Integrated Modeling Approach and Plans

1. Integrated Modeling Approach and Plans Ying M. Narula and team (UCLA), P. Wilson and team (UW) R. Munipalli and team (HyperCom), M. Ulrickson and team (SNL) FNST Meeting August 12-14, 2008 UCLA

2. Integrated Modeling for FNST Multi-physics based integrated analysis is becoming increasingly visible in many diverse areas ranging from nano technology to bio technology to aerospace applications An Integrated Simulation Predictive Capability (ISPC) is envisioned for Fusion Plasma Chamber Systems for near term machines (ITER/CTF) as well as DEMO The ISPC will allow for design optimization, performance evaluation, failure mitigation, and operational control of fusion plasma chamber systems (Blanket, First Wall and Divertor, etc) The development of a strong ISPC will provide a natural interface linking to the Fusion Simulation Project (FSP) The ISPC will be further benchmarked against ‘real fusion environment’ results from ITER/CTF to provide a strong predictive capability for DEMO

3. The Plan for ISPC development • The development of the ISPC should follow a logical progression guided by… • The need to fill in the modeling gaps for the design and development of ITER/CTF FW/blanket and divertor components • Advances in handling complex geometries, CAD and high performance computing • Strengthening the R&D in FNST • The need to integrate component level modeling to system level modeling • The plans and timelines and requirements for the Fusion Simulation Project • Ultimately leading to… • Development of a predictive capability for DEMO, strongly benchmarked with the experimental data obtained from the ‘real fusion environment’ on ITER and CTF

4. Integrated modeling development Multi-physics and specialized physical phenomenon modeling Analysis Management High fidelity data mapping/translation Visualization An Approach defines four categories based on broad discipline or expertise • Advances in fusion relevant specialized phenomenological modeling will come through the fusion community in terms of advanced research codes (plasma surface interaction modeling, liquid metal MHD, pebble bed thermo mechanics, tritium permeation etc) • Data mapping and interpolation across various analysis meshes/codes has to be fast, accurate and satisfy physical conservation laws. Advances in data interpolation algorithms will come from developments in applied mathematical modeling • Advances in visualization techniques as well as code management fall into the realm of computer science and graphics.

5. Integrated Modeling for FNST: A Multi-physics environment FW/Plasma Facing Surface Phenomena Neutron wall load T DMS Neutronics CAD Modeler q” DMS FUN Fluid Dynamics LM MHD Electromagnetics DMS DMS Species Transport Specialized physics models DMS Safety FUN Stress-Analysis Translators Data MappingScript specialized user FUNction FUN • Dynamic structural forces from EM disruption • Coupled thermomechanical/irradiation material damage • Non-Linear, Multi-scale flow phenomena • Etc.

6. Fusion Community In-house Codes Open source (ITAPS/SciDAC) 3rd Party Software Constitutive equations (embedded user sub routines) Applied mathematics SBIR It requires the ‘right mix’ of expertise through all resources A coordinated approach can avoid duplicated efforts

7. Geometry CAD Structural code meshes (ANSYS/ABQUS) Structural code meshes Nodal temperatures CFD Solid Domain Nodal Temperatures Stress/ Deformation Geometry CAD Structural code meshes (ANSYS/ABQUS) Structural code temperature CFD Solid Domain Nodal Temperatures Calculate heat transfer coefficient Stress/Deformation Progress on where there is no coupling between physics codes • Nuclear heating to temperature • MCNP to CFD codes • Temperature to stress/displacement under transients • Direct coupling versus sequential analysis

8. Modeling activity for ITER First Wall Qualification Testing under MARFE CAD Model Thermal-Fluid Temperature Data Mapping Thermal-structure • Modeling Requirements: • Identification of experimental testing parameters • Assessment of experimental safety • Interpretation of experimental data • Required Analyses: • Time dependant thermo-fluid analysis (to obtain time dependant temperature field) • Thermal stress analysis based on time dependant temperature field data • Temperature dependant physical properties for thermo-fluid and thermal stress analysis

9. Many coolant channels CAD model CFD analysis provides domain solid and fluid temperatures Domain solid temperatures He coolant temperatures Stress/deformation Ability to provide data mapping between CFD meshes and structural meshes is advantageous

10. Progress on where a coupling exists (keff= f(e,T)) Isometric view of von Mises elastic strain distribution in Be Be pebble bed strain profiles at 1 cm away from the back of the FW. Top: first iteration; bottom: second iteration. Keff increases as temperature and strain increase 1stIteration 2ndIteration 3rdIteration

11. The Challenge – Simulating FW/divertor/blanket response to ITER shots ITER CFD model Mesh of a 40 degree ITER VV and FW/Shield sector • Multi-physics, integrated simulations where the US can lead the world • State-of-the-art computer codes can handle large scale simulations FW/Shield/VV response to ITER shots is a key issue for ITER reliability -- any small leak will shut down plasma operations for a long repair time Plasma chamber temperature response to ITER H-H shots