文献类型：期刊文献

英文题名：Simulation of Strain Sensing and Damage Detection Capabilities in Self-Sensing Materials Based on Phase Field Method Under Electro-Mechanical Coupling

作者：Han, Zhong[1,2]; Yan, Yabin[1,2,3]

机构：[1] Shanghai Key Laboratory for Intelligent Sensing and Detection Technology, East China University of Science and Technology, Shanghai, 200237, China; [2] Key Laboratory of Pressure Systems and Safety, Ministry of Education, School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, 200237, China; [3] Shanghai Collaborative Innovation Center for High-End Equipment Reliability, Shanghai, 200237, China

年份：2026

卷号：105

起止页码：1

外文期刊名：Springer Proceedings in Materials

收录：EI(收录号：20260820114885)

语种：英文

外文关键词：Crack propagation - Efficiency - Electromechanical coupling - Fracture - Intelligent materials - Phase interfaces - Phase transitions - Soft computing - Strain - Strategic materials - Structural health monitoring

摘要：In recent years, the field of smart materials has witnessed considerable advancements, particularly with the development of self-sensing materials that demonstrate sensitive electrical responses to mechanical strains, facilitating real-time structural health monitoring. These self-sensing materials are typically heterogeneous composites. As such, they require advanced numerical simulation methods to thoroughly analyze how microstructural characteristics influence macroscopic response. This paper presents a coupled electro-mechanical response simulation model based on the finite element fracture phase field method, which is tailored to augment the design and application of piezoelectric smart materials. The proposed model uses a unified phase field damage formulation that simplifies both crack propagation and debonding at the matrix-fiber interface. This allows the model to accurately capture deformation, damage, and the electrical response of the composite under strain. Finally, we employed this model to examine the effect of varying interface thicknesses on sensing efficiency. Our findings indicate that an increase in interface thickness moderately enhances the sensing efficiency for strain and damage detection. Furthermore, this model offers strategic guidance for tailoring the microstructure of self-sensing materials to optimize their sensing performance. ? The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.