User Guidelines and Best Practices for CASL VUQ Analysis Using Dakota
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- North Carolina State Univ., Raleigh, NC (United States)
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
In general, Dakota is the Consortium for Advanced Simulation of Light Water Reactors (CASL) delivery vehicle for verification, validation, and uncertainty quantification (VUQ) algorithms. It permits ready application of the VUQ methods described above to simulation codes by CASL researchers, code developers, and application engineers. More specifically, the CASL VUQ Strategy [33] prescribes the use of Predictive Capability Maturity Model (PCMM) assessments [37]. PCMM is an expert elicitation tool designed to characterize and communicate completeness of the approaches used for computational model definition, verification, validation, and uncertainty quantification associated with an intended application. Exercising a computational model with the methods in Dakota will yield, in part, evidence for a predictive capability maturity model (PCMM) assessment. Table 1.1 summarizes some key predictive maturity related activities (see details in [33]), with examples of how Dakota fits in. This manual offers CASL partners a guide to conducting Dakota-based VUQ studies for CASL problems. It motivates various classes of Dakota methods and includes examples of their use on representative application problems. On reading, a CASL analyst should understand why and how to apply Dakota to a simulation problem.
- Research Organization:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE Office of Nuclear Energy (NE)
- DOE Contract Number:
- AC52-06NA25396
- OSTI ID:
- 1329699
- Report Number(s):
- LA-UR--16-27626
- Country of Publication:
- United States
- Language:
- English
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User Guidelines and Best Practices for CASL VUQ Analysis Using Dakota.
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