发表机构
University Josip Juraj Strossmayer; Max Planck Institute for Dynamics of Complex Technical Systems(约瑟普·尤拉伊·施特罗斯迈尔大学; 马克斯·普朗克复杂技术系统动力学研究所)
机构由 AI 辅助整理,请以论文原文为准。AI 中文总结
针对二阶微分方程描述的振动系统阻尼优化问题,提出采用重加权$l_1$最小化与剪枝技术的可扩展框架,通过数值实例验证了其效率与性能。
AI 中文摘要
我们研究由二阶微分方程描述的振动系统的阻尼优化问题,目标是确定系统中阻尼器的位置和粘度值,使其产生的平均总能量最低。我们提出了一种确定阻尼器数量和位置的新框架,采用重加权$l_1$最小化与剪枝技术,多个数值实例验证并说明了该方法的效率与性能。
英文摘要
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 numerical examples.
Comments17 pages, 6 figures