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Detailed study on yield, damage and failure of polymers and composites - modelling mechanical behaviour

Detailed study on yield, damage and failure of polymers and composites - modelling mechanical behaviour
聚合物和复合材料的屈服、损伤和失效的详细研究 - 模拟机械行为
批准号:
508522-2017
负责人:
Polak, Maria
金额:
$2.79万
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:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

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中文摘要
翻译
该提案针对建筑行业中使用的聚合物和聚合物复合材料的行为进行测试和分析建模。它包括对短期和长期绩效和失败的研究。长期性能,影响失效模式和时间,可能是最关键的问题,需要解决,以便安全地使用聚合物作为结构材料。在本研究中,聚乙烯(PE)和纤维增强聚合物(FRP)复合材料将被研究。聚乙烯的行为和破坏可以表现为随时间的应力应变响应、缓慢的裂纹扩展、蠕变破裂或屈服应力;这些都直接关系到材料的环境应力抗裂性能。典型的测试包括拉伸蠕变或拉伸应力-应变测试;然而,在这项工作中,我们计划将其扩展到压缩和剪切测试。PE经常在建筑中用作金属元件(例如桥梁电缆)的支撑,因此压缩和剪切性能很重要。同一类型PE的拉伸、压缩和剪切测试将提供独特的数据库,可用于合理的建模方法。开发这种模型也是本建议的一部分。纤维增强聚合物(FRP)复合材料在建筑行业中是一个很有前途的选择,需要解决腐蚀问题,材料的重量很重要,或者需要电磁惰性。我们建议通过数学建模来开发预测FRP复合材料强度的方法。玻璃钢利用热固性聚合物基体(聚酯、乙烯基),保护和粘合纤维(玻璃、碳、芳纶)。该研究将集中于基于聚合物基体中内含物和界面的数学模型来确定强度。该提案描述了一个为期三年的研究计划,以补充正在进行的研究(由帝国石油公司资助),研究PE在(微观结构)分子水平上的蠕变和破坏行为。拟议的研究项目是滑铁卢大学开展的一个更大的研究项目的一部分。
英文摘要
This proposal addresses testing and analytical modelling of the behaviour of polymers and polymer composites that are used in the construction industry. It includes studies on short-term and long-term performance and failure. Long-term performance, which influences failure mode and time, is likely the most critical issue that needs to be addressed in order to safely use polymers as structural materials. In this proposed research, polyethylene (PE) and fibre reinforced polymer (FRP) composites will be studied. Behaviour and failure of PE can be characterized by time-dependent stress-strain response, slow crack growth, creep rupture or yield stresses; all of which are directly related to its environmental stress crack resistance (ESCR). Typical testing involves tensile creep or tensile stress-strain testing; however, in this work we plan to extend this to compression and shear testing. PE is often utilized in construction as a support for metal elements (e.g for bridge cables) and thus compression and shear behaviour are important. Tensile, compression and shear testing of same types of PE will provide unique database that can be used for rational modelling methodologies. Development of such modelling is also part of this proposal.Fibre reinforced polymer (FRP) composites are a promising option in construction industry where the problems with corrosion need to be addressed, lightness of the material is important, or the electromagnetic inertness is required. We propose to develop methodologies for predicting strength of FRP composites through mathematical modelling. FRP utilize thermoset polymer matrices (polyester, vinylesther), which protect and bond fibres (glass, carbon, aramid). The study will concentrate on determination of strength based on mathematical model for inclusions and interfaces in the polymer matrix. This proposal describes a three-year research program, complementary to the on-going research (funded by Imperial Oil) on creep and failure behaviour of PE studied at the (microstructural) molecular level. The proposed research project is part of a larger research program carried out at the University of Waterloo.
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Detailed study on yield, damage and failure of polymers and composites - modelling mechanical behaviour
  • 批准号:
    508522-2017
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $2.79万
  • 财政年份:
    2018
  • 负责人:
    Polak, Maria
  • 依托单位:
Performance evaluation of structural concrete with innovative reinforcement solutions
  • 批准号:
    RGPIN-2015-04948
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.82万
  • 财政年份:
    2018
  • 负责人:
    Polak, Maria
  • 依托单位:
Performance evaluation of structural concrete with innovative reinforcement solutions
  • 批准号:
    RGPIN-2015-04948
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.82万
  • 财政年份:
    2017
  • 负责人:
    Polak, Maria
  • 依托单位:
Punching shear in reinforced concrete slabs supported on walls and long columns.
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  • 项目类别:
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  • 资助金额:
    $1.82万
  • 财政年份:
    2016
  • 负责人:
    Polak, Maria
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