Global sensitivity analysis in the identification of cohesive models using full-field kinematic data
Global sensitivity analysis in the identification of cohesive models using full-field kinematic data
复制标题
DOI：
10.1016/j.ijsolstr.2014.06.006
复制
发表时间：
2015-03-01
影响因子：
3.6
通讯作者：
Paulino, Glaucio H.
中科院分区：
文献类型：
--
作者：
Alfano, Marco;Lubineau, Gilles;Paulino, Glaucio H.
粘合剂粘合结构的失效通常与宏观裂纹前不可忽略的断裂过程区的形成同时发生。为此，使用内聚区模型（CZM）可以有效地进行损伤和断裂分析。 CZM 方法的关键在于精确确定牵引-分离关系。然而，它通常是通过使用校准程序结合实验数据（例如载荷位移或裂纹长度数据）与断裂的有限元模拟来凭经验确定的。由于图像处理方面的最新进展以及低成本 CCD 相机的出现，如今使用数字图像相关 (DIC) 等技术可以相对容易地获取整个断裂过程区域的表面位移。相关技术提供的丰富信息促进了结合有限元（FE）模拟和全场运动学数据的多功能逆参数识别程序的开发。本文的重点是评估这些方法在识别粘性带模型方面的有效性。特别是，该分析是在基于方差的全局敏感性分析的框架中开发的。通过计算所谓的索博尔敏感性指数来探索运动学数据对所寻求的内聚特性的敏感性。结果表明，全局敏感性分析可以帮助确定需要纳入识别过程的最有影响力的内聚参数。此外，研究表明，在时间和空间上进行适当的位移采样可以优化测量以用于识别目的。 (C) 2014 Elsevier Ltd. 保留所有权利。
Failure of adhesive bonded structures often occurs concurrent with the formation of a non-negligible fracture process zone in front of a macroscopic crack. For this reason, the analysis of damage and fracture is effectively carried out using the cohesive zone model (CZM). The crucial aspect of the CZM approach is the precise determination of the traction-separation relation. Yet it is usually determined empirically, by using calibration procedures combining experimental data, such as load-displacement or crack length data, with finite element simulation of fracture. Thanks to the recent progress in image processing, and the availability of low-cost CCD cameras, it is nowadays relatively easy to access surface displacements across the fracture process zone using for instance Digital Image Correlation (DIC). The rich information provided by correlation techniques prompted the development of versatile inverse parameter identification procedures combining finite element (FE) simulations and full field kinematic data. The focus of the present paper is to assess the effectiveness of these methods in the identification of cohesive zone models. In particular, the analysis is developed in the framework of the variance based global sensitivity analysis. The sensitivity of kinematic data to the sought cohesive properties is explored through the computation of the so-called Sobol sensitivity indexes. The results show that the global sensitivity analysis can help to ascertain the most influential cohesive parameters which need to be incorporated in the identification process. In addition, it is shown that suitable displacement sampling in time and space can lead to optimized measurements for identification purposes. (C) 2014 Elsevier Ltd. All rights reserved.