsterdam ArenA stadium. Environ Model Softw 25:51–65. https://doi.org/10.1016/j.envsoft.2009.07.008
McGrattan K, McDermott R, Floyd J, Hostikka S, Forney G, Baum H (2012) Computational fluid dynamics modelling of fire. Int J Comput Fluid Dyn 26:349–361. https://doi.org/10.1080/10618562.2012.659663
Franke J (2007) Introduction to the prediction of wind loads on buildings by computational wind engineering (CWE). In: Stathopoulos T, Baniotopoulos CC (eds) Wind effects on buildings and design of wind-sensitive structures. Springer, Vienna, pp 67–103
Murakami S (1998) Overview of turbulence models applied in CWE-1997. J Wind Eng Ind Aerodyn 74–76:1–24. https://doi.org/10.1016/s0167-6105(98)00004-x
Argyropoulos CD, Markatos NC (2015) Recent advances on the numerical modelling of turbulent flows. Appl Math Model 39:693–732. https://doi.org/10.1016/j.apm.2014.07.001
Office of Nuclear Regulatory Research (2012) Computational fluid dynamics best practice guidelines for dry cask applications draft report for comment
Launder BE, Spalding JL (1972) Lectures in mathematical models of turbulence. Academic Press, New York
Yakhot V, Orszag SAA, Thangam S, Gatski TBB, Speziale CGG (1992) Development of turbulence models for shear flows by a double expansion technique. Phys Fluids A Fluid Dyn 4:1510. https://doi.org/10.1063/1.858424
Shih TH, Liou WW, Shabbir A, Yang Z, Zhu J (1995) A new k–e eddy viscosity model for high Reynolds number turbulent flows. Comput Fluids 24:227–238
Wilcox DC (1988) Re-assessment of the scale-determining equation for advanced turbulence models. AIAA J 26:1299–1310
Menter FR (1994) Two-equation eddy-viscosity turbulence models for engineering applications. AIAA J 32:1598–1605. https://doi.org/10.2514/3.12149
Smagorinsky J (1963) General circulation experiments with the primitive equations. I. The basic experiment. Mon Weather Rev 91:99–164
Germano M, Piomelli U, Moin P, Cabot WH (1991) A dynamic subgrid-scale eddy viscosity model. Phys Fluids A 3:1760–1765
Sarwar M, Moinuddin K, Thorpe GR (2013) Large eddy simulation over backwards facing step using fire dynamics simulator (FDS). In: Fourteenth Asian congress of fluid dynamics, pp 469–474
A. Toms B (2015) Large-eddy simulation of flow over a backward facing step: assessment of inflow boundary conditions, eddy viscosity models, and wall functions. J Appl Mech Eng. https://doi.org/10.4172/2168-9873.1000169
Tamura T, Nozawa K, Kondo K (2008) AIJ guide for numerical prediction of wind loads on buildings. J Wind Eng Ind Aerodyn 96:1974–1984. https://doi.org/10.1016/j.jweia.2008.02.020
Spalart PR (2009) Detached-eddy simulation. Annu Rev Fluid Mech 41:181–202. https://doi.org/10.1146/annurev.fluid.010908.165130
Blocken B, Stathopoulos T, Carmeliet J (2007) CFD simulation of the atmospheric boundary layer: wall function problems. Atmos Environ 41:238–252. https://doi.org/10.1016/j.atmosenv.2006.08.019
Wieringa J (1992) Updating the Davenport roughness classification. J Wind Eng Ind Aerodyn 41:357–368. https://doi.org/10.1016/0167-6105(92)90434-c
Richards PJ, Hoxey RP (1993) Appropriate boundary conditions for computational wind engineering models using the k–ε turbulence model. In: Computational wind engineering 1. Elsevier, Amsterdam, pp 145–153
Porté-Agel F, Wu Y-T, Lu H, Conzemius RJ (2011) Large-eddy simulation of atmospheric boundary layer flow through wind turbines and wind farms. J Wind Eng Ind Aerodyn 99:154–168. https://doi.org/10.1016/j.jweia.2011.01.011
Shur ML, Spalart PR, Strelets MK, Travin AK (2014) Synthetic turbulence generators for RANS-LES interfaces in zonal simulations of aerodynamic and aeroacoustic problems. Flow Turbul Combust 93:63–92. https://doi.org/10.1007/s10494-014-9534-8
