SNL will be able to provide well-calibrated models to weapons systems analysts by integrating an engine for constitutive model calibration with the GRANTA materials database
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Researchers at Sandia National Laboratories have integrated the GRANTA materials database with the MatCal calibration engine to calibrate material models from characterization data. GRANTA is gaining acceptance across the NNSA Tri-lab complex and is being populated with weapons-specific test data by Sandia experimentalists. To use that data to create material models for use by weapons systems analysts, MatCal has been enabled import calibration data and test conditions from GRANTA to quickly and reproducibly produce a calibrated set of parameters for a given constitutive model. The team is currently working to store the parameters characterizing material behavior in GRANTA to make them accessible by all weapons analysts.
- Research Organization:
- Sandia National Laboratories (SNL-CA), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC04-94AL85000; NA0003525
- OSTI ID:
- 1706220
- Report Number(s):
- SAND--2020-11966R; 691694
- Country of Publication:
- United States
- Language:
- English
Similar Records
Scripting ToolKit (STK) 2.0 for Granta Database: Model Calibration Examples [Slides]
Weapon Systems Engineering Material Database Requirements
Schema Elements for Granta Annual Report: FY2022
Technical Report
·
Tue Feb 11 23:00:00 EST 2020
·
OSTI ID:1601592
Weapon Systems Engineering Material Database Requirements
Technical Report
·
Mon Apr 27 00:00:00 EDT 2015
·
OSTI ID:1178718
Schema Elements for Granta Annual Report: FY2022
Technical Report
·
Mon Sep 19 00:00:00 EDT 2022
·
OSTI ID:1891785