CAREER: Enabling Methods for Modeling and Control of Transitional and Turbulent Wall-Bounded Shear Flows

职业:过渡和湍流壁界剪切流的建模和控制方法

基本信息

  • 批准号:
    0644793
  • 负责人:
  • 金额:
    $ 40万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2007
  • 资助国家:
    美国
  • 起止时间:
    2007-03-01 至 2013-02-28
  • 项目状态:
    已结题

项目摘要

This proposal introduces new methods for modeling and control of transitional and turbulent wall-bounded shear flows. An important attribute of the proposed work is that it builds upon recent research manifesting the significance of uncertainty, such as free-stream turbulence and wall roughness, in channels, pipes, and boundary layers. Drag reduction by sensorless mechanisms is a promising technology, as it represents a much simpler alternative to feedback flow control with wall-mounted arrays of sensors and actuators. Although several numerical and experimental studies indicate that properly designed sensorless strategies yield significant drag reduction, an obstacle to fully utilizing these approaches is the absence of a theoretical framework for their design and optimization. This lack of analytical tools greatly impedes the synthesis of sensorless schemes as well as their extension to different flow regimes. The PI will develop a system-theoretic paradigm for design and optimization of sensorless flow control strategies. The new paradigm is a spatio-temporal analog of the well-known principle of vibrational control, where the system's dynamical properties are altered by introducing zero-mean vibrations into the system's coefficients. The PI's theoretical findings will enable more efficient drag reduction strategies and provide guidelines for design of various surface-based actuation techniques. Since distributed systems are becoming ubiquitous in modern technology, the educational goal of this proposal is to make distributed concepts more pervasive at the undergraduate and early graduate level. The PI will launch a new introductory course that will emphasize classes of systems characterized by their structural properties, practical applications, and physical interpretations. In collaboration with the Science Museum of Minnesota, the PI will organize popular lectures on diversity of flow control strategies in nature. Several video demonstrations will be used to illustrate how observations from the natural world motivate research, engineering design, and technology development. The PI's goal is to provide high-school students with an early exposure to the central role of control engineering in bringing the efficiency of natural fliers and swimmers to man-made systems. Flow modeling and control is a promising active research area in systems and control theory. The ability to manipulate and control fluid flows is of paramount importance in many applications including transport in pipes, drag reduction for air and water vehicles, and mixing enhancement in chemical reactors and combustion engines. The potential benefits of successful flow control strategies are enormous; they range from economic gains in fuel savings to improved performance of engineering systems involving fluid flows. Since skin-friction drag directly translates into large fuel consumption for airplanes, ships, and submarines, there is a critical demand for development and utilization of advanced theoretical and computational techniques proposed in this work.
该提案引入了过渡和湍流壁面剪切流建模和控制的新方法。所提出的工作的一个重要属性是,它建立在最近的研究基础上,这些研究表明了通道、管道和边界层中的自由流湍流和壁粗糙度等不确定性的重要性。无传感器机制减阻是一项很有前途的技术,因为它代表了一种比使用壁挂式传感器和执行器阵列的反馈流量控制更简单的替代方案。尽管一些数值和实验研究表明,正确设计的无传感器策略可以显着减少阻力,但充分利用这些方法的一个障碍是缺乏设计和优化的理论框架。分析工具的缺乏极大地阻碍了无传感器方案的综合及其对不同流态的扩展。 PI 将开发一种系统理论范式,用于设计和优化无传感器流量控制策略。新范例是众所周知的振动控制原理的时空模拟,通过在系统系数中引入零均值振动来改变系统的动态特性。 PI 的理论发现将实现更有效的减阻策略,并为各种基于地面的驱动技术的设计提供指导。由于分布式系统在现代技术中变得无处不在,因此该提案的教育目标是使分布式概念在本科生和早期研究生阶段更加普遍。 PI 将推出一门新的入门课程,该课程将强调以结构特性、实际应用和物理解释为特征的系统类别。 PI 将与明尼苏达州科学博物馆合作,组织有关自然界流量控制策略多样性的热门讲座。将使用几个视频演示来说明对自然世界的观察如何激发研究、工程设计和技术开发。 PI 的目标是让高中生尽早了解控制工程在将自然飞行者和游泳者的效率提升到人造系统方面的核心作用。流动建模和控制是系统和控制理论中一个有前途的活跃研究领域。操纵和控制流体流动的能力在许多应用中至关重要,包括管道运输、空气和水上交通工具的减阻以及化学反应器和内燃机中的混合增强。成功的流量控制策略的潜在好处是巨大的;它们的范围从节省燃料的经济收益到涉及流体流动的工程系统性能的提高。由于表面摩擦阻力直接转化为飞机、船舶和潜艇的大量燃油消耗,因此迫切需要开发和利用这项工作中提出的先进理论和计算技术。

项目成果

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Mihailo Jovanovic其他文献

Harnessing Metformin’s Immunomodulatory Effects on Immune Cells to Combat Breast Cancer
利用二甲双胍对免疫细胞的免疫调节作用来对抗乳腺癌
  • DOI:
    10.3390/ijms25115869
  • 发表时间:
    2024-05-28
  • 期刊:
  • 影响因子:
    5.6
  • 作者:
    Andjela Petrovic;Ivan Jovanović;Bojan Stojanović;Milica N Dimitrijević Stojanović;Bojan Stojanović;M. Jurišević;Bojana Simović Marković;Marina Jovanovic;Milan M Jovanović;Mihailo Jovanovic;N. Gajović
  • 通讯作者:
    N. Gajović

Mihailo Jovanovic的其他文献

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{{ truncateString('Mihailo Jovanovic', 18)}}的其他基金

The proximal augmented Lagrangian method for distributed and embedded nonsmooth composite optimization
用于分布式嵌入式非光滑复合优化的近端增广拉格朗日方法
  • 批准号:
    1809833
  • 财政年份:
    2018
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Distributionally Robust Control and Incentives with Safety and Risk Constraints
具有安全和风险约束的分布式鲁棒控制和激励
  • 批准号:
    1708906
  • 财政年份:
    2017
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
CRII: CPS: Information-Constrained Cyber-Physical Systems for Supermarket Refrigerator Energy and Inventory Management
CRII:CPS:超市冰箱能源和库存管理的信息受限网络物理系统
  • 批准号:
    1657100
  • 财政年份:
    2017
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Sparsity-promoting optimal design of large-scale networks of dynamical systems
大规模动力系统网络的稀疏性优化优化设计
  • 批准号:
    1739210
  • 财政年份:
    2017
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Low-complexity Stochastic Modeling and Control of Turbulent Shear Flows
湍流剪切流的低复杂度随机建模和控制
  • 批准号:
    1739243
  • 财政年份:
    2017
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Low-complexity Stochastic Modeling and Control of Turbulent Shear Flows
湍流剪切流的低复杂度随机建模和控制
  • 批准号:
    1363266
  • 财政年份:
    2014
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Sparsity-promoting optimal design of large-scale networks of dynamical systems
大规模动力系统网络的稀疏性优化优化设计
  • 批准号:
    1407958
  • 财政年份:
    2014
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Collaborative Research: Algorithms for Design of Structured Distributed Controllers with Application to Large-Scale Vehicular Formations
合作研究:应用于大规模车辆编队的结构化分布式控制器设计算法
  • 批准号:
    0927720
  • 财政年份:
    2009
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant

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