📄 flow3_input.txt
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FLOW.INP 07 June 1994 ********************************************************************INPUT FILESFLOW allows the user to specify values for certain control parameters, and to request that the code "restart" the solutionprocedure once parameters have been changed. List of input files:-------------------The first input file, "INPUT.01", is considered a standard run, against which most of the others are compared.# INPUT.01 ## Mesh: 21 by 7, # Weights: (1, 0, 0), # Reynolds: 1.0# Parameters: 1 inflow, 3 bump.# Type: 0, optimization## INPUT.02 ## Mesh: 21 by 7# Weights: * (1, 0, 0.001)# Reynolds: 1.0# Parameters: 1 inflow, 3 bump.# Type: 0, optimization## INPUT.03## Mesh: 21 by 7# Weights: * (1, 0, 0.001), # * (1, 0, 0.00001)# Reynolds: 1.0# Parameters: 1 inflow, 3 bump.# Type: 0, optimization## INPUT.04# # Mesh: 21 by 7# Weights: * (1, 0, 0.001),# * (1, 0, 0.00001),# * (1, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 3 bump.# Type: 0, optimization## INPUT.05 ## Mesh: 21 by 7# Weights: * (1, 0, 0.001),# * (1, 0, 0.00001),# * (1, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 3 bump.# MAXOPT: * 20# Type: 0, optimization## INPUT.06 ## Mesh: 21 by 7# Weights: * (1, 0, 0.001),# * (1, 0, 0.00001),# * (1, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 3 bump.# MAXOPT: * 10# Type: 0, optimization## INPUT.07 ## Mesh: 21 by 7# Weights: (1, 0, 0)# Reynolds: * 10.0# Parameters: 1 inflow, 3 bump.# Type: 0, optimization## INPUT.08 ## Mesh: 21 by 7# Weights: (1, 0, 0)# Reynolds: * 25.0# Parameters: 1 inflow, 3 bump.# Type: 0, optimization## INPUT.09 ## Mesh: 21 by 7# Weights: (1, 0, 0)# Reynolds: * 50.0# Parameters: 1 inflow, 3 bump.# Type: 0, optimization# # INPUT.10 ## Mesh: * 41 by 13# Weights: (1, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 3 bump.# Type: 0, optimization## INPUT.11 ## Mesh: 21 by 7# Weights: (1, 0, 0)# Reynolds: 1.0# Parameters: * 3 inflow, 1 bump.# Type: 0, optimization## INPUT.12 ## Mesh: 21 by 7# Weights: (1, 0.001, 0)# (1, 0.00001, 0)# Reynolds: 1.0# Parameters: * 3 inflow, 1 bump.# Type: 0, optimization## INPUT.13# # Mesh: 21 by 7# Weights: (1, 0.001, 0)# (1, 0.00001, 0)# Reynolds: 1.0# Parameters: * 3 inflow, 1 bump.# Type: 0, optimization## INPUT.14 ## Mesh: 21 by 7, # Weights: (1, 0, 0), # Reynolds: 1.0# Parameters: 1 inflow, 3 bump.# Type: 0, optimization## INPUT.15 ## Mesh: 21 by 7, # Weights: (1, 0, 0), # Reynolds: 1.0# Parameters: * 5 inflow, 0 bump.# Type: 0, optimization## INPUT.16 ## Mesh: 21 by 7, # Weights: (1, 0, 0), # Reynolds: 1.0# Parameters: 1 inflow, 3 bump.# Type: * 1, 1D march.## INPUT.17 ## Mesh: 21 by 7, # Weights: (1, 0, 0), # Reynolds: 1.0# Parameters: * 1 bump.# Type: 0, optimization## INPUT.18 ## Mesh: 21 by 7, # Weights: (1, 0, 0), # Reynolds: 1.0# Parameters: 1 inflow, 3 bump.# Type: * 1, 1D march.## INPUT.19 # # Mesh: 21 by 7, # Weights: (1, 0, 0), # Reynolds: 1.0# Parameters: 1 inflow, 3 bump.# Type: * 2, 2D march.## INPUT.20 ## Mesh: 21 by 7, # Weights: (1, 0, 0), # Reynolds: 1.0# Parameters: 1 inflow, 3 bump.# Type: * 2, 2D march.## INPUT.21 ## Mesh: 21 by 7# Weights: (1, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 3 bump# Type: 2, 2D march.## INPUT.22 ## Mesh: 21 by 7# Weights: (1, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 3 bump# Type: 1, 1D march.## INPUT.23## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 0 bump# Type: 3, sensitivity## INPUT.24## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 3 inflow, 0 bump# Type: 3, sensitivity## INPUT.25## Mesh: 21 by 7# Weights: (1, 0, 0, 0.01, 0)# Reynolds: 1.0# Parameters: 3 inflow, 0 bump# Type: 3, sensitivity## INPUT.26## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0.01)# Reynolds: 1.0# Parameters: 1 inflow, 3 bump# Type: 3, sensitivity## INPUT.27## Mesh: 21 by 7# Weights: (1, 1, 1, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 1 bump# Type: 3, sensitivity#********************************************************************# INPUT.101## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 3 bump# Type: 3, optimization using sensitivities# Ipred: 0, use 0 for start.## INPUT.102## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 3 bump# Type: 3, optimization using sensitivities.# Ipred: 1, use previous solution for start.## INPUT.103## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 3 bump# Type: 3, optimization using sensitivities.# Ipred: 2, use Euler prediction for start.## INPUT.104## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 0 bump# Type: 3, optimization using sensitivities# Ipred: 0, use 0 for start.## INPUT.105## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 0 bump# Type: 3, optimization using sensitivities# Ipred: 1, use previous solution for start.## INPUT.106## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 0 bump# Type: 3, optimization using sensitivities# Ipred: 2, use Euler prediction for start.## INPUT.107## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 0 inflow, 1 bump# Type: 3, optimization using sensitivities# Ipred: 0, use 0 for start.## INPUT.108## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 0 inflow, 1 bump# Type: 3, optimization using sensitivities# Ipred: 1, use previous point for start.## INPUT.109## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 0 inflow, 1 bump# Type: 3, optimization using sensitivities# Ipred: 2, use Euler prediction for start.