poet/bench/dolo_diffu_inner/dolo_diffu_inner.R
Max Luebke 3fdf586e0d BREAKING CHANGE: use dump mechanism of PhreeqcRM-GFZ to get and set
internal variables

feat: enables exchange

data: added exchange only benchmark

data: applied required changes to benchmarks
2023-04-17 12:37:43 +02:00

150 lines
3.4 KiB
R

## Time-stamp: "Last modified 2023-04-17 12:25:25 mluebke"
database <- normalizePath("../share/poet/examples/phreeqc_kin.dat")
input_script <- normalizePath("../share/poet/bench/dolo_inner.pqi")
#################################################################
## Section 1 ##
## Grid initialization ##
#################################################################
n <- 100
m <- 100
types <- c("scratch", "phreeqc", "rds")
init_cell <- list(
"H" = 110.683,
"O" = 55.3413,
"Charge" = -5.0822e-19,
"C(4)" = 1.2279E-4,
"Ca" = 1.2279E-4,
"Cl" = 0,
"Mg" = 0,
"O2g" = 0.499957,
"Calcite" = 2.07e-4,
"Dolomite" = 0
)
grid <- list(
n_cells = c(n, m),
s_cells = c(1, 1),
type = types[1],
init_cell = as.data.frame(init_cell, check.names = FALSE),
props = names(init_cell),
database = database,
input_script = input_script
)
##################################################################
## Section 2 ##
## Diffusion parameters and boundary conditions ##
##################################################################
## initial conditions
init_diffu <- list(
"H" = 110.683,
"O" = 55.3413,
"Charge" = -5.0822e-19,
"C(4)" = 1.2279E-4,
"Ca" = 1.2279E-4,
"Cl" = 0,
"Mg" = 0
)
## diffusion coefficients
alpha_diffu <- c(
"H" = 1E-6,
"O" = 1E-6,
"Charge" = 1E-6,
"C(4)" = 1E-6,
"Ca" = 1E-6,
"Cl" = 1E-6,
"Mg" = 1E-6
)
## list of boundary conditions/inner nodes
vecinj_diffu <- list(
list(
"H" = 110.683,
"O" = 55.3413,
"Charge" = 1.90431e-16,
"C(4)" = 0,
"Ca" = 0,
"Cl" = 0.002,
"Mg" = 0.001
),
list(
"H" = 110.683,
"O" = 55.3413,
"Charge" = 1.90431e-16,
"C(4)" = 0,
"Ca" = 0.0,
"Cl" = 0.004,
"Mg" = 0.002
)
)
vecinj_inner <- list(
l1 = c(1,20,20),
l2 = c(2,80,80),
l3 = c(2,60,80)
)
boundary <- list(
# "N" = c(1, rep(0, n-1)),
"N" = rep(0, n),
"E" = rep(0, n),
"S" = rep(0, n),
"W" = rep(0, n)
)
diffu_list <- names(alpha_diffu)
vecinj <- do.call(rbind.data.frame, vecinj_diffu)
names(vecinj) <- names(init_diffu)
diffusion <- list(
init = as.data.frame(init_diffu, check.names = FALSE),
vecinj = vecinj,
vecinj_inner = vecinj_inner,
vecinj_index = boundary,
alpha = alpha_diffu
)
#################################################################
## Section 3 ##
## Chemistry module (Phreeqc) ##
#################################################################
## # Needed when using DHT
signif_vector <- c(10, 10, 2, 5, 5, 5, 5, 0, 5, 5)
prop_type <- c("", "", "", "act", "act", "act", "act", "ignore", "", "")
prop <- names(init_cell)
chemistry <- list(
database = database,
input_script = input_script
)
#################################################################
## Section 4 ##
## Putting all those things together ##
#################################################################
iterations <- 1000
dt <- 200
setup <- list(
grid = grid,
diffusion = diffusion,
chemistry = chemistry,
iterations = iterations,
timesteps = rep(dt, iterations),
store_result = TRUE,
out_save = c(5, iterations)
)