Understanding and improving energy dissipation and vibration damping in structures subject to self-excited irregular vibrations – linking data driven approaches with modelling

了解和改善受自激不规则振动影响的结构中的能量耗散和振动阻尼 – 将数据驱动方法与建模联系起来

• 批准号: 314996260
• 负责人: Professor Dr. Norbert Hoffmann
• 金额: --
• 依托单位: Institut für Strukturdynamik
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/314996260?language=en
• 关键词: Understanding; improving; energy; dissipation; vibration

The focus of the project is on the development of a method to analyse and characterise the influence and role of damping design elements and dissipation mechanisms in multi-component systems with self-excitation subject to complex system states and manifold load cases.While for regular dynamics, i.e. stationary periodic response or linear transients, damping elements and mechanisms can be described with standard techniques, for irregular dynamics it is a largely unsolved problem to identify sources and sinks of energy or even the flow of energy in structures. In addition, most technical systems contain a plethora of local nonlinearities and damping elements, e.g. the joints and contact interfaces of the system, and are subject to a multitude of different load cases. This causes a challenging scenario for the assessment of damping devices. In the irregular vibrational state the manifold energy sinks are in constant interaction. At the latest, the additional complexity caused by the manifold load cases makes the application of simple bottom-up physics-based damping or dissipation description for the assessment of damping devices impossible. Hence, new techniques to characterize damping design elements are required. In this context we propose developing methods for the thorough analysis of the vibration response as well as the structural, damping and load parameters. The first part will focus on developing the analysis and computational methods for studying damping devices in friction-excited systems subject to irregular vibrations and is restricted to computer modelling and data derived from numerical models. In this context methods from nonlinear time series analysis and multivariate statistics are employed and combined. The central element is the data matrix M which is filled with characteristic quantities from different classes for multiple load cases. The final result is a procedure for the assessment and optimization of damping devices and dissipation mechanisms in systems subject to irregular vibrations.The second part will strive to extend the approach to systems where data obtained from physical testing is included, and will thus serve as a validation element. The considered systems are a pin-on-disk system and an automotive friction brake. As almost always in validation, the ideal expectation for the outcome is that the approach developed earlier can be transferred to real and larger systems without further complications. However, we expect that the validation work that we propose to conduct here will also lead to new insights into how the approach itself has to be tailored or perhaps modified to reach robust and convincing results. The proposal strives to overcome existing boundaries between the domains of physics-based system modelling, data analysis and time-series analysis, as well as design. Thereby it has a highly visionary and ambitious tone.

该项目的重点是开发一种方法，用于分析和验证阻尼设计元件和耗散机制在复杂系统状态和多种负载情况下具有自激的多组件系统中的影响和作用。而对于规则动态，即平稳周期响应或线性瞬态，阻尼元件和机制可以用标准技术描述，对于不规则动力学，识别能量的源和汇或者甚至结构中的能量流是很大程度上未解决的问题。此外，大多数技术系统包含过多的局部非线性和阻尼元件，例如系统的接头和接触界面，并且经受多种不同的载荷情况。这对阻尼装置的评估造成了挑战。在不规则振动状态下，多种能量汇处于恒定的相互作用中。最后，由多个负载情况引起的额外复杂性使得简单的自下而上的基于物理的阻尼或耗散描述的应用不可能用于阻尼装置的评估。因此，需要新的技术来表征阻尼设计元素。在这方面，我们提出了开发方法的振动响应以及结构，阻尼和负载参数的彻底分析。第一部分将侧重于发展的分析和计算方法，研究阻尼装置的摩擦激励系统受到不规则的振动，并限于计算机建模和来自数值模型的数据。在这种情况下，从非线性时间序列分析和多元统计的方法被采用和结合。中心元素是数据矩阵M，其填充有来自多个载荷情况的不同类别的特征量。最后的结果是一个程序的评估和优化系统中的阻尼装置和耗散机制受到不规则的vibrations.The第二部分将努力扩展的方法，从物理测试获得的数据包括在内的系统，因此将作为一个验证元素。所考虑的系统是销盘系统和汽车摩擦制动器。与验证中几乎总是一样，对结果的理想期望是早期开发的方法可以转移到真实的和更大的系统中，而不会出现进一步的复杂性。然而，我们希望我们在这里建议进行的验证工作也将导致对方法本身如何进行定制或修改以获得强大和令人信服的结果的新见解。该提案力求克服基于物理的系统建模、数据分析和时间序列分析以及设计等领域之间的现有界限。因此，它具有高度的远见和雄心勃勃的基调。