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
• 负责人: Hoult, Neil
• 金额: $ 2.26万
• 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: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=749360
• 关键词: Reimagined; Environmentally; friendly; Design; RE

The use of distributed sensing enables an understanding of structural behaviour of reinforced concrete (RC) infrastructure, such as bridges and buildings, that has never before been possible. This data from a large number of sensors, when coupled with sophisticated approaches to analysis, will impact structural engineering by leading to groundbreaking advances in RC design. At the same time, 2.5 billion more people will live in urban areas by the year 2050, creating significant demand for infrastructure and increasing CO2 production. Research into shape optimization of RC flexural members has shown the possibility of reducing embodied CO2 by 20-44%. In addition, the use of functionally graded concrete (FGC), where the amount of cement varies based on the structural demand, could further reduce material use. But widespread implementation comes with the challenge of providing designers, builders, and owners with understanding of how these choices affect complex structural performance and confidence in their behaviour. The Reimagined Environmentally-friendly Design (RE-Design) program will enable the design and use of RC infrastructure with significantly reduced embodied CO2 through 1) the development of innovative RC experiments that provide unique data sets to better understand complex behaviour, and 2) the development of techniques for merging high-quality distributed sensor measurements with robust numerical models (sensor-analysis fusion) for parametric studies that will lead to reimagined design approaches to reduce CO2 content. The research program is divided into three themes: 1. Structural optimization enhancement, 2. FGC development, and 3. Sensor-analysis fusion. Theme 1 will involve the testing of beams with optimized cross-sections and slabs with varying levels of axial restraint. Theme 2 will involve tests of both slender and deep FGC beams with combinations of normal and reduced cement (~40% less) concrete. These tests, coupled with distributed sensing data, will enable the behaviour of these low embodied CO2 specimens to be understood. Theme 3 will develop techniques for merging the results of experiments with numerical models (sensor-analysis fusion) to model the experiments from Themes 1 and 2 and to undertake parametric studies to develop design approaches. The anticipated outcomes of this project include i) providing civil infrastructure at a lower cost to society, both economic and environmental, by reducing material use, ii) potential reductions in global CO2 emissions of up to 5% through the use of innovative technologies and design, and iii) new design techniques that can be adapted for structures using carbon neutral materials, such as timber, and to keep existing RC infrastructure assets in service. The research will result in the training of 14 HQP and position Canada as a leader in this area in terms of HQP training and research expertise, enabling Canadian consultants to offer leading edge services internationally.

使用分布式传感可以了解桥梁和建筑物等钢筋混凝土 (RC) 基础设施的结构行为，这在以前是不可能的。来自大量传感器的数据与复杂的分析方法相结合，将通过导致 RC 设计的突破性进步来影响结构工程。与此同时，到 2050 年，居住在城市地区的人口将增加 25 亿，对基础设施产生巨大需求，并增加二氧化碳排放。对 RC 弯曲构件形状优化的研究表明，可以将二氧化碳排放量减少 20-44%。此外，使用功能级配混凝土（FGC）（水泥用量根据结构需求而变化）可以进一步减少材料使用。但广泛实施带来的挑战是让设计师、建筑商和业主了解这些选择如何影响复杂的结构性能以及对其行为的信心。 重新构想的环保设计（RE-Design）计划将通过 1）开发创新的 RC 实验，提供独特的数据集以更好地理解复杂的行为，以及 2）开发将高质量分布式传感器测量与用于参数研究的强大数值模型（传感器分析融合）相结合的技术，这将导致重新设计减少二氧化碳含量的设计方法。 该研究计划分为三个主题：1.结构优化增强，2.FGC开发，3.传感器分析融合。主题 1 将涉及对具有优化横截面的梁和具有不同轴向约束水平的板进行测试。主题 2 将涉及对细长和深 FGC 梁以及普通水泥和减量水泥（约少 40%）混凝土的组合进行测试。这些测试与分布式传感数据相结合，将使人们了解这些低含量二氧化碳样本的行为。主题 3 将开发将实验结果与数值模型（传感器分析融合）合并的技术，以对主题 1 和 2 的实验进行建模，并进行参数研究以开发设计方法。该项目的预期成果包括 i) 通过减少材料使用，以较低的社会经济和环境成本提供民用基础设施，ii) 通过使用创新技术和设计，全球二氧化碳排放量可能减少高达 5% ，以及 iii) 新的设计技术，可适用于使用碳中性材料（例如木材）的结构，并保持现有的 RC 基础设施资产正常使用。该研究将培训 14 名 HQP，并使加拿大在 HQP 培训和研究专业知识方面成为该领域的领导者，使加拿大顾问能够在国际上提供领先的服务。