Tabor GR, Baba-Ahmadi MH (2010) Inlet conditions for large eddy simulation: a review. Comput Fluids 39:553–567. https://doi.org/10.1016/j.compfluid.2009.10.007
Dyer AJ (1974) A review of flux-profile relationships. Bound Layer Meteorol 7:363–372. https://doi.org/10.1007/bf00240838
Richards PJ, Norris SE (2011) Appropriate boundary conditions for computational wind engineering models revisited. J Wind Eng Ind Aerodyn 99:257–266. https://doi.org/10.1016/j.jweia.2010.12.008
Hargreaves DM, Wright NG (2007) On the use of the k–ε model in commercial CFD software to model the neutral atmospheric boundary layer. J Wind Eng Ind Aerodyn 95:355–369. https://doi.org/10.1016/j.jweia.2006.08.002
Yang Y, Gu M, Chen S, Jin X (2009) New inflow boundary conditions for modelling the neutral equilibrium atmospheric boundary layer in computational wind engineering. J Wind Eng Ind Aerodyn 97:88–95. https://doi.org/10.1016/j.jweia.2008.12.001
Parente A, Gorlé C, van Beeck J, Benocci C (2011) Improved k–ε model and wall function formulation for the RANS simulation of ABL flows. J Wind Eng Ind Aerodyn 99:267–278. https://doi.org/10.1016/j.jweia.2010.12.017
Richards PJ, Norris SE (2015) Appropriate boundary conditions for a pressure driven boundary layer. J Wind Eng Ind Aerodyn 142:43–52. https://doi.org/10.1016/j.jweia.2015.03.003
Deaves DM, Harris RI (1978) A mathematical model of the structure of strong winds. CIRIA, London
Bęc J, Lipecki T, Błazik-Borowa E (2011) Research on wind structure in the wind tunnel of wind engineering laboratory of Cracow University of Technology. J Phys Conf Ser 318:72003. https://doi.org/10.1088/1742-6596/318/7/072003
Tominaga Y, Mochida A, Murakami S, Sawaki S (2008) Comparison of various revised k–ε models and LES applied to flow around a high-rise building model with 1:1:2 shape placed within the surface boundary layer. J Wind Eng Ind Aerodyn 96:389–411. https://doi.org/10.1016/j.jweia.2008.01.004
CEN (2010) EN 1991-1-4:2005+A1: Eurocode 1: actions on structures—part 1–4: general actions–wind actions
ASCE (2006) ASCE/SEI 7-05 minimum design loads for buildings and other structures
AS-NZS (2011) AS-NZS 1170-2 structural design actions—part 2: wind actions
AIJ (2004) AIJ-RBL-1996 recommendations for loads on buildings
ISO (2009) ISO 4354:2009 wind actions on structures
Dyrbye C, Hansen S. (1997) Wind loads on structures. Wiley, New York
Holmes JD (2004) Wind loading of structures. Taylor & Francis, London
Simiu E, Scanlan RH (1996) Wind effects on structures. Wiley, New York
Tamura Y, Kareem A (2014) Advanced structural wind engineering. Springer, Berlin
Hangan H, Refan M, Jubayer C, Romanic D, Parvu D, LoTufo J, Costache A (2017) Novel techniques in wind engineering. J Wind Eng Ind Aerodyn 171:12–33. https://doi.org/10.1016/j.jweia.2017.09.010
Schlünzen KH, Grawe D, Bohnenstengel SI, Schlüter I, Koppmann R (2011) Joint modelling of obstacle induced and mesoscale changes—current limits and challenges. J Wind Eng Ind Aerodyn 99:217–225. https://doi.org/10.1016/j.jweia.2011.01.009
Masson V (2006) Urban surface modeling and the meso-scale impact of cities. Theor Appl Climatol 84:35–45. https://doi.org/10.1007/s00704-005-0142-3
Garuma GF (2017) Review of urban surface parameterizations for numerical climate models. Urban Clim. https://doi.org/10.1016/j.uclim.2017.10.006
Ryu YH, Bou-Zeid E, Wang ZH, Smith JA (2016) Realistic representation of trees in an urban canopy model. Bound Layer Meteorol 159:193–220. https://doi.org/10.1007/s10546-015-0120-y