## INPUT.110## Mesh: 41 by 13# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 0 inflow, 1 bump# Type: 3, optimization using sensitivities# Ipred: 0, use 0 for start.## INPUT.111## Mesh: 41 by 13# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 0 inflow, 1 bump# Type: 3, optimization using sensitivities# Ipred: 1, use previous point for start.## INPUT.112## Mesh: 41 by 13# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 0 inflow, 1 bump# Type: 3, optimization using sensitivities# Ipred: 2, use Euler prediction for start.## INPUT.113## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 1 bump# Type: 3, optimization using sensitivities# Ipred: 0, use 0 for start.## INPUT.114## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 1 bump# Type: 3, optimization using sensitivities# Ipred: 1, use previous point for start.## INPUT.115## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 1 bump# Type: 3, optimization using sensitivities# Ipred: 2, use Euler prediction for start.#********************************************************************# INPUT.201## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 3 bump# Type: 3, optimization using sensitivities.# ipred: 2, use Euler prediction for start.# ijac: 1, always update Newton matrix.## INPUT.202## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 3 bump# Type: 3, optimization using sensitivities.# ipred: 2, use Euler prediction for start.# ijac: 4, Update Newton matrix every IJAC steps.## INPUT.203## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 3 bump# Type: 3, optimization using sensitivities.# ipred: 2, use Euler prediction for start.# ijac: 10, Update Newton matrix every IJAC steps.#********************************************************************# INPUT.301## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 1 bump# Type: 3, optimization using sensitivities# ipred: 2, use Euler prediction for start.# ijac: 1, update Newton matrix every step.## INPUT.302## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 100.0# Parameters: 1 inflow, 1 bump# Type: 3, optimization using sensitivities.# ipred: 2, use Euler prediction for start.# ijac: 1, update Newton matrix every step.## INPUT.303## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 100.0# Parameters: 1 inflow, 1 bump# Type: 3, optimization using sensitivities.# ipred: 2, use Euler prediction for start.# ijac: 1, update Newton matrix every step.## INPUT.304## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 100.0# Parameters: 1 inflow, 1 bump# Type: 3, optimization using sensitivities.# ipred: 2, use Euler prediction for start.# ijac: 1, update Newton matrix every step.## INPUT.305## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 500.0# Parameters: 1 inflow, 1 bump# Type: 3, optimization using sensitivities.# ipred: 2, use Euler prediction for start.# ijac: 1, update Newton matrix every step.## INPUT.306## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 200.0# Parameters: 1 inflow, 1 bump# Type: 3, optimization using sensitivities.# ipred: 2, use Euler prediction for start.# ijac: 1, update Newton matrix every step.## INPUT.307## Mesh: 31 by 10# Weights: (1, 0, 0, 0, 0)# Reynolds: 200.0# Parameters: 1 inflow, 1 bump# Type: 3, optimization using sensitivities.# ipred: 2, use Euler prediction for start.# ijac: 1, update Newton matrix every step.## INPUT.308## Mesh: 41 by 13# Weights: (1, 0, 0, 0, 0)# Reynolds: 200.0# Parameters: 1 inflow, 1 bump# Type: 3, optimization using sensitivities.# ipred: 2, use Euler prediction for start.# ijac: 1, update Newton matrix every step.#********************************************************************# INPUT.401## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Reynolds: 1.0# Parameters: 1 inflow, 1 bump# Type: 3, optimization using sensitivities.# ipred: 2, use Euler prediction for start.# ijac: 1, update Newton matrix every step.#********************************************************************# INPUT.501## The standard test problem.## Mesh: 21 by 7# Weights: (1, 0, 0, 0, 0)# Parameters: 1 inflow, 3 bump, 1 flow strength## INPUT.502## This data file sets up a 3D march.# # The 2D march, for WATEB=0, corresponds to INPUT.20, which# produced the banana shaped cost function contour plot.## The expectation is that as WATEB increases to 1, the banana# shape will disappear.#********************************************************************Detailed information about input files:--------------------------------------INPUT.01 Mesh: 21 by 7 Weights: (1, 0, 0) Reynolds: 1.0 Parameters: 1 inflow, 3 bump Type: 0, optimization Control the flow profile, but not the size of the control parameters. Discussion: This run was made as a "baseline", in order to show that including the cost of control, and using weights on the cost functions, could be helpful. This run was a "traditional" run, using as a cost only the discrepancy between the target and computed flows along a specified horizontal line. The target flow was not reached, and in fact, it seems that a local minimum was found instead. The optimizer declared convergence. The final parameter values were: 0.508, -0.022, 0.526, 0.061INPUT.02 Mesh: 21 by 7 Weights: * (1, 0, 0.001) Reynolds: 1.0 Parameters: 1 inflow, 3 bump. Type: 0, optimization INPUT.01 seemed to get stuck at a local min. This run tries to avoid the local min by adding a cost to⌨️ 快捷键说明
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