A total of 65536 parameter combinations were randomly sampled using quasi-random Sobol sampling, varying seven irreducible parameters in addition to the number of particles and initial scaling factor. A constrained search space was employed through the Ax Platform with repeats. Out of these simulations, 494498 were successfully completed, requiring 206 CPU days to run. Failed simulations were recorded as NaN values with ratio of successful to total simulations tracked on a per parameter set basis (sobol_probability_filter.csv). Repeat simulations were grouped and ranked by percentile using the "dense" method with pct=True in pandas.core.groupby.GroupBy.rank (sobol_regression.csv) . Surrogate models were fitted for failure probability, packing fraction, and computational runtime for each of two particle packing algorithms, totaling six surrogate models.