A high-speed imaging facility for Queen's University

女王大学的高速成像设施

• 批准号: 423370-2012
• 负责人: Take, WilliamAndrew
• 金额: $ 3万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments - Category 1 (<$150,000)
• 财政年份: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=495927
• 关键词: speed; imaging; facility; Queen; University

The ability to observe and measure rapid changes in behaviour is the key to understanding many of the most significant problems in both civil engineering and human interaction. In Canada the civil engineering community faces pressing challenges in how to assess the risk associated with (i) climate change driven landslides, (ii) aging reinforced concrete infrastructure and (iii) deteriorated railway foundation systems. As recent events across Canada and around the world have illustrated, landslides can have a devastating effect on surrounding populations and transportation networks. And yet there is little understanding of the key drivers of these rapid events including the effect of increasingly severe weather events associated with climate change. Many reinforced concrete structures that were built in the mid-twentieth century are approaching the end of their design lives but cannot all be replaced. Instead a better understanding of their performance is required so that they are repaired or replaced only when necessary without compromising the safety of the Canadian public. Similar issues exist on Canadian railways where a wholesale replacement of tracks is impossible and so localized repairs must be used. However detecting which areas of track require repair and ensuring that these repairs are effective is difficult to do. What links each of these areas is the need for robust dynamic data sets that will allow engineers to better understand and predict behaviour. A similar need exists in psychology where dynamic and subtle changes in facial expressions are the key to understanding this aspect of human interaction.

观察和测量行为快速变化的能力是理解土木工程和人类互动中许多最重要问题的关键。在加拿大，土木工程界面临着如何评估以下风险的紧迫挑战：（i）气候变化导致的滑坡，（ii）老化的钢筋混凝土基础设施和（iii）恶化的铁路基础系统。正如最近在加拿大和世界各地发生的事件所表明的那样，山体滑坡可能对周围的人口和交通网络产生破坏性影响。然而，人们对这些快速事件的关键驱动因素知之甚少，包括与气候变化相关的日益严重的天气事件的影响。许多建于世纪中期的钢筋混凝土结构正接近其设计寿命的终点，但无法全部更换。相反，需要更好地了解它们的性能，以便只在必要时进行维修或更换，而不损害加拿大公众的安全。加拿大铁路也存在类似的问题，不可能大规模更换轨道，因此必须进行局部维修。然而，检测轨道的哪些区域需要维修并确保这些维修是有效的是很难做到的。连接这些领域的是对强大的动态数据集的需求，这些数据集将使工程师能够更好地理解和预测行为。心理学也有类似的需求，面部表情的动态和微妙变化是理解人类互动的关键。