Simulating Preconsolidation Stress
Simulating preconsolidation pressure, compression and swelling indices, based on a multivariate Gaussian distribution for the parameters of the compression curve.
simSigmaP(voidratio, stress,
what.out = c("sigmaP", "CI", "SI"),
method = c("casagrande", "VCLzero", "reg1", "reg2", "reg3", "reg4", "pacheco"),
n4VCL = 3, nsim = 100)voidratio |
a numeric vector containing void ratio (or bulk density) values. |
stress |
a numeric vector containing the applied stress sequence. |
what.out |
a character indicating which |
method |
a character vector indicating which methods should be used. |
n4VCL |
the number of points for calculating the slope of the soil Virgin Compression Line (VCL), which is obtained by linear regression. Default is 3. |
nsim |
the number of simulations. Default is 100. Warning: it may cause time demanding. |
A numeric matrix containing the simulated values for each method selected as input.
Anderson Rodrigo da Silva <anderson.agro@hotmail.com>
# input data: stress and void ratio pres <- c(1, 12.5, 25, 50, 100, 200, 400, 800, 1600) VR <- c(1.43, 1.41, 1.40, 1.39, 1.35, 1.31, 1.25, 1.18, 1.12) # simulation (may take a few seconds) simres <- simSigmaP(VR, pres, nsim = 30) head(simres) # plot percentile confidence intervals ci <- plotCIsigmaP(simres, conf.level = 0.95, shade.col = "blue", ordered = TRUE) print(ci) # End (Not run)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.