"rBOEF--Second example problem. Beam on linearly varying foundation."

Length of soil to be modelled (h1)
3.048

Number of finite elements in model (nels)
100

Number of random variables (nrv)
2

nrv rows of material properties (mean, SD, dist, L, U, m, s) 
 1033.0     0.0      0.0   0.0   0.0   0.0   0.0
-1357.0  4826.0      4.0   1.0   0.0   0.0   0.0  

Correlation matrix
1.0  0.0  
0.0  1.0  

Spatial correlation length
0.003048

Random seed, number of simulations
0  5000

Covariance function name
dlavx1

Loads
2
1    20.0  0.0
101  20.0  0.0


!   a   real array of size at least 7 x m which contains
!       the parameters of each of the i = 1, 2, ..., m processes.
!       Notably,
!          a(1,i) = mean,
!          a(2,i) = standard deviation,
!          a(3,i) = distribution type;
!             = 0.0 if process is deterministic (at mean value)
!             = 1.0 if process is normally distributed
!             = 2.0 if process is lognormally distributed (logn)
!             = 3.0 if process is bounded
!             = 4.0 if mean and sd change linearly in which case
!                   the process is assumed to be lognormally distributed
!                   with a(1,i) and a(2,i) the gradient and the value at the top
!                   and a(4,i) the COV which is assumed to be constant
!          a(4,i) = lower bound (bounded), or mean of log-process(logn)
!          a(5,i) = upper bound (bounded), or sd of log-process (logn)
!          a(6,i) = m parameter (if bounded)
!          a(7,i) = s parameter (if bounded)
!       If process i (i = 1, 2, ..., m) is bounded, then a(1,i) and
!       a(2,i) are ignored and the parameters a(4,i) through a(7,i)
!       completely describe the distribution. (input)