Data Transfer Between 2D and 3D Simulation Meshes
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Solution Overview
Problem
Current multiphysics simulations face challenges in transferring data between two-dimensional (2D) and three-dimensional (3D) models with dissimilar topologies, requiring different approaches for conservative and profile-preserving data, which can be inefficient and resource-intensive.
Innovation Solution
The method involves generating pseudoelements in 3D based on a sweep direction of 2D meshes, determining intersections, and calculating weights to map physical characteristics from source to target models, using shape functions and area/volume fractions for conservative and profile-preserving data transfers, respectively, to construct matrices of weights for precise data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If different approaches are used for transferring conservative and profile-preserving data between 2D and 3D models, then data transfer precision is improved, but computational complexity and resource usage increase
Solution Approach 1:
The patent segments the data transfer process into two distinct approaches: conservative data transfer for quantities like mass and energy, and profile-preserving data transfer for quantities like temperature and displacement. This segmentation allows each approach to be optimized for its specific data type, improving precision while managing computational complexity through specialized algorithms for each category
Solution Approach 2:
The patent introduces pseudoelements as intermediary structures that facilitate data transfer between 2D and 3D meshes. These pseudoelements act as mediators that enable the calculation of intersection weights and the mapping of physical characteristics without requiring direct complex interactions between the dissimilar 2D and 3D mesh structures
2Measurement precision
If pseudoelements are generated and intersections are calculated to map physical characteristics, then data transfer accuracy between dissimilar topologies is improved, but computational resource usage increases
Solution Approach 1:
The patent performs preliminary actions by pre-generating pseudoelements from the 2D mesh elements before the actual data transfer process. This preliminary generation of pseudoelements and their intersection calculations with the 3D mesh allows the system to establish a weight matrix in advance, which can then be reused for multiple data transfer operations, reducing computational resource usage during actual simulations
Solution Approach 2:
The patent creates pseudoelements as copies or representations of 2D mesh elements extended into 3D space. These pseudoelements are not part of the original source or target meshes but serve as computational copies that enable the evaluation of spatial coincidence and intersection calculations without modifying the original mesh structures
Data Source
AI summary
Techniques are provided for the transfer of data (e.g. electromagnetic losses and temperature for an electro-thermal simulation) between domains (e.g. 2D regions, 3D regions) with dissimilar topologies, e.g. to represent a physical object. Meshes from 2D and 3D regions of respective simulation models involved in the data transfer are projected onto and through one another. For profile preserving (e.g., temperature, convection coefficients, mesh displacements, etc.) and conservative (e.g., force, mass, or thermal energy, etc.) data transfers, shape functions and area/volume fractions are used in mapping weight generation, respectively. These weights are later used to generate field values on the mesh of the target simulation model, using data from the mesh of the source simulation model. Related apparatus, systems, techniques and articles are also described.