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A Proposed New Method for Roughness Quantification of Concrete Joints and Cracks

机译:一种新的混凝土接缝和裂缝粗糙度定量方法

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The characteristics of concrete joint roughness and crack width are of paramount importance when studying the shear behavior of joints and cracks. These characteristics play a fundamental role in determining the contribution of each of the three shear mechanism; namely friction, shearing through and the dilation components in the overall shear strength at the crack or joint interface. However, in almost all prior studies of shear transfer across joints and cracks, no attempt was made to accurately quantify the roughness of concrete joint or crack surface. In the past, substantial levels of empiricism were used to model and predict shear behavior along discontinuities. This empiricism can be attributed mainly to the lack of an accurate measure for quantifying roughness. A new method that captures all critical characteristics of joint roughness is proposed. The new method is based on the logical assumption that an accurate description of roughness should reflect the following three important aspects of roughness: the irregularity of the surface, the amplitude of different roughness features, and the frequency of occurrence of roughness features with different amplitudes. Based on laboratory testing, the proposed method was found to capture all three aspects of a rough surface successfully. It is proposed that the surface roughness should be described using the form RI(D, k;, h;), where RI will be called the Roughness Index, D is the fractal dimension, k_l is the Korcak Number, and h_l is the Hurst Number with the subscript l indicating the stride length. These parameters are described in detail in this paper.
机译:当研究接缝和裂缝的剪切行为时,混凝土接缝粗糙度和裂缝宽度的特性至关重要。这些特性在确定三个剪切机制中的每一个的贡献方面起着根本性的作用。即在裂纹或接缝界面处的总剪切强度中的摩擦力,剪切力和膨胀成分。但是,在几乎所有先前的关于跨接缝和裂缝的剪切传递的研究中,都没有尝试准确量化混凝土接缝或裂缝表面的粗糙度。过去,大量的经验主义被用来建模和预测沿不连续面的剪切行为。这种经验主义可以主要归因于缺乏用于量化粗糙度的精确度量。提出了一种捕获接头粗糙度所有关键特征的新方法。新方法基于逻辑假设,即对粗糙度的准确描述应反映粗糙度的以下三个重要方面:表面的不规则性,不同粗糙度特征的幅度以及具有不同幅度的粗糙度特征的出现频率。在实验室测试的基础上,发现该方法可以成功捕获粗糙表面的所有三个方面。建议使用RI(D,k ;, h;)形式描述表面粗糙度,其中RI称为粗糙度指数,D是分形维数,k_1是Korcak数,h_1是赫斯特带下标l的数字表示步幅。这些参数将在本文中详细描述。

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