基于模态信息和颤振裕度的桥梁颤振预测与主动控制

IF 5.1 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Xiaojun Wei, Ran Xia, Hao Wu, Xinran Guo, Zihan Tan, Yingying Wei, Xuhui He
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引用次数: 0

摘要

本文提出了一种基于颤振裕度的流线型桥梁颤振预测方法,该桥梁的气动弹性特性可以用二自由度颤振模型很好地近似。该方法可以通过外推颤振裕度与风速的曲线来预测颤振边界,该曲线是在几个亚临界风速下使用颤振裕度构建的。此外,提出了一种基于实测容量和颤振裕度的颤振最优主动控制方法。它可以为每个考虑的迎角(AoA)分配颤振边界到规定的风速值或范围,同时使用具有最佳控制努力的单个控制器最小化亚临界风速下的振动响应。因此,所设计的控制器对风速和AoA的变化具有较强的鲁棒性。所提出的颤振预测和控制方法只需要少量的系统模态参数或几个亚临界风速下的开环接收量。所提出的颤振预测方法比现有的跟踪阻尼比随风速变化的方法需要更少的系统模态参数。所提出的颤振抑制方法避免了传统基于系统矩阵方法的建模误差。通过风洞试验和CFD仿真验证了所提出的颤振预测和控制方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Bridge Flutter Prediction and Active Control Using Modal Information and Flutter Margins

Bridge Flutter Prediction and Active Control Using Modal Information and Flutter Margins

In this paper, a flutter prediction method based on flutter margins is proposed for streamlined bridges whose aeroelastic behavior can be well approximated by a two-degree-of-freedom (2-DoF) flutter model. The method enables prediction of the flutter boundary by extrapolating a curve of flutter margin versus wind speed, constructed using flutter margins at several subcritical wind speeds. In addition, an -optimal flutter active control method based on measured receptances and flutter margins is proposed. It enables assignment of the flutter boundary to a prescribed wind speed value or range for each considered angle of attack (AoA), while simultaneously minimizing vibration responses at subcritical wind speeds, using a single controller with optimal control effort. Hence, the designed controller is robust to the variations of wind speed and AoA. The proposed flutter prediction and control methods require only a small number of systems’ modal parameters or open-loop receptances at several subcritical wind speeds. The proposed flutter prediction method typically requires fewer system modal parameters than existing methods that track the variation of damping ratio against wind speed. The proposed flutter suppression method avoids some modeling errors associated with conventional system matrix-based methods. The working of the proposed flutter prediction and control methods are validated using wind tunnel tests and CFD simulations, respectively.

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来源期刊
Structural Control & Health Monitoring
Structural Control & Health Monitoring 工程技术-工程:土木
CiteScore
9.50
自引率
13.00%
发文量
234
审稿时长
8 months
期刊介绍: The Journal Structural Control and Health Monitoring encompasses all theoretical and technological aspects of structural control, structural health monitoring theory and smart materials and structures. The journal focuses on aerospace, civil, infrastructure and mechanical engineering applications. Original contributions based on analytical, computational and experimental methods are solicited in three main areas: monitoring, control, and smart materials and structures, covering subjects such as system identification, health monitoring, health diagnostics, multi-functional materials, signal processing, sensor technology, passive, active and semi active control schemes and implementations, shape memory alloys, piezoelectrics and mechatronics. Also of interest are actuator design, dynamic systems, dynamic stability, artificial intelligence tools, data acquisition, wireless communications, measurements, MEMS/NEMS sensors for local damage detection, optical fibre sensors for health monitoring, remote control of monitoring systems, sensor-logger combinations for mobile applications, corrosion sensors, scour indicators and experimental techniques.
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