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An Inverse Problem Formulation for the Identification of Fracture Energy of Quasi-brittle Materials

机译:准脆性材料断裂能识别的反问题公式

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Studying the performance of concrete and in particular its fracture properties is necessary for assessing the integrity of existing structures. Concrete fracture mechanics parameters are also needed in order to model concrete structures subjected to extreme loading such as earthquakes. The main objective of this paper is to develop a new methodology for the identification of fracture parameters using Digital Image Correlation (DIC) for measuring crack extension. Experimental results from the wedge splitting tests (WST) are used as reference where the crack mouth opening displacement (CMOD) is measured by clip-on-gauge. These results are subsequently compared to the data obtained from the Digital Image Correlation using the ARAMIS system. The identification of the fracture properties is carried out by solving an inverse problem. The associated forward problem is based on the cracked hinge model capable of taking into account the softening phenomenon. This approach approximates the behaviour of WST and allows an analytical solution. The results of inverse identification are confirmed using the finite element analysis (FEA) along with the obtained fracture energy.
机译:研究混凝土的性能,尤其是其断裂性能对于评估现有结构的完整性是必要的。还需要混凝土断裂力学参数,以便对承受地震等极端载荷的混凝土结构进行建模。本文的主要目的是开发一种新的方法,该方法使用数字图像相关性(DIC)来测量裂纹扩展,从而确定断裂参数。楔形劈裂试验(WST)的实验结果用作参考,其中通过夹钳式测量裂纹口张开位移(CMOD)。随后将这些结果与使用ARAMIS系统从“数字图像关联”获得的数据进行比较。断裂特性的识别是通过解决反问题来进行的。相关的前向问题基于能够考虑软化现象的破裂铰链模型。这种方法近似WST的行为,并提供了一种分析解决方案。使用有限元分析(FEA)以及获得的压裂能量可以确认反识别的结果。

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