# d <- dgp.borehole(NULL, 10000)
# summary(d[[2]])
borehole <- function(xx)
{
##########################################################################
#
# BOREHOLE FUNCTION
#
# Authors: Sonja Surjanovic, Simon Fraser University
# Derek Bingham, Simon Fraser University
# Questions/Comments: Please email Derek Bingham at dbingham@stat.sfu.ca.
#
# Copyright 2013. Derek Bingham, Simon Fraser University.
#
# THERE IS NO WARRANTY, EXPRESS OR IMPLIED. WE DO NOT ASSUME ANY LIABILITY
# FOR THE USE OF THIS SOFTWARE. If software is modified to produce
# derivative works, such modified software should be clearly marked.
# Additionally, this program is free software; you can redistribute it
# and/or modify it under the terms of the GNU General Public License as
# published by the Free Software Foundation; version 2.0 of the License.
# Accordingly, this program is distributed in the hope that it will be
# useful, but WITHOUT ANY WARRANTY; without even the implied warranty
# of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# General Public License for more details.
#
# For function details and reference information, see:
# http://www.sfu.ca/~ssurjano/
#
##########################################################################
#
# OUTPUT AND INPUT:
#
# y = water flow rate
# xx = c(rw, r, Tu, Hu, Tl, Hl, L, Kw)
#
##########################################################################
rw <- xx[1]
r <- xx[2]
Tu <- xx[3]
Hu <- xx[4]
Tl <- xx[5]
Hl <- xx[6]
L <- xx[7]
Kw <- xx[8]
frac1 <- 2 * pi * Tu * (Hu-Hl)
frac2a <- 2*L*Tu / (log(r/rw)*rw^2*Kw)
frac2b <- Tu / Tl
frac2 <- log(r/rw) * (1+frac2a+frac2b)
y <- frac1 / frac2
return(y)
}
dgp.borehole <- function(box, n.points, distr = "laths", nval = 5, pts = 0, use.pts = FALSE, thr = 1000){
dim <- 8
if(is.null(box)){
box <- matrix(c(rep(0, dim), rep(1, dim)), nrow = 2, byrow = TRUE)
}
if(use.pts){
if(ncol(pts) != dim) stop(paste0("pts should have ", dim, " dimensions"))
d <- pts
} else {
if(ncol(box) != dim) stop(paste0("box should have ", dim, " dimensions"))
d <- get.data(box, n.points, distr, nval)
}
low <- c(0.05, 100, 63070, 990, 63.1, 700, 1120, 9855)
up <- c(1.15, 50000, 115600, 1110, 116, 820, 1680, 12045)
y <- apply(d.scale(d, low, up), 1, borehole)
y <- ifelse(y < thr, 1, 0)
return(list(d, y))
}
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