Scalable analysis tools for sensitivity analysis and UQ (3160) results.

Technical Report · Tue Sep 01 04:00:00 EDT 2009

DOI:https://doi.org/10.2172/972889· OSTI ID:972889

Karelitz, David B; Ice, Lisa G; Thompson, David C; Bennett, Janine C; Fabian, Nathan; Scott, W Alan; Moreland, Kenneth D

The 9/30/2009 ASC Level 2 Scalable Analysis Tools for Sensitivity Analysis and UQ (Milestone 3160) contains feature recognition capability required by the user community for certain verification and validation tasks focused around sensitivity analysis and uncertainty quantification (UQ). These feature recognition capabilities include crater detection, characterization, and analysis from CTH simulation data; the ability to call fragment and crater identification code from within a CTH simulation; and the ability to output fragments in a geometric format that includes data values over the fragments. The feature recognition capabilities were tested extensively on sample and actual simulations. In addition, a number of stretch criteria were met including the ability to visualize CTH tracer particles and the ability to visualize output from within an S3D simulation.

• Research Organization: Sandia National Laboratories
• Sponsoring Organization: USDOE
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 972889
• Report Number(s): SAND2009-6032
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING
99 GENERAL AND MISCELLANEOUS
COMPUTERIZED SIMULATION
DATA COVARIANCES
Mathematical models-Verification.
SENSITIVITY ANALYSIS
Uncertainty-Mathematical models.
VALIDATION
VERIFICATION