A Scalable Framework for Simultaneously Optimizing Damper Positions and Viscosities
Abstract
We consider damping optimization for vibrating systems described by a second-order differential equation. The goal is to determine the damping positions and viscosity values of the dampers in the system so that they produce the lowest average total energy. We propose a new framework for determining the number and positions of the dampers, using re-weighted $l_1$ minimization and pruning techniques. The efficiency and performance of our new approach are verified and illustrated in several numeric...
Description / Details
We consider damping optimization for vibrating systems described by a second-order differential equation. The goal is to determine the damping positions and viscosity values of the dampers in the system so that they produce the lowest average total energy. We propose a new framework for determining the number and positions of the dampers, using re-weighted minimization and pruning techniques. The efficiency and performance of our new approach are verified and illustrated in several numerical examples.
Source: arXiv:2609.01398v1 - http://arxiv.org/abs/2609.01398v1 PDF: https://arxiv.org/pdf/2609.01398v1 Original Link: http://arxiv.org/abs/2609.01398v1
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Sep 2, 2026
Mathematics
Mathematics
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