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Automatic in-Operation Modal Analysis for the continuous monitoring of high-speed railway bridges

机译:高速铁路桥梁连续监测的自动运行模态分析

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Steel-concrete composite bridges have been widely utilising in high-speed railways due to the reduced time and overall cost of the designing and construction phases. Of course a continuous improvement of the design procedures is requested to enhance safety and durability of these civil structures. To achieve these goals, the main point is a correct description of the dynamic behaviour of the structure during operation and in particular during train passages. Experimental test campaigns on existing structures and long-term vibration-based structural health monitoring are hence needed to have a more detailed information on the actual loading and fatigue resistance of this bridge typology, to be utilised for the improvement of numerical structural models. In-Operation Modal Analysis (OMA) has been developed because aimed at the experimental identification of structural dynamics models (i) based on output-only data and (ii) in those that are the real operating conditions. In the area of civil engineering where the possibility of performing a classical modal test of a large structure is complicated by how to obtain and measure the needed excitation inputs, OMA becomes the natural answer. With regards to the employment of permanent monitoring systems in this field, one has to recall that structural identification becomes closely related to the detection of changes in some of the system dynamics parameters - e. g. the time evolution of the natural frequencies - to single out the presence or the growth of a structural damage. In this paper, the possibility of performing an automatic OMA, acting in real time on the data of such a monitoring system has been analysed. The results coming by manually and automatically performing the Operational Modal Analysis of the experimental data have been successfully compared. In particular, two fundamental cases have been considered for the identification of the modal parameters of the bridge, (i) the pure ambient excitation in absence of rail vehicles and (ii) the free vibration of the bridge structure following a train passage.
机译:由于设计和施工阶段的减少和总体成本,钢混凝土复合桥已广泛利用高速铁路。当然,请持续改进设计程序,以提高这些民用结构的安全性和耐用性。为了实现这些目标,主要点是在操作期间的结构动态行为的正确描述,特别是在火车通道期间。因此,需要对现有结构和基于长期振动的结构健康监测的实验测试运动是有关该桥本类型的实际装载和疲劳电阻的更详细信息,以便用于改善数值结构模型。开发了操作的模态分析(OMA),因为旨在基于仅输出数据和(ii)的结构动力学模型(i)的实验识别,如实际操作条件。在土木工程领域的情况下,在如何获得和测量所需的激励输入的情况下进行大型结构的经典模态测试的可能性复杂,OMA成为自然答案。关于在该领域的永久监测系统的就业方面,必须记得结构识别与一些系统动态参数的变化的检测密切相关。 G。自然频率的时间演变 - 单一的结构损伤的存在或生长。在本文中,已经分析了执行自动OMA的可能性,实时作用于这种监控系统的数据。比较了通过手动和自动执行实验数据的操作模态分析的结果。特别是,已经考虑了识别桥的模态参数的两个基本情况,(i)在没有轨道车辆的情况下纯环境激发和(ii)列车通道之后的桥结构的自由振动。

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