ggplot_cv_sqrt | R Documentation |
ggplot showing how to obtain t50 from oedometer data using the sqrt method
ggplot_cv_sqrt( t = c(seq(10, 60, 10), c(1, 2, 4, 8, 15, 30) * 60, c(1, 2, 4, 8, 24) * 60 * 60), h0 = 0.0195 * 1000, dsigmav = 20000 * 1e-06, mv = 5e-06 * 1e+06, cv = 1e-08 * 1e+06, Calpha = 0.005, Tvalpha = 10^0.1, xlim = c(NA, 150), ylim = c(NA, NA), palette = "Set1", line = c(2, 4, 5), shape = c(15, 15, 15) )
t |
time points for individual measurement points |
h0 |
initial sample height [m] |
dsigmav |
increase in vertical stress [Pa] |
mv |
coefficient of compressibility [m^2/N] |
cv |
coefficient of consolidation [m^2/s] |
Calpha |
creep strain per log10-cycle of time. Creep is only added after primary consolidation is (almost) finished. A small smoothing is applied to smoothen the sudden jump in gradient of settlement |
Tvalpha |
value of normalised strain at which creep stats to be included |
xlim |
manual x and y-axis limits |
ylim |
manual x and y-axis limits |
palette |
RColorBrewer palette to use for colours of annotations |
line |
linestyles for lines in the three steps |
shape |
marker shape for the three steps |
ggplot object
#default example ggplot_cv_sqrt()
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