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One benchmark case (short) (#321)
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‎benchmarks/3D_shockdroplet/case.py‎

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#!/usr/bin/env python3
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import math
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import json
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# athmospheric pressure - Pa (used as reference value)
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patm = 101325
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# Initial Droplet Diameter / Reference length - m
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D0 = 1.0E-3
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# cavity to droplet ratio
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CtD = 0.06
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# cavity relative eccentricity (distance between radii)
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ecc = 0.564
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# initial shock distance from the y axis. Note that the droplet center is located at y = 0. Thus, the distance from the shock to
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# the droplet is about D0/8
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ISD = 5.0/8 * D0
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## pre-shock properties - AIR
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# pressure - Pa
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p0a = patm
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# density - kg/m3
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rho0a = 1.204
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# gamma
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gama = 1.40
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# pi infinity - Pa
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pia = 0
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# speed of sound - M/s
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c_a = math.sqrt( gama * ( p0a + pia ) / rho0a )
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## Droplet - WATER
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# surface tension - N / m
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st = 0.00E+0
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# Delta Pressure - Pa
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DP = -st * 4 / D0
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# initial pressure inside the droplet - Pa
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p0w = p0a - DP
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# density - kg/m3
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rho0w = 1000
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# gama
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gamw = 6.12
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# pi infty - Pa
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piw = 3.43E+08
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# speed of sound - m/s
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c_w = math.sqrt( gamw * ( p0w + piw ) / rho0w )
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# Shock Mach number of interest. Note that the post-shock properties can be defined in terms of either
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# Min or psOp0a. Just comment/uncomment appropriatelly
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Min = 2.4
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## Pos to pre shock ratios - AIR
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# pressure
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psOp0a = ( Min ** 2 -1 ) * 2 * gama / ( gama + 1 ) + 1
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# psOp0a = 4.5
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# density
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rhosOrho0a = ( 1 + ( gama + 1 ) / ( gama - 1) * psOp0a ) / ( ( gama + 1 ) / ( gama - 1) + psOp0a )
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# Mach number of the shocked region - just a checker, as it must return "Min"
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Ms = math.sqrt( ( gama + 1. ) / ( 2. * gama ) * ( psOp0a - 1. ) * ( p0a / ( p0a + pia ) ) + 1. )
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# shock speed of sound - m/s
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ss = Ms * c_a
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## post-shock - AIR
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# pressure - Pa
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ps = psOp0a * p0a
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# density - kg / m3
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rhos = rhosOrho0a * rho0a
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# post shock speed of sound - m/s
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c_s = math.sqrt( gama * (ps + pia) / rhos )
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# velocity at the post shock - m/s
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vel = c_a/gama * (psOp0a - 1.) * p0a / ( p0a + pia ) / Ms
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## Domain boundaries - m
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# x direction
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xb = -8.4707 * D0
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xe = 9.6226 * D0
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#xb = -10 * D0
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#xe = 10 * D0
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# y direction
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yb = 0 * D0
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ye = 10 * D0
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# y direction
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zb = 0 * D0
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ze = 10 * D0
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# Stretching factor, to make sure the domaing is sufficiently large after the mesh stretch
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StF = 4.0
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# number of elements into y direction
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Ny = 100
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# number of elements into z direction
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Nz = 100
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# number of elements into x direction
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Nx = Ny * 2
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# grid delta x if mesh were uniform in x direction - m. Note that I do not need a measure for dy
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dx = ( xe - xb ) / Nx
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# I calculating tend twice; first is an estimate, second is
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# the actual value used. This is because I am getting errors in the
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# post process part every time I approximate the actual Nt by an integer
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# number (think of a smarter way).
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# dimensionless time
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ttilde = 1.92
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# auxiliary simulation physical time - s. This is not YET the total simulation time, as it will be corrected so as to avoid
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# mismatches in simulation and post_process parts. Note that I wrote it this way so I have better control over the # of autosaves
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tendA = ttilde * D0 / vel
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# "CFL" number that I use to control both temporal and spatial discretizations, such that the ratio dx/dt remains constant for a given
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# simulation
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cfl = 0.05
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# time-step - s
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dt = cfl * dx/ ss
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# Save Frequency. Note that the number of autosaves will be SF + 1, as th IC (0.dat) is also saved
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SF = 400
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## making Nt divisible by SF
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# 1 - ensure NtA goes slightly beyond tendA
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NtA = int( tendA//dt + 1 )
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# Array of saves. It is the same as Nt/Sf = t_step_save
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AS = int( NtA // SF + 1 )
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# Nt = total number of steps. Note that Nt >= NtA (so at least tendA is completely simulated)
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Nt = AS * SF
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# total simulation time - s. Note that tend >= tendA
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tend = Nt * dt
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# Configuring case dictionary
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print(json.dumps({
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# Logistics ================================================
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'run_time_info' : 'T',
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# ==========================================================
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# Computational Domain Parameters ==========================
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'x_domain%beg' : xb,
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'x_domain%end' : xe,
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'y_domain%beg' : yb,
