Hybrid Solution for Nonlinear Structural Dynamics in OpenFEDEM

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We are excited to share a prototype of a hybrid solution developed in OpenFEDEM for efficiently solving nonlinear structural dynamics problems, where capturing high-frequency responses is crucial. This hybrid approach involves splitting the load input into low and high-frequency components. The split is performed over a frequency window with appropriate scaling of the responses within that window.

Key aspects of the hybrid solution:

1. Low-Frequency Component: Used as input for the Newmark time integration method.
2. High-Frequency Component: Used as input for a linear frequency domain solution.

Given the global nonlinear behavior, the system matrices for the frequency domain analysis are updated with the same time increment as the Newmark time integration. However, in the current implementation, the responses from the two solutions are not yet merged into a single response set.

Topics for Discussion and Development
We invite the community to contribute ideas and feedback on the following development areas:

• Extended and Improved UX/UI Interaction: Enhancements to user experience and interface interaction for better usability.
• Merging Responses: Developing a method to merge the responses from the Newmark time integration and frequency domain analysis into a single response set (file format: .frs).
• Improved Frequency Domain Solver: Optimizing the solver for frequency domain calculations, currently utilizing full matrices, to improve efficiency.
• Enhanced Window Functions: Incorporating more window functions and providing better control over their parameters.

As this capability shows promising results and works correctly on simple examples, we are now seeking more advanced tests and benchmarks to quantify its correctness, efficiency, and efficacy.

If you are interested in this type of application, please reach out to:

• For application topics: [email protected]
• For implementation topics: [email protected]

We look forward to your contributions and insights.