Mixed-Mode (I+II) propagation of Delamination Fatigue Cracks in Unidirectional Graphite/Epoxy Laminates.

Tanaka, Hiroshi; Tanaka, Keisuke; Tsuji, Tatsuya; Katoh, Hideo

doi:10.1299/kikaia.65.1676

Cited by 7 publications

(11 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The obtained scatter band is narrow compared to Paris-like plots in terms of . In fact, the range of the prediction interval in terms of G p is similar to the scatter in the material data, confirming that this parameter is capable of describing mixed-mode propagation rates for 0.42; 1 for the material tested in [27] also. As only pure Mode I data is available for the G I -controlled propagation, it is impossible to draw any conclusion on the transition value of the mode-mixity for the material tested in [27].…”

Section: Model Validationsupporting

confidence: 68%

See 1 more Smart Citation

A damage-based model for mixed-mode crack propagation in composite laminates

Glud

Carraro

Quaresimin

et al. 2018

Composites Part A: Applied Science and Manufacturing

View full text Add to dashboard Cite

A model for the off-axis crack propagation in laminated fibre reinforced polymer composites subjected to multiaxial fatigue loadings is presented. On the basis of several observations reported in the literature, the crack propagation phenomenon can be seen as the result of a series of micro-scale events occurring ahead of the crack tip within a process zone. The mixed mode loading condition defines the type of the micro-scale events which occur in the process zone and lead to fatigue crack propagation. Based on this evidence and by using a multiscale approach to determine the micro-scale stress fields in the matrix, two simple parameters are defined for predicting the crack growth rate through a Paris-like law. By extracting the proposed

show abstract

Section: Model Validationsupporting

confidence: 68%

“…In Figure 11 the CGR data for a carbon/epoxy laminate [27] are shown. Apart from the pure Mode I condition, all the mode-mixity values relate to the G p -controlled crack propagation.…”

Section: Model Validationmentioning

confidence: 99%

A damage-based model for mixed-mode crack propagation in composite laminates

Glud

Carraro

Quaresimin

et al. 2018

Composites Part A: Applied Science and Manufacturing

View full text Add to dashboard Cite

show abstract

“…This is also reflected by the fact that the b exponent for FGD in Eq. 17takes values of about 10 for several CFRP materials [4,3,45,46,47], while the Paris law exponents in alloys are about 5. Overall, the argument outlined above supports the application of semi-empirical laws that have the form of Eq.…”

Section: Self-similarity With Respect To D √ G and √ G Maxmentioning

confidence: 98%

“…The FDG data generated by Tanaka et al [45][46][47] for the carbon/epoxy system T800H/#3631 is considered as case study. This dataset comprises a full span of the mode-mixity range.…”

Section: Fdg Datasetmentioning

confidence: 99%

“…Section 3.1 summarises the principles of extreme machine learning for single-hidden-layer neural networks and the associated application to FDG via self-similarity principles. In Sections 3.2 and 3.3, FDG data published by Tanaka et al [45][46][47] are considered as a case study, outlining the merits of a SHLNN approach compared to the usage of a power-law of the Hartman-Schijve type [13].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modelling fatigue delamination growth in fibre-reinforced composites: Power-law equations or artificial neural networks?

Allegri

2018

Materials & Design

View full text Add to dashboard Cite

This paper discusses two alternative modelling approaches for describing fatigue delamination growth (FDG) in polymer-based fibre-reinforced composites, i.e. semi-empirical equations having a power-law form and artificial neural networks. Barenblatt's self-similarity principles are applied for identifying a suitable expression of the delamination driving force in terms of the square-rooted energy-release-rate range and the associated peak values. The general dependency of pre-factors and exponents of FDG power-laws on the stress-ratio and mode-mixity is discussed in detail. Single-hidden-layer neural networks (SHLNN) with the support of self-similarity principles are here proposed as an alternative to semi-empirical power laws for describing FDG in composites. A example application of SHLNN to mixed-mode and variable stressratio FDG is provided for the carbon/epoxy system T800H/#3631. The SHLNN predictions are compared to a semi-empirical fit based on a modified Hartman-Schijve power-law.

show abstract

A new semi-empirical law for variable stress-ratio and mixed-mode fatigue delamination growth

Allegri

Wisnom

2013

Composites Part A: Applied Science and Manufacturing

View full text Add to dashboard Cite

Mixed-Mode (I+II) propagation of Delamination Fatigue Cracks in Unidirectional Graphite/Epoxy Laminates.

Cited by 7 publications

References 0 publications

A damage-based model for mixed-mode crack propagation in composite laminates

A damage-based model for mixed-mode crack propagation in composite laminates

Modelling fatigue delamination growth in fibre-reinforced composites: Power-law equations or artificial neural networks?

A new semi-empirical law for variable stress-ratio and mixed-mode fatigue delamination growth

Contact Info

Product

Resources

About