Identifying crack tip position and stress intensity factors from displacement data

Identifying crack tip position and stress intensity factors from displacement data
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DOI:
10.1007/s10704-023-00729-4
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发表时间:
2023-07
影响因子:
2.5
通讯作者:
Swati Gupta;G. West;Mark A. Wilson;S. Grutzik;D. Warner
Swati Gupta;G. West;Mark A. Wilson;S. Grutzik;D. Warner
中科院分区:
工程技术3区
文献类型:
--
作者:
Swati Gupta;G. West;Mark A. Wilson;S. Grutzik;D. Warner

文献摘要

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断裂预测和表征工作需要知道裂纹尖端位置和裂纹附近的应力强度因子(SIF)。在这里,我们提出了一个有效的数值方法来推断这两个特性下一个一致的理论框架,从嘈杂的,非结构化的位移数据。新的方法利用渐近线弹性断裂力学领域的可分性,加快搜索裂纹尖端位置,是特别有用的噪声位移数据。手稿开始时,准确定位裂纹尖端位置的重要性进行评估时,量化的应力强度因子从位移数据。其次,介绍了所提出的快速推断裂纹尖端位置的可分性方法。通过与目前广泛使用的位移相关法的比较,对分离法的性能进行了评价。涉及噪声数据和系统偏离渐近线弹性断裂力学模型的情况下,被认为是,例如,非弹性材料的行为和有限的几何形状。所提出的方法的一个开源Python实现可供那些进行现场和实验室工作的人使用,这些工作涉及数字图像相关和模拟,例如有限元,离散元,分子动力学和周波学,其中裂纹尖端位置没有明确定义。
Fracture prognosis and characterization efforts require knowledge of crack tip position and the Stress Intensity Factors (SIFs) acting in the vicinity of the crack. Here, we present an efficient numerical approach to infer both of these characteristics under a consistent theoretical framework from noisy, unstructured displacement data. The novel approach utilizes the separability of the asymptotic linear elastic fracture mechanics fields to expedite the search for crack tip position and is particularly useful for noisy displacement data. The manuscript begins with an assessment of the importance of accurately locating crack tip position when quantifying the SIFs from displacement data. Next, the proposed separability approach for quickly inferring crack tip position is introduced. Comparing to the widely used displacement correlation approach, the performance of the separability approach is assessed. Cases involving both noisy data and systematic deviation from the asymptotic linear elastic fracture mechanics model are considered, e.g. inelastic material behavior and finite geometries. An open source python implementation of the proposed approach is available for use by those doing field and laboratory work involving digital image correlation and simulations, e.g. finite element, discrete element, molecular dynamics and peridynamics, where the crack tip position is not explicitly defined.