A publication of the Advanced Simulation & Computing Division, NA-121.2, NNSA Defense Programs
March 2009
NA-ASC-500-09—Issue 10
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DoD/DOE Strategic Alliance Workshop Held on Computational Simulation
On November 20, 2008, the first in a series of DoD/DOE strategic alliance workshops was held on the topic of verification and validation methods for computational simulation. Attendees included representatives from DoD research organizations (Air Force Research Laboratory [AFRL], Army Research Laboratory, Office of Naval Research), along with representatives from the DOE/NNSA weapons labs (SNL, LANL, LLNL) and NNSA HQ.
The TridentII/D5 (Photo from US Navy)
The working group identified the following three priority areas for collaboration: (1) development of methodologies for simulation-based risk-informed certification of weapon subsystems/systems when testing is limited or impossible; (2) development of mathematical/statistical methodologies to validate simulation models using experimental test data; and (3) education of the technical work force on the use of these methods. These three collaboration areas are directly aligned with the interests of the Advanced Simulation and Computing (ASC) program.
This DoD/DOE collaboration will leverage several existing DoD/DOE projects and will also establish new partnerships. One current project is a Sandia/Navy study involving computational simulations of blast loads on ships. This study will allow for computational tool sharing, as well as knowledge sharing on topics such as verification, validation, sensitivity analysis, and uncertainty quantification. Additional DoD/DOE partnerships are being explored on topics such as large-scale blast-structure interactions and directed energy applications. Near-term activities in this DoD/DOE collaboration include DOE participation in a DoD verification and validation workshop in San Diego in March 2009, along with a sensitivity analysis and uncertainty quantification methods workshop at AFRL in May 2009. Future meetings of the DoD/DOE strategic alliance team will focus on topics such as large dataset analysis, renewable fuels, new power sources, and advanced materials.
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