WaMaSim is an R package that simulates the effect of different rehabilitation strategies for water distribution systems. It is an education tool used for the Water Infrastructure Experimental and Computer Laboratory at ETH Zurich, Switzerland.
install.packages("devtools")
library(devtools)
install_github("scheidan/WaMaSim")
This is a minimal example of how you can run the simulation:
library(WaMaSim)
## -----------
## define model parameters
## Define the annual probability of a failure
<- function(age, age.last.failure, n.failure) {
prob.failure.exp if(n.failure==0){
return(1/30)
else {
} return(1/10)
}
}
## define a complicated (and probably useless) rehabilitation strategy
<- . %>%
mystrategy replace.n.highest.risk(n=2, prob.failure=prob.failure.exp) %>%
replace.more.failures.than(failures=5) %>%
replace.older.than(age=70, max.cost=2e6) %>%
replace.n.oldest(n=3) %>%
replace.n.random(n=2)
## This means: every year (if we have enough budget!), replace first the 2 pipes
## with the highest risk, then all pipes with more than 5 failures,
## then all pipes older then 70 years (up to costs of 2e6), then the 3
## oldest pipes remaining, and finally replace 2 randomly selected pipes.
## -----------
## run the simulation
<- simulate_network(n.years = 100, # run it for 100 years
result expansion = 10, # build 10 pipes per year (if money is available)
rehabilitation = mystrategy, # use the strategy defined above
prob.failure = prob.failure.exp, # use the probability function defined above
income = 1e6, # the annual income
initial.budget = 1e7,
initial.inventory = 50, # start the simulation with 50 new pipes
free.expansion = FALSE) #
## look at some results
str(result)
str(result$time.100)
## -----------
## plots
par(mfrow=c(3,1))
## budget
plot(result$time, result$budget, type="l")
abline(h=0, col=2)
## pipes built per year
plot(result$time, pipes.built.per.year(result))
## annual costs
plot(result$time, costs.per.year(result, income=1e6))
See the package help for more information.
The packages devtools
, testthat
, and
roxygen2
are required. To build and test this package use
the following workflow:
library(devtools)
= "WaMaSim/" # path must point to the folder containing the WaMaSim files
package.path
## simulate a new package installation
load_all(package.path)
## run tests
test(package.path) # this runs the tests in the `test` folder of the package
test_coverage(package.path) # needs package 'covr' to be installed
## build documentation (uses Roxygen2)
document(package.path)
## run R CMD checks
check(package.path, cran=TRUE, manual=TRUE)
## build package for CRAN submission
build(pkg=package.path)