Developing an Advanced Hybrid System of Structural Health Monitoring

工程研究界迫切需要一套可靠、高效、稳健的结构健康监测系统来支持桥梁等老化结构的监测。许多基于振动的方法被开发出来用于检测基础设施的损伤，这些方法大致分为基于数据和基于模型的方法。然而，能够考虑环境温度变化和桥梁温度分布不均匀等复杂问题的损伤检测方法仍有待发展。就准确性、损伤的定位和量化以及成本效率而言，没有最好的方法。现有的研究大多集中在一两项任务上，如损伤的检测或损伤的检测与定位。检测、定位、量化和补偿环境影响的最佳解决办法是将数据和基于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修决策。这些问题正在推动一种新的集成混合损伤检测系统的开发，该系统可以解决现有方法的缺点。

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.