2017
DOI: 10.3934/dcdss.2017079
|View full text |Cite
|
Sign up to set email alerts
|

An energy based formulation of a quasi-static interface damage model with a multilinear cohesive law

Abstract: A new quasi-static and energy based formulation of an interface damage model which provides interface traction-relative displacement laws like in traditional trilinear (with bilinear softening) or generally multilinear cohesive zone models frequently used by engineers is presented. This cohesive type response of the interface may represent the behaviour of a thin adhesive layer. The level of interface adhesion or damage is defined by several scalar variables suitably defined to obtain the required traction-rel… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
22
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
4
2

Relationship

1
5

Authors

Journals

citations
Cited by 15 publications
(22 citation statements)
references
References 38 publications
0
22
0
Order By: Relevance
“…We use the model to find solutions for various amplitudes and various maxima of the same load type applied to the domain shown in Fig. 3 (see also [6][7][8]). The model formulation is implemented in a MATLAB computer code.…”
Section: Numerical Resultsmentioning
confidence: 99%
See 4 more Smart Citations
“…We use the model to find solutions for various amplitudes and various maxima of the same load type applied to the domain shown in Fig. 3 (see also [6][7][8]). The model formulation is implemented in a MATLAB computer code.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…The data from Table 1 can be used to calculate the parameters of the crack-growth power law known for fatigue processes, see [22]. Linearised regression is used to obtain Δa/ ΔN = 2.71×10 8 , where the maximum of the applied force is used as the independent variable. The damage evolution in Fig.…”
Section: Numerical Resultsmentioning
confidence: 99%
See 3 more Smart Citations