Reduced Order Model for Electromagnetic Structural Coupling
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Solution Overview
Problem
Current design modeling for electromagnetic effects in aircraft design is hindered by the time-consuming nature of electromagnetic analysis, which lags behind structural analysis, necessitating a more integrated and efficient approach to couple electromagnetic and structural features.
Innovation Solution
A method using model-based system engineering tools to identify areas of interest for lightning strikes, generating design models with electromagnetic and structural solvers, and creating reduced order models that couple structural and electromagnetic features, incorporating test and simulation results to predict power density, damage, and ignition hazards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electromagnetic effects analysis is performed using traditional solver tools, then accuracy of electromagnetic modeling is improved, but analysis time increases considerably
Solution Approach 1:
The patent applies preliminary action by pre-computing electromagnetic responses for a set of representative structural configurations and storing them in a database. When analyzing a new design, the system identifies similar pre-computed cases and uses their stored electromagnetic responses directly, avoiding the need to perform time-consuming electromagnetic solver calculations from scratch. This resolves the contradiction by trading initial computational effort for rapid subsequent analyses.
Solution Approach 2:
The patent uses copying by creating simplified surrogate models that replicate the behavior of complex electromagnetic systems. These surrogate models are trained on data from detailed electromagnetic simulations and can predict electromagnetic responses much faster. The system copies the essential electromagnetic characteristics into a computationally efficient form, maintaining accuracy while dramatically reducing analysis time.
2Reliability
If electromagnetic effects are coupled with structural analysis, then comprehensiveness of design evaluation is improved, but computational complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the coupled electromagnetic-structural analysis into separate independent modules. The structural analysis and electromagnetic analysis are performed separately using their own specialized solvers, and the results are integrated through a coupling framework. This allows each module to be optimized independently and enables parallel computation, reducing overall computational complexity while maintaining comprehensive evaluation capability.
Solution Approach 2:
The patent introduces an intermediary coupling framework that acts as a mediator between the structural analysis module and electromagnetic analysis module. This intermediary manages data exchange, synchronizes computations, and integrates results from both disciplines. By using this intermediary layer, the system achieves comprehensive coupled analysis without requiring a single monolithic complex solver, thus managing computational complexity effectively.
3Measurement precision
If detailed design parameters are extracted and processed for reduced order modeling, then accuracy of predictions is improved, but processing requirements increase
Solution Approach 1:
The patent applies the extraction principle by identifying and extracting only the most critical design parameters from detailed electromagnetic and structural analyses. Instead of using all available data, the system selects key parameters that have the greatest influence on prediction accuracy. This reduction in data dimensionality maintains prediction accuracy while significantly lowering processing requirements for creating and using reduced order models.
Data Source
AI summary
A method for modeling a new design for electromagnetic effects includes identifying, with a model based system engineering tool, an area of interest in the new design where a lightning strike may occur. The new design includes structural features and electromagnetic features. The method further includes generating, with an electromagnetic effects solver tool and a structural solver tool, a design model for the area of interest in the new design, extracting design parameters from the design model, and generating a reduced order model by processing the design parameters, test results, and simulation results with a modeling tool. The reduced order model couples the structural features with the electromagnetic features. The test results are determined by tests of known designs. The simulation results are determined by simulations of known models. The method further includes storing the reduced order model in a storage medium that is readable by a statistical modeling tool.