S-Lynks:操作模态分析和超低噪声 MEMS 加速器

来源:www.gulfoilandgas.com 2024 年 3 月 4 日,地点:欧洲

利用环境振动对桥梁进行动态结构监测的无线传感系统

简介
尽管研究活动很活跃,但结构健康监测 (SHM) 尚未得到资产所有者和当局的广泛接受,这可能是由于现实世界的要求与结构健康监测 (SHM) 之间的不匹配造成的奉献。

结构的动态监测通常使用振动传感器(例如 PZT 加速度计、力平衡加速度计或地震检波器)进行,这些传感器使用铺设在结构上的电缆连接到采集单元。尽管有线 SHM 系统为传感器提供所需的同步和电源,但它们具有很强的侵入性、长期不可靠且成本高昂。

要求
使用环境(因此自由)振动对结构进行动态结构监测,称为操作模态分析 (OMA),是一种特别强大而简单的方法,可以以低侵入性监测结构的整体动态变化。

OMA 的主要输出参数称为模态参数,是结构各种振动模式的频率、阻尼和相关模态振型。这些模态参数随时间的演变可能表明考虑到季节性和温度对结构的影响已被消除,结构发生了变化。


这种方法背后的基本原理是假设传感器特性不随温度和老化而变化,并且与结构变化引起的模态参数变化相比,模态参数估计的不确定性很小。

从资产所有者的角度来看,为了促进 OMA 的采用,需要解决一些运营限制。系统应易于安装、操作和维护:传感器在安装过程中不需要任何调平,并且不会出现任何漂移或老化,从而避免昂贵的重复校准。

解决方案/专业知识
就传感器而言,它应能够测量非常低频的环境振动,对于土木工程结构通常在 0.1Hz 至 30Hz 之间。传感器的频率响应在感兴趣的频段内的幅度和相位都应平坦且稳定,以避免环境振动数据失真。振型随时间的演变被认为是结构中发生的结构变化的相关指标。因此,跟踪模态振型的细微变化的能力对于开发有效的基于 OMA 的 SHM 系统至关重要。传感器之间的同步精度已被证明对振型精度有影响。

所提出的解决方案称为 S-lynks,旨在克服前面描述的当前 SHM 系统的所有限制。


它是一种使用自动化操作模态分析对土木工程结构进行结构监控的工业集中式解决方案。

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简介
尽管进行了大量研究...





原文链接/gulfoilandgas

S-Lynks: Operational Modal Analysis & Ultra Low Noise MEMS Accelerator

Source: www.gulfoilandgas.com 3/4/2024, Location: Europe

Wireless sensing system for dynamic structural monitoring of bridges using ambient vibrations

INTRODUCTION
Despite intense research activity, Structural Health Monitoring (SHM) has not yet been widely embraced by asset owners and authorities, which is likely due to a mismatch between real-world requirements and SHM offering.

Dynamic monitoring of structures is usually performed using vibration sensors, such as PZT accelerometers, Force Balance Accelerometers or Geophones, connected to acquisition units using cables which are laid down on the structure. Although wired SHM systems provide the required synchronization and power to the sensors, they are very intrusive, not reliable on the long term and very costly.

REQUIREMENT
Dynamic structural monitoring of structures using ambient (hence free) vibrations, called Operational Modal Analysis (OMA), is a particularly powerful yet simple method to monitor global dynamic changes in structures with low intrusiveness.

The main output parameters of the OMA, called modal parameters, are the frequency, damping and associated modal shapes of the various vibration modes of the structure. Evolution with time of these modal parameters may indicate structural change considering seasonal and temperature effects on the structure have been removed.


The rationale behind this approach is the assumption that the sensors characteristics don’t change with temperature and aging and that the uncertainties in the modal parameters estimation are small compared to the change of modal parameters due to structural change.

From the asset owner’s perspective, there are several operational constraints to address in order to facilitate the adoption of OMA. The system shall be easy to install, operate and maintain: The sensors shall not require any leveling during installation and they shall not experience any drift or aging, so as to avoid costly recurrent calibrations.

SOLUTIONS/EXPERTISE
In term of sensor, it shall be able to measure very low frequency ambient vibrations, typically between 0.1Hz and 30Hz for civil engineering structures. The sensor frequency response shall be flat and stable, both in amplitude and in phase in the frequency band of interest, so as to avoid distortion of the ambient vibration data. Evolution of mode shapes with time is thought to be a relevant indicator of structural changes occurring in the structure. The ability to track subtle changes in mode shapes is therefore crucial to the development of effective OMA-based SHM systems. The synchronization accuracy between sensors has been shown to have an effect on the accuracy of mode shapes.

The proposed solution, called S-lynks, has been designed to overcome all the limitations of the current SHM systems described previously.


It is an industrial centralized solution for structural monitoring of civil engineering structures using automated Operational Modal Analysis.

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INTRODUCTION
Despite intense research a...