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Thank you for this detailed explanation of modal damping theory and the case studies! The theoretical background is very helpful. To help reviewers better understand the implementation and potential use cases, could you provide some additional details? API and Usage
Use Cases and Scope
Testing
Breaking Changes
Thanks again for this contribution! The case study results look very promising for improving damping modeling in ROSS. |
Introduction: Modal Damping Theory
In structural dynamics and vibration analysis, modal damping is a widely used approach to model energy dissipation in linear systems. Rather than specifying damping directly in physical coordinates (which can be complex and non-intuitive), modal damping assumes that damping is diagonal in the modal coordinate system—i.e., each mode damps independently of the others.
This approach relies on the assumption that the system is classically damped, meaning the damping matrix C satisfies the orthogonality condition with respect to the mass (M) and stiffness (K) matrices:
Φᵀ C Φ = diagonal
where Φ is the matrix of mode shapes (eigenvectors). Under this assumption, the equations of motion can be decoupled into independent single-degree-of-freedom systems in modal space, greatly simplifying time- and frequency-domain analyses.
Modal damping is typically specified by assigning a damping ratio ζᵢ to each mode i, representing the fraction of critical damping for that mode. This is especially convenient in engineering practice, as modal damping ratios can often be estimated from experimental data or code-specified values.
This PR introduces support for modal damping in, enabling users to define damping properties per mode and improving the physical realism and flexibility of dynamic simulations.
Case Study:
In this case, a study was conducted in which the FRF was evaluated for two modes:
In the 1st case study, zeta = [0, 0] was considered,
In the 2nd case study, zeta = [0.05, 0] was considered,
In the 3rd case study, zeta = [0.01, 0.02] was considered.