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Simulations and experimental study of DDT behind a single obstacle

This study investigates DDT phenomena behind an obstacle, focusing on combustion models, reaction rates, and numerical simulations. Experimental and numerical results are analyzed to understand the dynamics of explosions. The research explores different blockage ratios and hydrogen concentrations. The findings shed light on the challenges and mechanisms influencing the occurrence of DDT.

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Simulations and experimental study of DDT behind a single obstacle

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  1. Simulations and experimental study of DDT behind a single obstacle André Vagner Gaathaug Knut Vaagsaether Dag Bjerketvedt Faculty of Technology Telemark University College Norway

  2. Setup of study • 100 x 100 m2quadratic cross sectional area, 3000 mm long • One obstacle with variable blockage ratio BR=0.5 to BR=0.9 • Spark ignition at the closed end, open at the other • 5 and 6 pressure trancducers • 15% to 40% Hydrogen in air mixture

  3. Why this work? • Not smooth channel • Not obstructed channel • Not unconfined jet • Earlier work by Vaagsaether and Knudsen • Circular geometry • Various blockage ratio • BR=Blocked area / open area • Investigated where DDT occur, a possibly why. • Challenges related to the problem • Driving section, the first meter • Investigated earlier by the authors

  4. Experimental study Focus

  5. Experimental results High speed frames with sketches of their phenomena. BR=0.84, H2 conc. 30%, 30000 fps

  6. Experimental results High speed film. BR=0.84, H2 conc. 28%, 30000 fps

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  15. Numerical methods • In house code by K. Vaagsaether – FLIC • Flux LImited Centered scheme • 2D TVD method • Details by K. Vaagsaether and E.F. Toro • Euler equation with ideal gas equation of state • Conservation of mass • Conservation of momentum • Conservation of energy • Conservation of turbulent kinetic energy 1. Toro, E.F., Riemann Solvers and Numerical Methods for Fluid Dynamics: A Practical Introduction, 1999, Springer-Verlag, Berlin, Heidelberg. 2. Vaagsaether, K., Modelling of Gas Explosions, PhD thesis, 2010, Telemark University College – NTNU, 2010:221.

  16. Combustion model • Progress variable β is conserved and can represent a concentration. • β =1 are products, while β =0 are reactants • Progress variable α is conserved and represents induction time • α<1 ”not hot enough”, while α=1 auto ignite

  17. Combustion model • The reaction rate is a maximum of two rates. • One turbulent reaction rate and one kinetic reaction rate. • Turbulent burning velocity from Flohr and Pitsch. Original from Zimont (1979), model constant A = 0.52 from Zimont and Lipatnikov (1995). • Flohr, P. and Pitsch, H., Centre for Turbulent Research, Proceedings • of the Summer Program, 2000. • Zimont, V. L. 1979 The theory of turbulent combustion at high • Reynolds numbers. Combust. Expl. and Shock Waves. 15. • Zimont, V. L., & Lipatnikov, A. N. 1995 A numerical model of • premixed turbulent combustion of gases. Chem. Phys. Reports. 14(7).

  18. Combustion model • The kinetic model is given by Korobeinikov et.al. 2002 • Then α is linked to the induction time τ by • Need model for induction time. Korobeinikov, M.S., Levin, V.A., Markov, V.V. and Chernyi, G.G, Propagation of Blast in a Combustible Gas, Astronautica Acta, 17, 1972, pp. 529-537.

  19. Induction time • Sichel et.al. model • Del Alamo et.al. model 1. Sichel, M., Tonello, N.A., Oran, E.S. and Jones, D.A., A Two–Step Kinetics Model for Numerical Simulation of Explosions and Detonations in H2-O2 Mixtures, Proc. R. Soc. Lond. A, 458, 2002, pp. 49-82. 2. Del Alamo, G., Williams, F.A. and Sanchez, A.L., Hydrogen–Oxygen Induction Times Above Crossover Temperatures, Combustion Science and Technology, 176, 2004, pp. 1599–1626.

  20. Reaction rates • Turbulent reaction rate ωT is relevant for deflagrations, where diffusion and mixing is the dominante mechanism. • Kinetic reaction rate ωK is relevant for detonations, where shock compression/heating is the dominante mechanism. 1 0 1. Vaagsaether, K., Modelling of Gas Explosions, PhD thesis, 2010, Telemark University College – NTNU, 2010:221.

  21. Numerical simulations

  22. Numerical results • Focus on the combustion behind the obstacle • Driver section (0 -> 1000 mm) challenge to reproduce • Several small explosions along the walls add up to DDT • Small scale mixing • Pockets of hot reactants • Very dependant on induction time model • Kinetic reaction rate is important

  23. Numerical results Numerical schlieren pictures from the simulation case with BR=0.84 and 35% H2 in air. Frames are not equidistant in time. Induction model: del Alamo.

  24. Numerical results Numerical schlieren pictures from the simulation case with BR=0.84 and 30% H2 in air. Frames are not equidistant in time. Induction model: del Alamo.

  25. Film Case with BR=0.75 and 30% H2 in air. Induction model: del Alamo.

  26. Numerical results Density gradient along top wall • Comparison of one case with two induction time models • One DDT, one without • Need to create large enough volume to explode. • Not too long and not too short induction time • “Draw to bow”

  27. Conclusion • Total run up distance from 1.1 m to 1.6 m in experiments. • Small explosions behind the flame front. • Onset of detonation at the walls, mostly top wall. • Simulations with two step combustion model. • Turbulent reaction rate for deflagrations. • Kinetic reaction rate for detonations. • Several small explosions along the walls. • Dependant on induction time model.

  28. Thank you

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