Developing an Advanced Hybrid System of Structural Health Monitoring

开发先进的结构健康监测混合系统

• 批准号: RGPIN-2016-05923
• 负责人: Cha, YoungJin
• 金额: $ 1.68万
• 依托单位: University of Manitoba
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=636437
• 关键词: Developing; Advanced; Hybrid; System; Structural

There is an essential and urgent need in engineering research communities for a reliable, efficient and robust structural health monitoring system to support the monitoring of aging structures like bridges. Many different vibration-based methods have been developed to detect damage in infrastructure, which are broadly categorized as data- and model-based approaches. However, damage detection methods that can account for the complexity of such problems as ambient temperature changes and non-uniform distribution of temperature across the bridges, still need to be developed. There is no best method in terms of accuracy, localization and quantification of damage, and cost efficiency. Most existing research has focused on only one or two tasks, such as detection or detection and localization of damage. A preferred solution to detect, localize, quantify and compensate for environmental effects would be to integrate both data and model-based methods. This would provide quantified damage information to help engineers make appropriate maintenance decisions. These concerns are driving the development of a new system of integrated hybrid damage detection systems that can address the shortcomings of existing methods.

工程研究界迫切需要一个可靠、高效、鲁棒的结构健康监测系统来支持桥梁等老化结构的监测。已经开发了许多不同的基于振动的方法来检测基础设施中的损坏，这些方法大致分为基于数据和基于模型的方法。然而，损伤检测方法，可以占这样的问题的复杂性，如环境温度的变化和跨桥梁的温度分布不均匀，仍然需要开发。就准确性、损害的定位和量化以及成本效益而言，没有最好的方法。大多数现有的研究只集中在一个或两个任务，如检测或检测和定位的损害。检测、定位、量化和补偿环境影响的一个首选解决方案是将基于数据和模型的方法结合起来。这将提供量化的损坏信息，以帮助工程师做出适当的维护决策。这些问题正在推动一个新的系统的集成混合损伤检测系统，可以解决现有方法的缺点的发展。