Unstructured Mesh Tools for Fusion Energy System Design

📅 2026-06-07
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This work addresses the challenges of high-fidelity simulation in fusion energy systems—specifically, geometric modeling, multiphysics coupling, and the integration of particle and continuum methods—by proposing a unified framework that seamlessly combines commercial CAE software with existing fusion codes. The framework enables accurate representation of complex geometries, automatic generation of unstructured meshes, and efficient coupling between particle transport and continuum solvers. The resulting simulation workflow significantly enhances geometric fidelity for critical components and strengthens capabilities in multiscale, multiphysics co-simulation, while maintaining strong scalability and computational efficiency.
📝 Abstract
The execution of accurate simulations of fusion energy systems requires the appropriate representation of critical component geometries as well as the coupling of complex fusion physics codes with one another and with engineering analysis tools. This paper examines the challenges of creating simulation workflows that fully leverage existing fusion research codes while integrating them with commercial computer-aided engineering (CAE) software. Key areas addressed include: (a) the construction and meshing of analysis geometries taking full advantage of available geometric modeling and meshing technologies; (b) the effective coupling of fusion physics and engineering analysis codes; and (c) the support for simulation workflows that couple particle and continuum modeling methods.
Problem

Research questions and friction points this paper is trying to address.

unstructured mesh
fusion energy
simulation workflow
code coupling
CAE integration
Innovation

Methods, ideas, or system contributions that make the work stand out.

unstructured mesh
fusion energy systems
code coupling
multi-physics simulation
CAE integration
M
Mark S. Shephard
Scientific Computation Research Center, and Department of Mechanical, Aerospace, and Nuclear Engineering, Rensselaer Polytechnic Institute, 110 8th St., Troy, NY 12180
J
Jacob S. Merson
Scientific Computation Research Center, and Department of Mechanical, Aerospace, and Nuclear Engineering, Rensselaer Polytechnic Institute, 110 8th St., Troy, NY 12180
Onkar Sahni
Onkar Sahni
Rensselaer Polytechnic Institute
Large Eddy SimulationTurbulenceFlow ControlParallel and Adaptive MethodsUncertainty Quantification
C
Cameron W. Smith
Scientific Computation Research Center, Rensselaer Polytechnic Institute, 110 8th St., Troy, NY 12180
U
Usman Riaz
Scientific Computation Research Center, Rensselaer Polytechnic Institute, 110 8th St., Troy, NY 12180
F
Fuad Hasan
Scientific Computation Research Center, and Department of Mechanical, Aerospace, and Nuclear Engineering, Rensselaer Polytechnic Institute, 110 8th St., Troy, NY 12180
A
Aditya Y. Joshi
Scientific Computation Research Center, and Department of Mechanical, Aerospace, and Nuclear Engineering, Rensselaer Polytechnic Institute, 110 8th St., Troy, NY 12180
D
Dhyanjyoti D. Nath
Scientific Computation Research Center, and Department of Mechanical, Aerospace, and Nuclear Engineering, Rensselaer Polytechnic Institute, 110 8th St., Troy, NY 12180
A
Abhiyan Paudel
Scientific Computation Research Center, and Department of Mechanical, Aerospace, and Nuclear Engineering, Rensselaer Polytechnic Institute, 110 8th St., Troy, NY 12180