Integration of Hybrid Inspection Data into Structural Health Monitoring

将混合检测数据集成到结构健康监测中

• 批准号: RGPIN-2017-04356
• 负责人: Arjomandi, Kaveh
• 金额: $ 1.6万
• 依托单位: University of New Brunswick
• 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=636425
• 关键词: Integration; Hybrid; Inspection; Data; into

Infrastructure around the world deteriorates as a result of aging, operational conditions, environmental loads, and sudden extreme events such as earthquakes. In Canada the civil infrastructure in poor and very poor conditions has been estimated to have a replacement cost of $141 billion. My research program concentrates on reducing the overall cost of development, maintenance, operation, and replacement of infrastructure by improving the process of health and reliability assessment of existing structures, known as Structural Health Monitoring (SHM).

由于老化、运行条件、环境负荷以及地震等突发极端事件，世界各地的基础设施都在恶化。在加拿大，条件很差和非常差的民用基础设施的重置费用估计为1 410亿美元。我的研究项目集中于通过改进现有结构的健康和可靠性评估过程，即结构健康监测（SHM），来降低基础设施的开发、维护、运营和更换的总体成本。