首页> 外文期刊>International Journal for Numerical Methods in Engineering >A mesh objective method for modeling crack propagation using the smeared crack approach
【24h】

A mesh objective method for modeling crack propagation using the smeared crack approach

机译:一种使用涂抹裂纹方法建模裂纹传播的网状物物方法

获取原文
获取原文并翻译 | 示例
           

摘要

This paper presents a mesh objective method for modeling crack propagation in brittle materials using a conventional finite element formulation. The primary shortcoming of the smeared crack approach is its pathological sensitivity to the mesh orientation, which is manifested by shear locking and stress field misalignment around the crack tip. Such undesirable characteristics preclude the ability to model arbitrary crack propagation at an angle through the mesh. Several techniques are developed to address these shortcomings. First, to preclude shear locking, a modified failure constitutive model is developed, which projects out the spurious stress increments as the crack opens. If a crack exists in an element, a crack tracking algorithm is used to identify the neighboring elements most likely to show crack continuation. This algorithm also identifies a crossover element when a crack passes through adjacent sides of an element. Then, the characteristic element length used in the constitutive equation is changed with the objective of providing the correct failure energy per unit crack length, a procedure called crossover scaling. The examples provided demonstrate that the developed methods work collectively to provide a simple and efficient method for modeling failure in brittle materials without mesh bias.
机译:本文介绍了一种网眼物镜,用于使用常规有限元制剂在脆性材料中建模裂纹繁殖的网状物物方法。涂抹裂纹方法的主要缺点是其对网格取向的病理敏感性,其通过剪切锁定和裂缝尖端周围的应力场未对准而表现出。这种不希望的特性迫切地妨碍通过网格以一定角度模拟任意裂缝传播。开发了几种技术来解决这些缺点。首先,为了排除剪切锁定,开发了改进的故障本构模型,在裂缝打开时,将杂散应力增量突出。如果元素中存在裂缝,则使用裂缝跟踪算法来识别最有可能显示裂缝延续的相邻元素。当裂缝通过元件的相邻侧面时,该算法还识别交叉元件。然后,改变了本构方程中使用的特征元素长度,其目的是每单位裂缝长度提供正确的故障能量,称为交叉缩放的过程。所提供的示例表明,开发方法共同工作,以提供一种简单而有效的方法,用于在没有网状偏压的情况下为脆性材料进行建模失效。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号