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Climate-resilient Modular Design for Indigenous Housing

Climate-resilient Modular Design for Indigenous Housing
原住民住房的气候适应性模块化设计
批准号:
RGPIN-2022-04755
负责人:
Elshaer, Ahmed
金额:
$1.75万
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:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31

项目摘要

项目成果

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中文摘要
翻译
在加拿大北部,土著社区正面临许多与住房有关的挑战,包括可用房屋短缺、建筑材料运输成本高、很难找到工人、建筑材料和系统的使用不足、无法抵抗恶劣气候以及施工季节短。气候变化进一步加剧了这些问题,由于加拿大北部受到气候变化影响的速度是全球的三倍,因此导致了更强的风和更低的温度。因此,迫切需要一种符合规范的结构解决方案,确保其重量轻、体积小,适合运输到偏远地区,提供足够的风致侧向荷载阻力和针对极端寒冷温度的绝缘,可以快速部署以适应较短的施工季节,并使用负担得起的建筑材料和系统。这项拟议的研究将开发一种使用“模块化建筑”技术的气候适应性解决方案,与传统方法相比,该技术能够生产大量质量更高、施工速度更快、成本更低的零部件,同时在建筑和运输过程中产生更少的废物和碳排放。模块化设计将进行量身定做和优化,以适应加拿大北部的建筑限制。这项研究的目标是(1)对加拿大北部的气候危害进行适当的表征,(2)检查不同的结构系统和材料性能以抵御恶劣气候,以及(3)优化模块化设计,以提高气候抵抗力和可负担性。这些目标将通过利用风洞测试和高保真计算流体力学模型来准确量化风对模块化结构的影响来实现。将通过实验测试、冷室和有限元分析来评估不同结构系统和材料的结构和热性能。最后,对模块化设计进行优化,以获得性能最佳的替代方案,在降低成本的同时提高风能和热力性能。该程序的创新之处在于,它能够通过经过实验验证的数值模型,并将这些模型与最先进的优化和基于人工智能的回归技术相结合,准确地模拟模块住宅的空气动力学和结构性能。这项研究的结果不仅将改善加拿大北部建筑环境的气候适应能力,还将促进和鼓励未来与风能、模块化结构、土著住房和多重危险风险相关的研究。此外,通过这项研究产生的知识将鼓励对加拿大北部的投资,并将努力减少与住房有关的对土著人民的许多社会经济影响。
英文摘要
In Northern Canada, Indigenous communities are experiencing many housing-related challenges, which include the shortage of available houses, the high cost of transporting construction materials, the difficulty to find workers, the use of inadequate construction materials and systems that can not resist the severe climate, and the short construction season. These problems are further compounded by climate change, which induces stronger wind and colder temperatures since Northern Canada is getting affected by climate change at three times the global rate. Therefore, there is an urgent need for a code-compliant structural solution, which ensures being lightweight and small in size to be suitable for transportation to remote areas, provides an adequate wind-induced lateral load resistance and insulation against extremely cold temperatures, can be rapidly deployed to suit the short construction season, and uses affordable construction materials and systems. The proposed research will develop a climate-resilient solution using the "Modular Construction" technique, which is capable of producing a large number of components with higher quality, faster construction, and lower cost, along with producing less waste and carbon emissions in construction and transportation compared to conventional methods. The modular design will be tailored and optimized to fit the construction limitations in Northern Canada. The objectives of this research are to (1) perform proper climate hazard characterization for Northern Canada, (2) examine different structural systems and materials performance to resist severe climate, and (3) optimize the modular design to improve the climate resistance and its affordability. These objectives will be achieved by utilizing wind tunnel testing and high-fidelity computational fluid dynamics models to accurately quantify the wind impact on modular structures. Structural and thermal performances will be assessed for different structural systems and materials using experimental testing, cold chamber and finite element analysis. Finally, the modular design will be optimized to obtain the best performing alternatives that can simultaneously enhance the wind and thermal performances while reducing the cost. The novelty of the proposed program lies in its ability to accurately simulate the aerodynamic and structural performances of modular houses through experimentally validated numerical models and integrating these models with state-of-the-art optimization and AI-based regression techniques. The outcome of this research will not only improve the climate resiliency of the built environment in Northern Canada, but will also enable and encourage future research related to wind energy, modular structures, Indigenous housing, and multi-hazard risk. In addition, knowledge generated through this research will encourage investments in Northern Canada and will work to reduce many housing-related socioeconomic impacts on Indigenous people.
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Climate-resilient Modular Design for Indigenous Housing
  • 批准号:
    DGECR-2022-00508
  • 项目类别:
    Discovery Launch Supplement
  • 资助金额:
    $0.91万
  • 财政年份:
    2022
  • 负责人:
    Elshaer, Ahmed
  • 依托单位:
国内基金
海外基金
动态无线传感器网络弹性化容错组网技术与传输机制研究
  • 批准号:
    61001096
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2010
  • 负责人:
    化存卿
  • 依托单位: