课题基金 / 基金详情

Tensile characterization of Ultra-high performance fiber-reinforced concrete with digital images correlation

Tensile characterization of Ultra-high performance fiber-reinforced concrete with digital images correlation
超高性能纤维增强混凝土的拉伸表征与数字图像相关
批准号:
533897-2018
负责人:
Conciatori, David
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

项目摘要

项目成果

Conciatori, David的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Ultra-high performance fiber-reinforced concrete (UHPFRC) is an advanced cementitious composite that**exhibits superior mechanical properties compared to traditional or even high performance concrete (HPC).**Those mechanical properties, combined with an excellent durability, make UHPFRC a very interesting choice**for the rehabilitation of existing concrete structures as well as the development of slim and lightweight**concrete structures. Tensile characterization of UHPFRC is mostly made with the use of an indirect tensile test.**The results are then either directly used to classify the material according to the different standards or**post-processing is needed to convert the raw data into a coherent law. Some direct tensile tests (DTT) are**proposed for UHPFRC characterization. The use of direct tensile test allows the direct characterization of the**tensile law of the material without having to correct the data, which is needed with an indirect test. However,**the setup required to perform those tests are complex and, even in the best conditions, results vary largely from**different samples of the same material. This research project focuses on the development of a state-of-the-art**direct tensile test (DTT) for the tensile characterization of UHPFRC or any other fiber-reinforced cementitious**composites, such as the engineered cementitious composite (ECC) and the high-strength high-ductility**composites (HSHDC). The experimental setup will be mostly based on the latest DTT developed at the École**Polytechnique de Lausanne (EPFL). Digital images correlation will be used to capture the formation of micro**and macro cracks during the strain-hardening and strain-softening phases and will help enhance our**comprehension of this phenomenon.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Environmental and climatic risk of degradation of network structures
  • 批准号:
    RGPIN-2022-03156
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.89万
  • 财政年份:
    2022
  • 负责人:
    Conciatori, David
  • 依托单位:
The sensitivity of structures to climate and environmental actions
  • 批准号:
    RGPIN-2015-05863
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.68万
  • 财政年份:
    2021
  • 负责人:
    Conciatori, David
  • 依托单位:
Prédiction de l'initiation de la corrosion et de la durée de vie des chambres électriques souterraines en béton armé d'Hydro-Québec
  • 批准号:
    521772-2017
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $3.35万
  • 财政年份:
    2020
  • 负责人:
    Conciatori, David
  • 依托单位:
The sensitivity of structures to climate and environmental actions
  • 批准号:
    RGPIN-2015-05863
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.68万
  • 财政年份:
    2020
  • 负责人:
    Conciatori, David
  • 依托单位:
海外基金