Hanna, John and Elamin, Ahmed ORCID: https://orcid.org/0000-0003-0783-5185 (2023) Computational fracture modeling for effects of healed crack length and interfacial cohesive properties in self-healing concrete using XFEM and cohesive surface technique. Computation, 11 (7):142. pp. 1-18. ISSN 2079-3197 (Online) (doi:10.3390/computation11070142)

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Abstract

Healing patterns are a critical issue that influence the fracture mechanism of self-healing concrete (SHC) structures. Partial healing cracks could happen even during the normal operating conditions of the structure, such as sustainable applied loads or quick crack spreading. In this paper, the effects of two main factors that control healing patterns, the healed crack length and the interfacial cohesive properties between the solidified healing agent and the cracked surfaces on the load carrying capacity and the fracture mechanism of healed SHC samples, are computationally investigated. The proposed computational modeling framework is based on the extended finite element method (XFEM) and cohesive surface (CS) technique to model the fracture and debonding mechanism of 2D healed SHC samples under a uniaxial tensile test. The interfacial cohesive properties and the healed crack length have significant effects on the load carrying capacity, the crack initiation, the propagation, and the debonding potential of the solidified healing agent from the concrete matrix. The higher their values, the higher the load carrying capacity. The solidified healing agent will be debonded from the concrete matrix when the interfacial cohesive properties are less than 25% of the fracture properties of the solidified healing agent.

Item Type:	Article
Additional Information:	This article belongs to the Special Issue Application of Finite Element Methods.
Uncontrolled Keywords:	self-healing concrete; healing patterns; interfacial cohesive properties; healed crack length; computational fracture modeling; XFEM; cohesive surface technique
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General)
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Engineering (ENG)
Last Modified:	17 Jul 2023 11:45
URI:	http://gala.gre.ac.uk/id/eprint/43184

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