"rBOEF--First example problem. Laterally loaded pile." Length of soil to be modelled (h1) 12.2 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) 9492.0 0.0 0.0 0.0 0.0 0.0 0.0 5774.0 5774.2 2.0 0.0 0.0 0.0 0.0 Correlation matrix 1.0 0.0 0.0 1.0 Spatial correlation length 12.2 Random seed, number of simulations 0 5000 Covariance function name dlavx1 Loads 1 1 28.0 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)