The program enhancement was tested by repeatedly estimating the mean, standard deviation, and 99th percentile of four different responses using Monte Carlo (MC) and LHS. Finally, two types of correlation are written to the appropriate output file. Proper correlation between sets of multidimensional coordinates can be obtained by using NESSUS' LHS capabilities. The LHS subroutines are called out early in the program so that no unnecessary calculations are performed. The new Latin Hypercube Sampling (LHS) subroutines use the latest NESSUS input file format and specific files for writing output. This report documents two research accomplishments in the integration of a new sampling algorithm into NESSUS and in the testing of the new algorithm.
#Latin hypercube sampling san antonio wake manual
Because the NESSUS program is used at UTSA in both student research projects and selected courses, a student version of a NESSUS manual has been revised and improved, with additional example problems being added to expand the scope of the example application problems. In classroom activities, students were introduced to the NESSUS computer program, which embodies many algorithms in probabilistic simulation and reliability analysis.
The grant provided two research engineers from Southwest Research Institute the opportunity to teach these courses at UTSA, thereby exposing a large number of students to practical applications of probabilistic methods and state-of-the-art computational methods. Two undergraduate-level and one graduate-level course were offered at UTSA providing a large number of students exposure to and experience in probabilistic techniques. Probabilistic Analysis and Density Parameter Estimation Within Nessus This NASA educational grant has the goal of promoting probabilistic analysis methods to undergraduate and graduate UTSA engineering students.
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