Computational Modelling for the Effects of Capsular Clustering on Fracture of Encapsulation-Based Self-Healing Concrete Using XFEM and Cohesive Surface Technique
The fracture of microcapsules is an important issue to release the healing agent for healing the cracks in encapsulation-based self-healing concrete. The capsular clustering generated from the concrete mixing process is considered one of the critical factors in the fracture mechanism. Since there is...
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MDPI AG
2022-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/10/5112 |
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| author | John Hanna |
| author_facet | John Hanna |
| author_sort | John Hanna |
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| description | The fracture of microcapsules is an important issue to release the healing agent for healing the cracks in encapsulation-based self-healing concrete. The capsular clustering generated from the concrete mixing process is considered one of the critical factors in the fracture mechanism. Since there is a lack of studies in the literature regarding this issue, the design of self-healing concrete cannot be made without an appropriate modelling strategy. In this paper, the effects of microcapsule size and clustering on the fractured microcapsules are studied computationally. A simple 2D computational modelling approach is developed based on the eXtended Finite Element Method (XFEM) and cohesive surface technique. The proposed model shows that the microcapsule size and clustering have significant roles in governing the load-carrying capacity and the crack propagation pattern and determines whether the microcapsule will be fractured or debonded from the concrete matrix. The higher the microcapsule circumferential contact length, the higher the load-carrying capacity. When it is lower than 25% of the microcapsule circumference, it will result in a greater possibility for the debonding of the microcapsule from the concrete. The greater the core/shell ratio (smaller shell thickness), the greater the likelihood of microcapsules being fractured. |
| first_indexed | 2024-03-10T03:23:08Z |
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| id | doaj.art-26946cf56b334eac92e678e18eadaee1 |
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| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T03:23:08Z |
| publishDate | 2022-05-01 |
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| spelling | doaj.art-26946cf56b334eac92e678e18eadaee12023-11-23T09:57:52ZengMDPI AGApplied Sciences2076-34172022-05-011210511210.3390/app12105112Computational Modelling for the Effects of Capsular Clustering on Fracture of Encapsulation-Based Self-Healing Concrete Using XFEM and Cohesive Surface TechniqueJohn Hanna0Institute of Structural Mechanics, Bauhaus University Weimar, 99423 Weimar, GermanyThe fracture of microcapsules is an important issue to release the healing agent for healing the cracks in encapsulation-based self-healing concrete. The capsular clustering generated from the concrete mixing process is considered one of the critical factors in the fracture mechanism. Since there is a lack of studies in the literature regarding this issue, the design of self-healing concrete cannot be made without an appropriate modelling strategy. In this paper, the effects of microcapsule size and clustering on the fractured microcapsules are studied computationally. A simple 2D computational modelling approach is developed based on the eXtended Finite Element Method (XFEM) and cohesive surface technique. The proposed model shows that the microcapsule size and clustering have significant roles in governing the load-carrying capacity and the crack propagation pattern and determines whether the microcapsule will be fractured or debonded from the concrete matrix. The higher the microcapsule circumferential contact length, the higher the load-carrying capacity. When it is lower than 25% of the microcapsule circumference, it will result in a greater possibility for the debonding of the microcapsule from the concrete. The greater the core/shell ratio (smaller shell thickness), the greater the likelihood of microcapsules being fractured.https://www.mdpi.com/2076-3417/12/10/5112self-healing concretemicrocapsulecapsular clusteringcircumferential contact lengthcore/shell thickness ratioXFEM |
| spellingShingle | John Hanna Computational Modelling for the Effects of Capsular Clustering on Fracture of Encapsulation-Based Self-Healing Concrete Using XFEM and Cohesive Surface Technique Applied Sciences self-healing concrete microcapsule capsular clustering circumferential contact length core/shell thickness ratio XFEM |
| title | Computational Modelling for the Effects of Capsular Clustering on Fracture of Encapsulation-Based Self-Healing Concrete Using XFEM and Cohesive Surface Technique |
| title_full | Computational Modelling for the Effects of Capsular Clustering on Fracture of Encapsulation-Based Self-Healing Concrete Using XFEM and Cohesive Surface Technique |
| title_fullStr | Computational Modelling for the Effects of Capsular Clustering on Fracture of Encapsulation-Based Self-Healing Concrete Using XFEM and Cohesive Surface Technique |
| title_full_unstemmed | Computational Modelling for the Effects of Capsular Clustering on Fracture of Encapsulation-Based Self-Healing Concrete Using XFEM and Cohesive Surface Technique |
| title_short | Computational Modelling for the Effects of Capsular Clustering on Fracture of Encapsulation-Based Self-Healing Concrete Using XFEM and Cohesive Surface Technique |
| title_sort | computational modelling for the effects of capsular clustering on fracture of encapsulation based self healing concrete using xfem and cohesive surface technique |
| topic | self-healing concrete microcapsule capsular clustering circumferential contact length core/shell thickness ratio XFEM |
| url | https://www.mdpi.com/2076-3417/12/10/5112 |
| work_keys_str_mv | AT johnhanna computationalmodellingfortheeffectsofcapsularclusteringonfractureofencapsulationbasedselfhealingconcreteusingxfemandcohesivesurfacetechnique |