An micro-level study on the cracking performance of encapsulation-based self-healing resin mineral composites under dynamic load based on XFEM

Abstract

Purpose

As an efficient self-healing intelligent material, the encapsulation-based self-healing resin mineral composite (SHC) has a broad application prospect.

Design/methodology/approach

Aiming at the cracking performance of SHC, the dynamic load condition is employed to replace the traditional static load condition, the initial damage of the material is considered and the triggered cracking process and influencing factors of SHC are analyzed based on the extended finite element method (XFEM). In addition, the mechanism of matrix cracking and microcapsule triggered cracking process is explained from the microscopic point of view, and the cracking performance conditions of SHC are studied. On this basis, the response surface regression analysis method is used to obtain a second-order polynomial model of the microcapsule crack initiation stress, the interface bonding strength and the matching relationship between elastic modulus. Therefore, the model could be used to predict the cracking performance parameters of the microcapsule.

Findings

The interfacial bonding strength has an essential effect on the triggered cracking of the microcapsule. In order to ensure that the microcapsule can be triggered cracking normally, the design strength should meet the following relationship, that is crack initiation stress of microcapsule wall < crack initiation stress of matrix < interface bonding strength. Moreover, the matching relationship between elastic modulus has a significant influence on the triggered cracking of the microcapsule.

Originality/value

The results provide a theoretical basis for further oriented designing of the cracking performance of microcapsules.

Citation

Huang, H., Fan, Y., Huang, H. and Guo, R. (2023), "An micro-level study on the cracking performance of encapsulation-based self-healing resin mineral composites under dynamic load based on XFEM", Multidiscipline Modeling in Materials and Structures, Vol. 19 No. 5, pp. 848-875. https://doi.org/10.1108/MMMS-01-2023-0010