Self-regeneration is a fundamental property of biological materials, leading to enhanced mechanical strength and tough nessif subjected to stress and fatigue. Numerou sefforts have been devoted to emulate this property and various self-healing materials have been designed with the aim of a practical adoption in construction and mechanical engineering.To achieve this, it is important to understand how damage evolution and fracture propagation are modified by self-healing and to evaluate how mechanical behaviour is affected before failure. In this paper,we implement for the first time a self healing procedure in the random fuse model, who secharacteristic scaling properties have been widely studied in the literature on damage evolution modelling. We identify some characteristic signatures of self-healing, showing that it candelay the failure of a material undergoing loading, but it also lead to a hard-to-predict, more catastrophic breakdown.

Random Fuse Model in the Presence of Self-Healing / Costagliola, Gianluca; Bosia, Federico; Pugno, Nicola M. - In: NEW JOURNAL OF PHYSICS. - ISSN 1367-2630. - 2020, 22:3(2020), p. 033005. [10.1088/1367-2630/ab713f]

Random Fuse Model in the Presence of Self-Healing

Pugno, Nicola M
2020-01-01

Abstract

Self-regeneration is a fundamental property of biological materials, leading to enhanced mechanical strength and tough nessif subjected to stress and fatigue. Numerou sefforts have been devoted to emulate this property and various self-healing materials have been designed with the aim of a practical adoption in construction and mechanical engineering.To achieve this, it is important to understand how damage evolution and fracture propagation are modified by self-healing and to evaluate how mechanical behaviour is affected before failure. In this paper,we implement for the first time a self healing procedure in the random fuse model, who secharacteristic scaling properties have been widely studied in the literature on damage evolution modelling. We identify some characteristic signatures of self-healing, showing that it candelay the failure of a material undergoing loading, but it also lead to a hard-to-predict, more catastrophic breakdown.
2020
3
Costagliola, Gianluca; Bosia, Federico; Pugno, Nicola M
Random Fuse Model in the Presence of Self-Healing / Costagliola, Gianluca; Bosia, Federico; Pugno, Nicola M. - In: NEW JOURNAL OF PHYSICS. - ISSN 1367-2630. - 2020, 22:3(2020), p. 033005. [10.1088/1367-2630/ab713f]
File in questo prodotto:
File Dimensione Formato  
455-NJP20-Random-fuse-model-self-healing.pdf

accesso aperto

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Creative commons
Dimensione 1.29 MB
Formato Adobe PDF
1.29 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/255706
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 2
  • OpenAlex ND
social impact