An adaptive phase-field model integrated with multi-patch isogeometric analysis and adaptive cycle jump scheme for thermo-electro-mechanical fatigue fracture in flexoelectric solids

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Haozhi Li , Tiantang Yu , Zhaowei Liu , Jia-Nan He , Leilei Chen
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引用次数: 0

Abstract

Predicting the thermal fatigue life of flexoelectric components is of great engineering significance. In this study, an effective adaptive phase-field model combined with the cycle jump scheme is proposed to simulate thermo-electro-mechanical fatigue fracture in flexoelectric solids. To provide C1 continuity due to the presence of strain gradients, the phase-field model is implemented in the multi-patch isogeometric analysis framework based on polynomial splines over hierarchical T-meshes (PHT-splines). Multiple PHT-spline patches are employed to exactly model the geometry of the complex structure. Nitsche’s method is used to couple two adjacent patches and ensure the continuity of field variables such as displacement, electric potential, temperature, and phase field at the coupling edges. In order to reduce computational burden, an adaptive refinement strategy is adopted using the phase field as the refinement indicator. Additionally, the adaptive cycle jump method is used to improve computational efficiency further. The accuracy, reliability, and robustness of the proposed method are validated through several fatigue fracture simulations.
结合多片等几何分析和自适应周期跳变方案的柔性电固体热电机械疲劳断裂自适应相场模型
预测柔性电气元件的热疲劳寿命具有重要的工程意义。本文提出了一种结合循环跳变方案的有效自适应相场模型来模拟柔性电固体的热电-机械疲劳断裂。由于应变梯度的存在,为了提供C1连续性,相场模型在基于分层t网格(pht样条)上的多项式样条的多块等距分析框架中实现。采用多个pht样条补丁来精确模拟复杂结构的几何形状。采用Nitsche方法对相邻的两个贴片进行耦合,并保证耦合边缘的位移、电势、温度、相场等场变量的连续性。为了减少计算量,采用相场作为改进指标的自适应改进策略。此外,采用自适应周期跳变方法进一步提高了计算效率。通过多次疲劳断裂仿真,验证了该方法的准确性、可靠性和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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