...
首页> 外文期刊>Computing and visualization in science >Numerical shape optimization to decrease failure probability of ceramic structures
【24h】

Numerical shape optimization to decrease failure probability of ceramic structures

机译:数值形状优化以降低陶瓷结构的失效概率

获取原文
获取原文并翻译 | 示例

摘要

Ceramic is a material frequently used in industry because of its favorable properties. Common approaches in shape optimization for ceramic structures aim to minimize the tensile stress acting on the component, as it is the main driver for failure. In contrast to this, we follow a more natural approach by minimizing the component's probability of failure under a given tensile load. Since the fundamental work of Weibull, the probabilistic description of the strength of ceramics is standard and has been widely applied. Here, for the first time, the resulting failure probabilities are used as objective functions in PDE constrained shape optimization. To minimize the probability of failure, we choose a gradient based method combined with a first discretize then optimize approach. For discretization finite elements are used. Using the Lagrangian formalism, the shape gradient via the adjoint equation is calculated at low computational cost. The implementation is verified by comparison of it with a finite difference method applied to a minimal 2d example. Furthermore, we construct shape flows towards an optimal / improved shape in the case of a simple beam and a bended joint.
机译:陶瓷由于其良好的性能而成为工业上经常使用的材料。陶瓷结构形状优化的常用方法旨在使作用在部件上的拉应力最小,因为它是导致失效的主要因素。与此相反,我们采用了一种更自然的方法,即在给定的拉伸载荷下将组件的故障概率降至最低。自从Weibull的基础工作以来,对陶瓷强度的概率描述是标准的,已得到广泛应用。在这里,首次将所得的故障概率用作PDE约束形状优化中的目标函数。为了最大程度地降低失败的可能性,我们选择了一种基于梯度的方法并结合了先离散化然后优化的方法。对于离散化,使用有限元。使用拉格朗日形式主义,可以以较低的计算成本计算通过伴随方程的形状梯度。通过与应用于最小2d示例的有限差分方法进行比较,验证了该实现。此外,在简单梁和弯曲接头的情况下,我们构建的形状流向最佳/改进形状。

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