Krayenhoff ES, Christen A, Martilli A, Oke TR (2014) A multi-layer radiation model for urban neighbourhoods with trees. Bound Layer Meteorol 151:139–178. https://doi.org/10.1007/s10546-013-9883-1
Yamada T, Koike K (2011) Downscaling mesoscale meteorological models for computational wind engineering applications. J Wind Eng Ind Aerodyn 99:199–216. https://doi.org/10.1016/j.jweia.2011.01.024
Liu Y, Warner T, Liu Y, Vincent C, Wu W, Mahoney B, Swerdlin S, Parks K, Boehnert J (2011) Simultaneous nested modeling from the synoptic scale to the LES scale for wind energy applications. J Wind Eng Ind Aerodyn 99:308–319. https://doi.org/10.1016/j.jweia.2011.01.013
Mochida A, Iizuka S, Tominaga Y, Lun IYF (2011) Up-scaling CWE models to include mesoscale meteorological influences. J Wind Eng Ind Aerodyn 99:187–198. https://doi.org/10.1016/j.jweia.2011.01.012
Tominaga Y, Mochida A, Okaze T, Sato T, Nemoto M, Motoyoshi H, Nakai S, Tsutsumi T, Otsuki M, Uamatsu T, Yoshino H (2011) Development of a system for predicting snow distribution in built-up environments: combining a mesoscale meteorological model and a CFD model. J Wind Eng Ind Aerodyn 99:460–468. https://doi.org/10.1016/j.jweia.2010.12.004
Mughal MO, Lynch M, Yu F, Sutton J (2018) Forecasting and verification of winds in an East African complex terrain using coupled mesoscale- and micro-scale models. J Wind Eng Ind Aerodyn 176:13–20. https://doi.org/10.1016/j.jweia.2018.03.006
Baik J-J, Park S-B, Kim J-J (2009) Urban flow and dispersion simulation using a CFD model coupled to a mesoscale model. J Appl Meteorol Climatol 48:1667–1681. https://doi.org/10.1175/2009jamc2066.1
Tewari M, Kusaka H, Chen F, Coirier WJ, Kim S, Wyszogrodzki AA, Warner TT (2010) Impact of coupling a microscale computational fluid dynamics model with a mesoscale model on urban scale contaminant transport and dispersion. Atmos Res 96:656–664. https://doi.org/10.1016/j.atmosres.2010.01.006
Chahine A, Dupont E, Musson-Genon L, Legorgeu C, Carissimo B (2018) Long term modelling of the dynamical atmospheric flows over SIRTA site. J Wind Eng Ind Aerodyn 172:351–366. https://doi.org/10.1016/j.jweia.2017.09.004
Temel O, Bricteux L, van Beeck J (2018) Coupled WRF-OpenFOAM study of wind flow over complex terrain. J Wind Eng Ind Aerodyn 174:152–169. https://doi.org/10.1016/j.jweia.2018.01.002
Gopalan H, Gundling C, Brown K, Roget B, Sitaraman J, Mirocha JD, Miller WO (2014) A coupled mesoscale–microscale framework for wind resource estimation and farm aerodynamics. J Wind Eng Ind Aerodyn 132:13–26. https://doi.org/10.1016/j.jweia.2014.06.001
Kwak KH, Baik JJ, Ryu YH, Lee SH (2015) Urban air quality simulation in a high-rise building area using a CFD model coupled with mesoscale meteorological and chemistry-transport models. Atmos Environ 100:167–177. https://doi.org/10.1016/j.atmosenv.2014.10.059
Forthofer JM, Butler BW, Mchugh CW, Finney MA, Bradshaw LS, Stratton RD, Shannon KS, Wagenbrenner NS (2014) A comparison of three approaches for simulating fine-scale surface winds in support of wildland fire management. Part II. An exploratory study of the effect of simulated winds on fire growth simulations. Int J Wildl Fire 23:982–994. https://doi.org/10.1071/wf12090
Forthofer JM, Butler BW, Wagenbrenner NS (2014) A comparison of three approaches for simulating fine-scale surface winds in support of wildland fire management. Part I. Model formulation and comparison against measurements. Int J Wildland Fire 23:969–981. https://doi.org/10.1071/wf12089
Wagenbrenner NS, Forthofer JM, Lamb BK, Shannon KS, Butler BW (2016) Downscaling surface wind predictions from numerical weather prediction models in complex terrain with WindNinja. Atmos Chem Phys 16:5229–5241. https://doi.org/10.5194/acp-16-5229-2016
