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Real time structural health monitoring and performance assessments of bridges

Real time structural health monitoring and performance assessments of bridges
桥梁的实时结构健康监测和性能评估
批准号:
536253-2018
负责人:
Mufti, Aftab
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

项目摘要

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中文摘要
翻译
大多数老化的桥梁-在测试时-被发现有足够的结构能力。通过使用持续监测来确保安全和运营能力,这些结构的使用寿命可以延长。通过安装结构健康监测系统并对监测结果进行分析,对桥梁的剩余使用寿命进行评估和状态评估。Intelligent Structures Canada是一家加拿大公司,为桥梁等土木结构的监测提供仪器和服务,并在加拿大安装了几座桥梁。最先进的基于云的数据存档用于存储从网桥流传输的数据。 目前,公司提供的分析工具有限。数据分析工具的开发是公司发展的重要组成部分。** 本项目将侧重于开发算法和分析工具,这些算法和分析工具可以稳健地使用真实的实时活载结构响应来评估结构的健康状况。在本项目中,将在桥梁上安装真实的时间SHM,包括应变计、温度传感器、加速度计和倾斜传感器,并进行真实的时间蜂窝数据传输。数据将存储在数据库中。将使用新型数据处理技术和可视化工具进行数据分析,以提取有关结构状况的所需信息。还将开发SHM软件和分析工具,以自动化分析程序,并自动报告桥梁评估。该研究项目将详细研究两类桥梁:(a)小马桁架桥,构成可靠性谱的低端;(B)多钢梁桥,代表可靠性谱的高端。开发综合软件来评估小马桁架和钢梁桥的极限承载能力,将有助于公司提供更高的,但安全的,这些桥梁的承载能力的估计。所提供的一套分析工具将使加拿大的桥梁资产得到更有效和更富有成效的利用。** 在开发过程中,研究团队和公司将密切合作,并就公司对研究和最终软件的不同想法和实施的看法和决定进行反馈。在本项目结束时,分析工具将用于评估几座现有桥梁。**
英文摘要
Most aging bridges -when tested- are found to have sufficient structural capacity. With the use of ongoing monitoring to ensure safety and operational capacity, the useful life of these structures can be extended. The residual service life and condition assessment of bridges is estimated by installing structural health monitoring (SHM) system and analyzing the results. Intelligent Structures Canada is a Canadian corporation which offers instrumentation and services for the monitoring of civil structures such as bridges and have instrumented several bridges in Canada. State of the art cloud based data archiving is used to store the data streamed from the bridges. Currently, limited analytic tools are available in the company. Development of data analysis tools is an important part of the development of the company. **This project will focus on developing algorithms and analytic tools that can robustly use real time live load structural response to assess the health of the structure. In this project, an installation of a real time SHM including strain gauges, temperature sensors , accelerometer, and tilt sensors with real time cellular data transmission on bridges will be conducted. The data will be stored in databases. Data analysis will be conducted using novel data processing techniques and visualization tools to extract the needed information about the condition of the structures. SHM software and analytic tools will be also developed to automate the analysis procedure as well as automate reporting the assessment of the bridges. The research project will study two categories of bridges in detail: (a) pony truss bridges, which constitute the lower end of the reliability spectrum, and (b) bridges with several steel girders, which represent the higher end of the reliability spectrum. The development of comprehensive software to evaluate the ultimate load carrying capacity of pony truss and steel girder bridges will help the company to provide higher, yet safe, estimates of the load carrying capacities of these bridges. The provided set of analytics tools will result in more effective and productive use of the bridge assets of Canada. **During the development process, the research team and company will work closely together and take feedback on the company's view and decisions about different ideas and implementation of the research and resulting software. By the end of this project, the analytical tools will be used to evaluate several existing bridges.**
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