Monitoring, Understanding and Assessment of Complex Structural Behaviour
复杂结构行为的监测、理解和评估
基本信息
- 批准号:RGPIN-2016-03733
- 负责人:
- 金额:$ 2.62万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2016
- 资助国家:加拿大
- 起止时间:2016-01-01 至 2017-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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、维修和更换基础设施,加拿大的经济和环境负担日益沉重。对于结构工程界来说,有机会通过优化设计、施工和评估方法来减少材料和其他资源的使用,从而帮助减轻这一负担。研究表明,优化设计可以将结构中的材料使用减少30%,这将导致成本和二氧化碳排放量的减少。由于钢铁和水泥生产约占工业二氧化碳排放量的50%,建筑业占GDP的6%(738亿美元),因此这些节省将是显著的。同样,如果施工时间表可以缩短,这将导致减少能源使用和降低成本。最后,对现有结构进行更准确的评估还可以通过使现有结构保持更长的使用时间来节省大量成本和二氧化碳。
然而,工程师往往是有限的设计和分析技术,他们可以使用,因为需要保守的结构行为的准确信息的情况下。分布式光纤传感器(FOS)、无线传感器网络(WSN)和数字图像相关(DIC)等新的传感器技术可以提供关键信息来填补这一知识空白,并实现优化设计、施工和评估。这项研究计划将有助于在如何使用新的传感器技术来改善方面取得突破性进展:(i)双向板的设计,(ii)大型建筑物的建造,以及(iii)桥梁的评估。
该研究计划将利用独特的加拿大创新基金会资助的实验室设施和仪器技术提供给申请人。拟议的研究将推进结构工程的最新技术水平:(a)使用大规模的实验和分布式传感器系统,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,使材料的使用,施工时间和使用寿命可以优化,以及(c)提供HQP的工程技能,是非常需要在加拿大和国外。
研究成果将包括指导如何优化双向板的设计,改进大型建筑物的施工指导,以及更好地理解可变荷载路径对钢筋混凝土梁抗剪承载力的影响,这将导致更准确的规范方法。加拿大将从这项研究中获益,降低基础设施成本和环境影响。将培养三名硕士和三名博士生,他们具有优化结构设计领域的专业技能和专业工程师所需的核心技能。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Hoult, Neil其他文献
Monitoring Reinforced Concrete Serviceability Performance Using Fiber-Optic Sensors
- DOI:
10.14359/51710870 - 发表时间:
2019-01-01 - 期刊:
- 影响因子:1.8
- 作者:
Brault, Andre;Hoult, Neil - 通讯作者:
Hoult, Neil
Hoult, Neil的其他文献
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{{ truncateString('Hoult, Neil', 18)}}的其他基金
Reimagined Environmentally-friendly Design (RE-Design) of Reinforced Concrete Infrastructure
重新构想钢筋混凝土基础设施的环保设计(RE-Design)
- 批准号:
RGPIN-2021-02427 - 财政年份:2022
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Individual
Reimagined Environmentally-friendly Design (RE-Design) of Reinforced Concrete Infrastructure
重新构想钢筋混凝土基础设施的环保设计(RE-Design)
- 批准号:
RGPIN-2021-02427 - 财政年份:2021
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Individual
Development, Design, and Implementation of Low Carbon Concrete Structures
低碳混凝土结构的开发、设计和实施
- 批准号:
568538-2021 - 财政年份:2021
- 资助金额:
$ 2.62万 - 项目类别:
Alliance Grants
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 - 财政年份:2020
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Individual
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 - 财政年份:2019
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Individual
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 - 财政年份:2018
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Individual
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:
493004-2016 - 财政年份:2018
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
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 - 财政年份:2017
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Individual
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:
493004-2016 - 财政年份:2017
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Infrastructure performance monitoring and assessment
基础设施性能监控和评估
- 批准号:
386126-2010 - 财政年份:2014
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Individual
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