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'y_domain%end' : ye,
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'z_domain%beg' : zb,
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'z_domain%end' : ze,
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'stretch_x' : 'T',
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'a_x' : 20,
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'x_a' : -1.2 * D0,
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'x_b' : 1.2 * D0,
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'stretch_y' : 'T',
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'a_y' : 20,
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'y_a' : -0.0 * D0,
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'y_b' : 1.2 * D0,
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'stretch_z' : 'T',
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'a_z' : 20,
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'z_a' : -0.0 * D0,
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'z_b' : 1.2 * D0,
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'm' : Nx,
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'n' : Ny,
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'p' : Nz,
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'cyl_coord' : 'F',
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'dt' : dt,
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't_step_start' : 0,
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't_step_stop' : 100,
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't_step_save' : 100,
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# ==========================================================
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# Simulation Algorithm Parameters ==========================
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'num_patches' : 3,
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'model_eqns' : 2,
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'alt_soundspeed' : 'F',
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'num_fluids' : 2,
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'adv_alphan' : 'T',
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'mpp_lim' : 'T',
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'mixture_err' : 'T',
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'time_stepper' : 3,
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'weno_order' : 3,
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'weno_eps' : 1.0E-16,
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'weno_Re_flux' : 'F',
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'weno_avg' : 'F',
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'mapped_weno' : 'T',
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'riemann_solver' : 2,
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'wave_speeds' : 1,
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'avg_state' : 2,
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'bc_x%beg' : -6,
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'bc_x%end' : -6,
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'bc_y%beg' : -2,
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'bc_y%end' : -3,
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'bc_z%beg' : -2,
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'bc_z%end' : -3,
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# ==========================================================
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# Formatted Database Files Structure Parameters ============
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'format' : 1,
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'precision' : 2,
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'prim_vars_wrt' :'T',
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'parallel_io' :'T',
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# ==========================================================
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# I will use 1 for WATER properties, and 2 for AIR properties
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# Patch 1: Background (AIR - 2) =============================
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'patch_icpp(1)%geometry' : 9,
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'patch_icpp(1)%x_centroid' : (xb+xe) / 2 * StF,
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'patch_icpp(1)%y_centroid' : (yb+ye) / 2 * StF,
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'patch_icpp(1)%z_centroid' : (yb+ye) / 2 * StF,
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'patch_icpp(1)%length_x' : (xe-xb) * StF,
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'patch_icpp(1)%length_y' : (ye-yb) * StF,
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'patch_icpp(1)%length_z' : (ze-zb) * StF,
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'patch_icpp(1)%vel(1)' : 0.0E+00,
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'patch_icpp(1)%vel(2)' : 0.0E+00,
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'patch_icpp(1)%vel(3)' : 0.0E+00,
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'patch_icpp(1)%pres' : p0a,
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'patch_icpp(1)%alpha_rho(1)' : 0.0E+00,
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'patch_icpp(1)%alpha_rho(2)' : rho0a,
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'patch_icpp(1)%alpha(1)' : 0.0E+00,
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'patch_icpp(1)%alpha(2)' : 1.0E+00,
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# ==========================================================
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# Patch 2: Shocked state (AIR - 2) =========================
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'patch_icpp(2)%geometry' : 9,
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'patch_icpp(2)%alter_patch(1)' : 'T',
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'patch_icpp(2)%x_centroid' : -ISD - ( xe - xb ) / 2 * StF,
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'patch_icpp(2)%y_centroid' : ( yb + ye ) / 2 * StF,
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'patch_icpp(2)%z_centroid' : ( zb + ze ) / 2 * StF,
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'patch_icpp(2)%length_x' : ( xe - xb ) * StF,
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'patch_icpp(2)%length_y' : ( ye - yb ) * StF,
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'patch_icpp(2)%length_z' : ( ze - zb ) * StF,
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'patch_icpp(2)%vel(1)' : vel,
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'patch_icpp(2)%vel(2)' : 0.0E+00,
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'patch_icpp(2)%vel(3)' : 0.0E+00,
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'patch_icpp(2)%pres' : ps,
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'patch_icpp(2)%alpha_rho(1)' : 0.0E+00,
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'patch_icpp(2)%alpha_rho(2)' : rhos,
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'patch_icpp(2)%alpha(1)' : 0.0E+00,
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'patch_icpp(2)%alpha(2)' : 1.0E+00,
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# ==========================================================
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# Patch 3: Droplet (WATER - 1) =============================
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'patch_icpp(3)%geometry' : 8,
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'patch_icpp(3)%x_centroid' : 0.0E+00,
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'patch_icpp(3)%y_centroid' : 0.0E+00,
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'patch_icpp(3)%z_centroid' : 0.0E+00,
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'patch_icpp(3)%radius' : D0/2,
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'patch_icpp(3)%alter_patch(1)' : 'T',
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'patch_icpp(3)%vel(1)' : 0.0E+00,
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'patch_icpp(3)%vel(2)' : 0.0E+00,
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'patch_icpp(3)%vel(3)' : 0.0E+00,
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'patch_icpp(3)%pres' : p0w,
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'patch_icpp(3)%alpha_rho(1)' : rho0w,
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'patch_icpp(3)%alpha_rho(2)' : 0.0E+00,
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'patch_icpp(3)%alpha(1)' : 1.0E+00,
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'patch_icpp(3)%alpha(2)' : 0.0E+00,
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# ==========================================================
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# Fluids Physical Parameters ===============================
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'fluid_pp(1)%gamma' : 1.0E+00/(gamw-1),
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'fluid_pp(1)%pi_inf' : gamw*piw/(gamw-1),
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'fluid_pp(2)%gamma' : 1.0E+00/(gama-1),
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'fluid_pp(2)%pi_inf' : gama*pia/(gama-1),
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# ==========================================================
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}))
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# ==============================================================================

‎toolchain/bench.yaml‎

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- slug: 3D_shockdroplet
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path: examples/3D_shockdroplet/case.py
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args: []
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- slug: 3D_turb_mixing
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path: examples/3D_turb_mixing/case.py
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path: benchmarks/3D_shockdroplet/case.py
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args: []

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