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
17-Nov-18

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
17-Nov-18

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
17-Nov-18

4. An Approach defines four categories based on broad discipline or expertise
Integrated modeling development
Multi-physics and specialized physical phenomenon modeling
High fidelity data mapping/translation
Visualization
Analysis Management
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.
17-Nov-18

5. Integrated Modeling for FNST: A Multi-physics environment
Dynamic structural forces from EM disruption
Coupled thermomechanical/irradiation material damage
Non-Linear, Multi-scale flow phenomena
Etc.
CAD Modeler
Neutronics
Fluid Dynamics LM MHD
Electromagnetics
Translators
Species Transport
Stress-Analysis
specialized user FUNction
DMS
Specialized physics models
FW/Plasma Facing Surface Phenomena
Data Mapping Script
FUN T
Neutron wall load q”
Safety
17-Nov-18

6. Constitutive equations (embedded user sub routines)
It requires the ‘right mix’ of expertise through all resources
3rd Party Software
Constitutive equations
(embedded user sub routines)
Open source
(ITAPS/SciDAC)
SBIR
Fusion Community
In-house Codes
Applied mathematics
A coordinated approach can avoid duplicated efforts
17-Nov-18

7. 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
CFD Solid Domain Nodal Temperatures
Geometry CAD
Structural code meshes (ANSYS/ABQUS)
Structural code meshes Nodal temperatures
Stress/
Deformation
Geometry CAD
CFD Solid Domain Nodal Temperatures
Structural code meshes (ANSYS/ABQUS)
Calculate heat transfer coefficient
Structural code temperature
Stress/Deformation
17-Nov-18

8. Temperature Data Mapping
Modeling activity for ITER First Wall Qualification Testing under MARFE
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
CAD Model
Thermal-Fluid
Temperature Data Mapping
Thermal-structure
17-Nov-18

9. Ability to provide data mapping between CFD meshes and structural meshes is advantageous
He coolant temperatures
CAD model
CFD analysis provides domain solid and fluid temperatures
Domain solid temperatures
Many coolant channels
Stress/deformation
17-Nov-18

10. Progress on where a coupling exists (keff= f(e,T))
Be pebble bed strain profiles at 1 cm away from the back of the FW. Top: first iteration; bottom: second iteration.
Isometric view of von Mises elastic strain distribution in Be
Keff increases as temperature and strain increase
17-Nov-18
1st Iteration
2nd Iteration
3rd Iteration

11. The Challenge – Simulating FW/divertor/blanket response to ITER shots
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
ITER CFD model
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
17-Nov-18