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Prediction of Load Capacity Variation in FRP Bonded Concrete Specimens Using Brownian Motion

机译:用布朗运动预测FRP粘结混凝土试件的承载能力变化

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摘要

In wet lay-up process, dry fiber sheets are saturated with a polymer and applied to the concrete surface by hand. This causes relatively large variation in properties of the cured FRP composite material. It is hard to know the exact mechanical properties of the FRP constructed by wet lay-up process. In addition, the stiffness of FRP changes during debonding process due to different amount of concrete attached to the debonded FRP at different locations. It is also inevitable to have considerable variations in the strength of concrete. Therefore, the behaviour of FRP bonded concrete members varies among specimens even when the same materials are used. The variation of localized FRP stiffness and concrete strength can be combined in a single parameter as variation of the localized interfacial fracture energy. In an effort to effectively model the effects of the variation of interfacial fracture energy on the load versus deflection responses of FRP bonded concrete specimens subjected to Mode I and Mode II loading, a random white noise using a one-dimensional standard Brownian motion is added to the governing equations, yielding stochastic differential equations. By solving these stochastic equations, the bounds of load carrying capacity variation with 95% probability are found for different experimental tests.
机译:在湿法铺网过程中,干纤维片会被聚合物浸透,然后用手将其施加到混凝土表面。这导致固化的FRP复合材料的性能相对较大的变化。很难知道通过湿法铺层工艺构造的FRP的确切机械性能。此外,由于在不同位置附着在脱粘FRP上的混凝土量不同,FRP的刚度在脱粘过程中也会发生变化。混凝土强度的变化也不可避免。因此,即使使用相同的材​​料,FRP粘结混凝土构件的性能也会因试样而异。可以将局部FRP刚度和混凝土强度的变化合并为一个参数,作为局部界面断裂能的变化。为了有效地模拟界面断裂能的变化对FRP粘结混凝土试样在I型和II型载荷下的载荷与挠度响应的影响的模型,将使用一维标准布朗运动的随机白噪声添加到控制方程,产生随机微分方程。通过求解这些随机方程,可以发现不同实验测试的承载能力变化的边界具有95%的概率。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第4期|632912.1-632912.9|共9页
  • 作者单位

    Marquette Univ, Dept Civil Construct & Environm Engn, Milwaukee, WI 53201 USA.;

    Marquette Univ, Dept Civil Construct & Environm Engn, Milwaukee, WI 53201 USA.;

    Hong Kong Polytech Univ, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China.;

    Univ Wisconsin, Dept Math Sci, Milwaukee, WI 53201 USA.;

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