Precast concrete foundation system for residential construction

住宅建筑预制混凝土基础系统

基本信息

  • 批准号:
    335351-2005
  • 负责人:
  • 金额:
    $ 3.18万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Collaborative Research and Development Grants
  • 财政年份:
    2006
  • 资助国家:
    加拿大
  • 起止时间:
    2006-01-01 至 2007-12-31
  • 项目状态:
    已结题

项目摘要

The Canadian residential dwelling market is continuously increasing; in 2004 alone, new housing construction reached 233,431 units. Due to Canada's cold weather, the construction season is too short to meet the demand for new houses, extending the construction duration of these new residences. Longer construction duration results in higher construction costs, which are transferred to homeowners. The current "cast-in-place" construction practice for basement walls is expensive and takes a long time to construct. It's also unsafe: the fresh concrete does not allow for instant backfilling, forcing construction workers and passersby to walk around large open trenches for weeks. Current cast-in-place construction methods also carry significant gas emissions to the environment: it uses more concrete and requires a large number of trucks to deliver its components to the site during construction. Precast concrete basement walls foundations (PCF) offer an excellent alternative for the Canadian construction industry. PCF subdivides the basement walls of a house into panels for quick on-site assembly. The panels use high-performance concrete with insulation embedded within to form a continuous barrier against heat and moisture transfer. This feature makes basements warmer and drier, enhancing the indoor air-quality and living conditions for those who use the basement as a living space. Low heat transfer basement walls also reduce heating costs for homeowners and the homes are more energy-efficient. The research team is designing, engineering and developing a PCF system suitable for Canadian climate. This provides Canadian industry with a more economical approach to residential construction with shorter construction times, extended construction seasons and easier winter construction, while reducing greenhouse gas emissions. This research will industrialize residential construction, making a Canadian solution for Canadian residential construction.
加拿大住宅市场不断增长;仅在2004年,新建住房就达到233,431套。由于加拿大天气寒冷,施工季节太短,无法满足新房需求,延长了这些新住宅的施工工期。较长的施工时间导致更高的施工成本,这是转移到业主。目前地下室墙的“现浇”施工做法造价昂贵,施工时间长。也不安全:新浇的混凝土不允许立即凝固,迫使建筑工人和路人在大型露天壕沟周围行走数周。目前的现浇施工方法也会向环境排放大量气体:它使用更多的混凝土,并需要大量的卡车在施工期间将其部件运送到现场。预制混凝土地下室墙基础(PCF)为加拿大建筑业提供了一个很好的选择。PCF将房屋的地下室墙壁细分为面板,以便快速现场组装。这些面板使用高性能混凝土,内部嵌入绝缘材料,形成连续的屏障,防止热量和水分转移。这一特点使地下室更温暖,更干燥,提高了室内空气质量,为那些使用地下室作为生活空间的人提供了生活条件。低传热地下室墙壁也降低了房主的供暖成本,并且房屋更加节能。该研究团队正在设计,工程和开发适合加拿大气候的PCF系统。这为加拿大工业提供了一种更经济的住宅建设方法,缩短了施工时间,延长了施工季节,更容易进行冬季施工,同时减少了温室气体排放。本研究将使住宅建设产业化,为加拿大的住宅建设提供加拿大式的解决方案。

项目成果

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AlHussein, Mohamed其他文献

AlHussein, Mohamed的其他文献

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{{ truncateString('AlHussein, Mohamed', 18)}}的其他基金

Automation of Construction Operations through Modular and Offsite Technologies
通过模块化和场外技术实现施工作业自动化
  • 批准号:
    RGPIN-2018-06170
  • 财政年份:
    2022
  • 资助金额:
    $ 3.18万
  • 项目类别:
    Discovery Grants Program - Individual
Automation of Construction Operations through Modular and Offsite Technologies
通过模块化和场外技术实现施工作业自动化
  • 批准号:
    RGPIN-2018-06170
  • 财政年份:
    2021
  • 资助金额:
    $ 3.18万
  • 项目类别:
    Discovery Grants Program - Individual
Innovations in window manufacturing through implementation of automation and robotic technologies
通过自动化和机器人技术的实施实现窗户制造的创新
  • 批准号:
    533884-2018
  • 财政年份:
    2021
  • 资助金额:
    $ 3.18万
  • 项目类别:
    Collaborative Research and Development Grants
Automation of Construction Operations through Modular and Offsite Technologies
通过模块化和场外技术实现施工作业自动化
  • 批准号:
    RGPIN-2018-06170
  • 财政年份:
    2020
  • 资助金额:
    $ 3.18万
  • 项目类别:
    Discovery Grants Program - Individual
Innovations in window manufacturing through implementation of automation and robotic technologies
通过自动化和机器人技术的实施实现窗户制造的创新
  • 批准号:
    533884-2018
  • 财政年份:
    2020
  • 资助金额:
    $ 3.18万
  • 项目类别:
    Collaborative Research and Development Grants
NSERC Industrial Research Chair in the industrialization of building construction
NSERC 建筑工业化工业研究主席
  • 批准号:
    419145-2015
  • 财政年份:
    2020
  • 资助金额:
    $ 3.18万
  • 项目类别:
    Industrial Research Chairs
Modified sequencing in window manufacturing to promote physical distancing and mitigate the risk of COVID-19 infection among workers
修改窗户制造的顺序,以促进身体距离并降低工人感染 COVID-19 的风险
  • 批准号:
    554608-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 3.18万
  • 项目类别:
    Alliance Grants
Innovations in window manufacturing through implementation of automation and robotic technologies
通过自动化和机器人技术的实施实现窗户制造的创新
  • 批准号:
    533884-2018
  • 财政年份:
    2019
  • 资助金额:
    $ 3.18万
  • 项目类别:
    Collaborative Research and Development Grants
Application of smart factory concepts in panelized construction manufacturing
智能工厂理念在板式建筑制造中的应用
  • 批准号:
    516160-2017
  • 财政年份:
    2019
  • 资助金额:
    $ 3.18万
  • 项目类别:
    Collaborative Research and Development Grants
Productivity and ergonomic analysis for a panelized construction manufacturing facility
镶板建筑制造设施的生产率和人体工程学分析
  • 批准号:
    500814-2016
  • 财政年份:
    2019
  • 资助金额:
    $ 3.18万
  • 项目类别:
    Collaborative Research and Development Grants

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高性能纤维混凝土构件抗爆的强度预测
  • 批准号:
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  • 批准年份:
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  • 资助金额:
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STTR 第一阶段:开发具有仿生表面的创新超高性能混凝土基础系统,以支持可再生海上风力涡轮机
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Numerical Modelling for Fresh Concrete and Deep Foundation Construction
新拌混凝土和深基础施工的数值模拟
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Numerical modelling of Concrete Rheology in Deep Foundation Construction
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Ultimate Strength and Structural Health Monitoring of Reinforced Concrete Pile Foundation
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STUDY ON DEVELOPMENT OF PLANTING FOUNDATION USING OYSTER SHELL POROUS CONCRETE AND MOSS GREENING
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Precast concrete foundation system for residential construction
住宅建筑预制混凝土基础系统
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    335351-2005
  • 财政年份:
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  • 资助金额:
    $ 3.18万
  • 项目类别:
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Precast concrete foundation system for residential construction
住宅建筑预制混凝土基础系统
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    335351-2005
  • 财政年份:
    2008
  • 资助金额:
    $ 3.18万
  • 项目类别:
    Collaborative Research and Development Grants
Precast concrete foundation system for residential construction
住宅建筑预制混凝土基础系统
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    335351-2005
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  • 资助金额:
    $ 3.18万
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