Sanjuan G, Brun C, Margalef T, Cortés A (2016) Determining map partitioning to minimize wind field uncertainty in forest fire propagation prediction. J Comput Sci 14:28–37. https://doi.org/10.1016/j.jocs.2016.01.006
Sanjuan G, Margalef T, Cortés A (2016) Applying domain decomposition to wind field calculation. Parallel Comput 57:185–196. https://doi.org/10.1016/j.parco.2016.05.013
Sanjuan G, Margalef T, Cortés A (2018) Wind field parallelization based on Schwarz alternating domain decomposition method. Future Gener Comput Syst 82:565–574. https://doi.org/10.1016/j.future.2016.12.041
Brun C, Margalef T, Cortés A (2013) Coupling diagnostic and prognostic models to a dynamic data driven forest fire spread prediction system. Procedia Comput Sci 18:1851–1860. https://doi.org/10.1016/j.procs.2013.05.354
Węgrzyński W, Krajewski G, Sulik P (2016) Case study 2—production and storage building (Poland). In: 11th conference on performance-based codes and fire safety design methods. SFPE, Warszawa
CEN (2005) EN 1991-1-4:2005 Eurocode 1: actions on structures—part 1–4: general actions–wind actions
Krajewski G, Węgrzyński W (2018) Use of computational fluid dynamics in optimization of natural smoke ventilation from a historical shopping mall—case study. AIP Conf Proc 1922:110009. https://doi.org/10.1063/1.5019112
Morgan HP (1986) The horizontal flow of buoyant gases toward an opening. Fire Saf J 11:193–200. https://doi.org/10.1016/0379-7112(86)90062-7
Alpert RL (1975) Turbulent ceiling-jet induced by large-scale fires. Combust Sci Technol 11:197–213. https://doi.org/10.1080/00102207508946699
Karlsson B, Quintiere JG (2000) Enclosure fire dynamics. CRC Press, Boca Raton
Quintiere JG (2006) Fundamentals of fire phenomena. Wiley, New York
Babrauskas V (2003) Ignition handbook. Fire Science Publishers, Issaquah
Drysdale DD (2011) An introduction to fire dynamics, 3rd edn. Wiley, New York
Węgrzyński W, Sulik P (2016) The philosophy of fire safety engineering in the shaping of civil engineering development. Bull Polish Acad Sci Tech Sci 64:719–730. https://doi.org/10.1515/bpasts-2016-0081
McGrattan K, Miles S (2016) Modeling fires using computational fluid dynamics (CFD). In: SFPE handbook of fire protection engineering. Springer, New York, pp 1034–1065
Sztarbała G (2013) An estimation of conditions inside construction works during a fire with the use of computational fluid dynamics. Bull Polish Acad Sci Tech Sci 61:155–160. https://doi.org/10.2478/bpasts-2013-0014
Merci B, Beji T (2016) Fluid mechanics aspects of fire and smoke dynamics in enclosures. CRC Press, Boca Raton
Kuligowski ED (2016) Human behavior in fire. In: Hurley MJ, Gottuk DT, Hall JR Jr, Harada K, Kuligowski ED, Puchovsky M, Torero JL, Watts JM Jr, Wieczorek CJ (eds) SFPE handbook of fire protection engineering. Springer, New York, pp 2070–2114
Yamada T, Akizuki Y (2016) Visibility and human behavior in fire smoke. In: SFPE handbook of fire protection engineering. Springer, New York, pp 2181–2206
Purser DA, McAllister JL (2016) Assessment of hazards to occupants from smoke, toxic gases, and heat. In: SFPE handbook of fire protection engineering. Springer, New York, pp 2308–2428
Węgrzyński W, Vigne G (2017) Experimental and numerical evaluation of the influence of the soot yield on the visibility in smoke in CFD analysis. Fire Saf J 91:389–398. https://doi.org/10.1016/j.firesaf.2017.03.053
Perez Segovia JF, Beji T, Merci B (2017) CFD simulations of pool fires in a confined and ventilated enclosure using the Peatross–Beyler correlation to calculate the mass loss rate. Fire Technol 53:1669–1703. https://doi.org/10.1007/s10694-017-0654-2
Bari S, Naser J (2005) Simulation of smoke from a burning vehicle and pollution levels caused by traffic jam in a road tunnel. Tunn Undergr Space Technol 20:281–290. https://doi.org/10.1016/j.tust.2004.09.002
Yu LX, Beji T, Zadeh SE, Liu F, Merci B (2016) Simulations of smoke flow fields in a wind tunnel under the effect of an air curtain for smoke confinement. Fire Technol 52:1–20. https://doi.org/10.1007/s10694-016-0598-y
Król M, Król A (2017) Multi-criteria numerical analysis of factors influencing the efficiency of natural smoke venting of atria. J Wind Eng Ind Aerodyn 170:149–161. https://doi.org/10.1016/j.jweia.2017.08.012
Cooper LY (1983) A concept for estimating available safe egress time in fires. Fire Saf J 5:135–144. https://doi.org/10.1016/0379-7112(83)90006-1
Cooper LY (1982) A mathematical model for estimating available safe egress time in fires. Fire Mater 6:135–144. https://doi.org/10.1002/fam.810060307
Babrauskas V, Fleming JM, Don Russell B (2010) RSET/ASET, a flawed concept for fire safety assessment. Fire Mater 34:341–355. https://doi.org/10.1002/fam.1025
Purser D (2003) ASET and RSET: addressing some issues in relation to occupant behaviour and tenability. Fire Saf Sci. https://doi.org/10.3801/iafss.fss.7-91
Kuligowski ED, Gwynne SM V, Hulse LM, Kinsey MJ (2016) Guidance for the model developer on representing human behavior in egress models. Fire Technol 52:775–800. https://doi.org/10.1007/s10694-015-0501-2
Węgrzyński W, Krajewski G (2017) Influence of wind on natural smoke and heat exhaust system performance in fire conditions. J Wind Eng Ind Aerodyn 164:44–53. https://doi.org/10.1016/j.jweia.2017.01.014
Węgrzyński W, Krajewski G, Kimbar G (2018) A concept of external aerodynamic elements in improving the performance of natural smoke ventilation in wind conditions. AIP Conf Proc 1922:110006. https://doi.org/10.1063/1.5019109
Lovreglio R, Ronchi E, Maragkos G, Beji T, Merci B (2016) An integrated dynamic approach for the impact of a toxic gas dispersion hazard: coupling human behaviour and dispersion modelling. J Hazard Mater 318:758–771. https://doi.org/10.1016/j.jhazmat.2016.06.015
Mouilleau Y, Champassith A (2009) CFD simulations of atmospheric gas dispersion using the fire dynamics simulator (FDS). J Loss Prev Process Ind 22:316–323. https://doi.org/10.1016/j.jlp.2008.11.009
Tohidi A, Kaye NB (2017) Stochastic modeling of firebrand shower scenarios. Fire Saf J 91:91–102. https://doi.org/10.1016/j.firesaf.2017.04.039
Tohidi A, Kaye NB (2017) Comprehensive wind tunnel experiments of lofting and downwind transport of non-combusting rod-like model firebrands during firebrand shower scenarios. Fire Saf J 90:95–111. https://doi.org/10.1016/j.firesaf.2017.04.032
Rios O, Jahn W, Rein G (2014) Forecasting wind-driven wildfires using an inverse modelling approach. Nat Hazards Earth Syst Sci 14:1491–1503. https://doi.org/10.5194/nhess-14-1491-2014
Węgrzyński W, Turkowski P (2015) Fire resistance of a roof tensile structure in parametric fire conditions calculated using CFD simulations and simplified calculation methods. In: SFPE Europe conference on fire safety engineering
Węgrzyński W, Krajewski G (2015) ITB technical report 2752.3/15/Z00NP
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Węgrzyński, W., Lipecki, T. & Krajewski, G. Wind and Fire Coupled Modelling—Part II: Good Practice Guidelines. Fire Technol 54, 1443–1485 (2018). https://doi.org/10.1007/s10694-018-0749-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10694-018-0749-4