simSigmaP: Simulating Preconsolidation Stress

Description

Simulating preconsolidation pressure, compression and swelling indices, based on a multivariate Gaussian distribution for the parameters of the compression curve.

Usage

simSigmaP(voidratio, stress, 
	what.out = c("sigmaP", "CI", "SI"), 
	method = c("casagrande", "VCLzero", "reg1", "reg2", "reg3", "reg4", "pacheco"), 
	n4VCL = 3, nsim = 100)

Arguments

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 sigmaP() output should be simulated. It must be on of "sigmaP" (default), "CI" of "SI".

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.

Value

A numeric matrix containing the simulated values for each method selected as input.

Examples

Run this code

# 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)
head(simres)

# plot percentile confidence intervals
ci <- plotCIsigmaP(simres, conf.level = 0.95, 
	shade.col = "blue", ordered = TRUE)
print(ci)

# End (Not run)

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