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Application of Chaos Theory Analysis to Smart Structure Techniques for Highway Infrastructures

机译:混沌理论分析在公路基础设施智能结构技术中的应用

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Chaos theory concerns dynamic behavior that is neither purely deterministic nor strictly random.It has several possible applications to smart structures in the highway infrastructures including:long term structural health monitoring,detection of hazardous loading conditions,sensor network optimization,and control of chaotic vibrations.This paper presents recent research at the Turner Fairbank Highway Research Center(TFHRC)of the Federal Highway Administration(FHWA)in application of chaos theory to these topics.This research has included advances in the nonlinear 3-dimensional finite element modeling of highway bridges in order to produce large-scale,high-fidelity computer simulations of bridge dynamics.This has enabled the investigation of loading and structural conditions that give rise to chaotic patterns structural response and also the sensitivity of monitoring systems for detecting damage using chaos parameters.Another area of research concerns the development of improved algorithms used in the analysis of structural response data for chaotic behavior.These include the application of Maximum Entropy to estimate the probability density functions of the response data and the use of non-Gaussian random variables in the approximation of chaotic trajectories by polynomial chaoses.A third research area concerns the writing of user-friendly Windows-based software for chaos theory analysis of highway bridge response data series.The presentation includes the application of these tools to several examples of different types of highway bridge structures including the AASHTO standard steel girder bridge,the Commodore Barry Bridge,the bascule drawbridge span of the new Woodrow Wilson Bridge and the Bill Emerson Cable-Stayed Bridge.This research has confirmed,on the basis of both numerical simulations and analysis of actual monitoring data,that bridges of different structural designs and construction materials can all exhibit chaotic behavior.Therefore chaos theory analysis can be essential in the successful implementation of smart techniques for the highway infrastructure.
机译:混沌理论涉及的动态行为既不是纯粹确定性的,也不是严格随机的。它在高速公路基础设施中的智能结构中具有多种可能的应用,包括:长期结构健康监测,危险载荷条件的检测,传感器网络优化以及混沌振动的控制。本文介绍了联邦公路管理局(FHWA)特纳费尔班克公路研究中心(TFHRC)在混沌理论应用于这些主题方面的最新研究。为了产生大型,高保真的桥梁动力学计算机仿真,这使得能够研究引起混沌模式结构响应的载荷和结构条件,以及利用混沌参数检测损伤的监控系统的灵敏度。研究涉及改进算法的发展ms用于分析混沌行为的结构响应数据,包括应用最大熵估计响应数据的概率密度函数,以及在多项式混沌近似混沌轨迹时使用非高斯随机变量.A第三研究领域涉及基于用户友好的Windows软件的编写,以对公路桥梁响应数据系列进行混沌理论分析。演讲内容包括将这些工具应用于几种不同类型的公路桥梁结构实例,包括AASHTO标准钢梁桥。 ,Commodore Barry桥,新的Woodrow Wilson桥的开启式吊桥跨度和Bill Emerson斜拉桥。这项研究已在数值模拟和实际监测数据分析的基础上确认了不同结构设计的桥梁建筑材料都可以表现出混沌行为。因此,对混沌理论进行了分析。对于成功实施公路基础设施的智能技术至关重要。

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