{"title":"Triggering probability of self-healing mechanisms in microencapsulated self-healing composites","authors":"Haipeng Yin, Youtang Li, Hua Huang","doi":"10.1016/j.apm.2025.116101","DOIUrl":null,"url":null,"abstract":"<div><div>Cracking is one of the critical causes of material failure, and early damage management by implanting microcapsules in the matrix is practical. Existing studies have focused on the improvement of self-healing systems and preparation technology of microcapsules’, but have paid less attention to the issue of the probability of triggering the self-healing mechanism in microencapsulated self-healing composites (MSC), which in turn is a critical factor in improving the self-healing capability of the MSC. To improve the design capability of the MSC, a mathematical model affecting the intersection of a random single crack with microcapsules in a chaotic state is constructed based on the geometric probability theory. Further, the effects of a single factor on the intersection probability of a crack with microcapsules are studied. The results show that (1) the intersection mathematical probability of a randomly expanding single crack with a microcapsule is simultaneously affected by material shape, crack width, microcapsule volume fraction, and microcapsule diameter. (2) To improve the self-healing ability of the MSC, pay more attention to the mathematical expectation value of the cracks intersecting the microcapsules. (3) Under the conditions of ensuring the mechanical properties of the MSC and microcapsules, increasing the volume fraction and diameter of microcapsules can improve the self-healing efficiency of the MSC.</div></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":"145 ","pages":"Article 116101"},"PeriodicalIF":4.4000,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematical Modelling","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0307904X25001763","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Cracking is one of the critical causes of material failure, and early damage management by implanting microcapsules in the matrix is practical. Existing studies have focused on the improvement of self-healing systems and preparation technology of microcapsules’, but have paid less attention to the issue of the probability of triggering the self-healing mechanism in microencapsulated self-healing composites (MSC), which in turn is a critical factor in improving the self-healing capability of the MSC. To improve the design capability of the MSC, a mathematical model affecting the intersection of a random single crack with microcapsules in a chaotic state is constructed based on the geometric probability theory. Further, the effects of a single factor on the intersection probability of a crack with microcapsules are studied. The results show that (1) the intersection mathematical probability of a randomly expanding single crack with a microcapsule is simultaneously affected by material shape, crack width, microcapsule volume fraction, and microcapsule diameter. (2) To improve the self-healing ability of the MSC, pay more attention to the mathematical expectation value of the cracks intersecting the microcapsules. (3) Under the conditions of ensuring the mechanical properties of the MSC and microcapsules, increasing the volume fraction and diameter of microcapsules can improve the self-healing efficiency of the MSC.
期刊介绍:
Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged.
This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.
Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.