Monitoring, Understanding and Assessment of Complex Structural Behaviour

复杂结构行为的监测、理解和评估

• 批准号: RGPIN-2016-03733
• 负责人: Hoult, Neil
• 金额: $ 2.62万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=653888
• 关键词: Monitoring; Understanding; Assessment; Complex; Structural

An ever increasing burden is being placed on Canada's economy and the environment by the need to build, repair and replace infrastructure. For the structural engineering community there is an opportunity to help alleviate this burden by reducing the use of materials and other resources through optimized approaches to design, construction, and assessment. Research has indicated that refined design could reduce the use of materials in structures by 30%, which would result in cost and CO2 emission reductions of a similar magnitude. These savings would be significant since steel and cement production accounts for approximately 50% of industrial CO2 emissions and the construction industry represents 6% of GDP ($73.8 billion). Similarly if construction timelines can be reduced, this would result in reduced energy use and lower costs. Finally, more accurate assessments of existing structures could also enable significant cost and CO2 savings by allowing existing structures to be kept in service longer. ***However, engineers are often limited in the design and analysis techniques they can use because of the need for conservatism in the absence of accurate information about structural behaviour. New sensor technologies such as distributed fibre optic sensors (FOS), wireless senor networks (WSN) and digital image correlation (DIC) could provide the critical information to fill this knowledge gap, and enable optimized design, construction, and assessment. This research program will contribute to groundbreaking advances in how new sensor technologies can be used to improve: (i) the design of two-way slabs, (ii) the construction of large buildings, and (iii) the assessment of bridge girders.***The research program will take advantage of the unique Canada Foundation for Innovation funded lab facilities and instrumentation technologies available to the applicant. The proposed research will advance the state of the art in structural engineering by: (a) using large-scale experiments and distributed sensor systems to understand complex structural systems, (b) developing approaches to modeling or assessing these systems so that material use, construction time and service life can be optimized, and (c) providing HQP with engineering skills that are highly desired in Canada and abroad.***The outcomes of the research will include guidance for how to optimize the design of two-way slabs, improved construction guidance for large buildings, and an improved understanding of the impact of variable load paths on the shear capacity of reinforced concrete beams that will lead to more accurate code approaches. Canada will see benefits from this research in terms of reduced infrastructure costs and environmental impact. Three MASc and three PhD students with specialty skills in the area of optimized structural design and core skills required of Professional Engineers will be trained.**

由于需要建造，修理和替代基础设施，因此对加拿大经济和环境承担了不断增加的负担。 对于结构工程社区，有机会通过优化的设计，施工和评估方法来减少材料和其他资源的使用来帮助减轻这种负担。研究表明，精制设计可以将结构中材料的使用减少30％，从而导致成本和二氧化碳排放量的减少。由于钢铁生产约占工业二氧化碳排放量的50％，而且建筑业占GDP的6％（738亿美元），因此这些节省很大。 同样，如果可以减少施工时间表，这将导致能源使用降低并降低成本。最后，对现有结构的更准确评估也可以通过使现有结构更长的时间来实现大量成本和二氧化碳节省。 ***然而，由于在没有有关结构行为的准确信息的情况下需要保守主义，工程师通常会限制他们可以使用的设计和分析技术。新的传感器技术，例如分布式光纤传感器（FOS），无线Senor网络（WSN）和数字图像相关性（DIC）可以提供关键信息以填补此知识差距，并启用优化的设计，构建和评估。 该研究计划将在如何使用新的传感器技术来改进的开创性进步方面做出贡献：（i）双向平板的设计，（ii）大型建筑物的建造以及（iii）桥梁梁的评估。拟议的研究将通过：（a）使用大规模实验和分布式传感器系统来推进结构工程的艺术状况，以了解复杂的结构系统，（b）开发方法来建模或评估这些系统，以便优化物质使用，施工时间和服务寿命，以及（c）在加拿大和竞选中提供高度努力的HQP，以提供高度努力。双向平板，改进了大型建筑物的施工指南，以及对可变负载路径对钢筋混凝土梁剪切能力的影响的改进，这将导致更准确的代码方法。加拿大将在降低基础设施成本和环境影响方面看到这项研究的好处。将培训三名MASC和三名在优化的结构设计和核心技能领域具有专业技能的博士学位学生。**