2017
DOI: 10.1016/j.compositesa.2017.05.004
|View full text |Cite
|
Sign up to set email alerts
|

Influence of microbond test parameters on interfacial shear strength of fiber reinforced polymer-matrix composites

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
17
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
6
1

Relationship

2
5

Authors

Journals

citations
Cited by 25 publications
(17 citation statements)
references
References 22 publications
0
17
0
Order By: Relevance
“…Experimental pullout curves 12,29 can be used as basis to construct a cohesive traction–separation function that describes the shear behavior of the cohesive interface, as shown in Figure 2. The cohesive traction–separation constitutive relation is expressed in equation (1).…”
Section: A Modified Slm With a Cohesive Fiber/matrix Interfacementioning
confidence: 99%
See 3 more Smart Citations
“…Experimental pullout curves 12,29 can be used as basis to construct a cohesive traction–separation function that describes the shear behavior of the cohesive interface, as shown in Figure 2. The cohesive traction–separation constitutive relation is expressed in equation (1).…”
Section: A Modified Slm With a Cohesive Fiber/matrix Interfacementioning
confidence: 99%
“… where K 0 is the initial shear stiffness of the cohesive fiber/matrix interface, δ is the tangential displacement of the cohesive fiber/matrix interface.
Figure 2.Cohesive traction–separation model: (a) microdroplet pullout test, 29 (b) typical pullout force–displacement curve, 30 and (c) cohesive traction–separation constitutive relation.
…”
Section: A Modified Slm With a Cohesive Fiber/matrix Interfacementioning
confidence: 99%
See 2 more Smart Citations
“…The specific parameters of the theoretical model are listed in Table 4 . It should be pointed out that according to previous research [13], 3% is determined as the volume fraction of voids for all specimens in this research.…”
Section: Modellingmentioning
confidence: 99%