Discrete crack path prediction by an adaptive cohesive crack model

Geißler, Gordon; Netzker, Christiane; Kaliske, Michael

doi:10.1016/j.engfracmech.2010.04.029

Cited by 32 publications

(17 citation statements)

References 20 publications

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“…Once an element is deleted, a local stress concentration is generated that results in fast propagation of failure through all surrounding elements. Using new approaches such as the extended finite element method [45][46], virtual crack closure technique (VCCT) and cohesive zone modelling [47][48]. It may be possible to model to perform crack propagation in adhesives more accurately.…”

Section: Resultsmentioning

confidence: 99%

Investigation of Fatigue Crack Propagation in Adhesively Bonded Joints Using Fatigue Testing, Finite Element Analysis and Neural Networks

Gaur¹,

Prasad²

2019

Applied Engineering Letters

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The current paper presents research aiming at characterizing the fatigue behaviour of adhesively bonded joints. In this study, a new mathematical model to predict fatigue crack propagation rates for adhesively bonded joints has been investigated and presented. The proposed method uses fatigue test data and stiffness data obtained from finite element model of bonded joints. T-peel and single lap shear bonded joints were prepared using aluminium alloy AA5754 and Betamate epoxy adhesive 4601. The fatigue tests were conducted using constant amplitude loading using an R ratio of 0.1 at a frequency of 10 Hz. The FE models used in this work were developed using fracture mechanics tools in Abaqus. The results were post processed to extract energy release rates in form of J Integrals and stress intensity factors. The stiffness results obtained from both experimental testing and numerical studies were combined using appropriate curve fitting models proposed in the literature to estimate the fatigue crack propagation rates and obtained the de-bond curves in the Paris regime for such joints. The crack growth rates were further modelled and validated using neural network technique in MATLAB. ARTICLE HISTORY

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Section: Resultsmentioning

confidence: 99%

Investigation of Fatigue Crack Propagation in Adhesively Bonded Joints Using Fatigue Testing, Finite Element Analysis and Neural Networks

Gaur¹,

Prasad²

2019

Applied Engineering Letters

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“…In addition, a suitable adaptive meshing procedure will be developed to simulate brittle failure [28]. The crack path can be determined more precisely by using a mesh modification as in [27],…”

Section: Resultsmentioning

confidence: 99%

“…The method is still under development. So far, it cannot be considered as an adaptive meshing as in [27,28], since the analysis is started again in every iteration step.…”

Section: Discussionmentioning

confidence: 99%

Finite element analysis of timber containing branches – An approach to model the grain course and the influence on the structural behaviour

Jenkel

Kaliske

2014

Engineering Structures

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“…Besides, the meshes of the laminated glass plate model are specially designed to somehow reduce the severe mesh bias introduced by using brick elements. Further works such as the adaptive remeshing method [69] are required to solve this problem. …”

Section: Discussionmentioning

confidence: 99%

A three-dimensional computational framework for impact fracture analysis of automotive laminated glass

Chen

Miao

2015

Computer Methods in Applied Mechanics and Engineering

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Discrete crack path prediction by an adaptive cohesive crack model

Cited by 32 publications

References 20 publications

Investigation of Fatigue Crack Propagation in Adhesively Bonded Joints Using Fatigue Testing, Finite Element Analysis and Neural Networks

Investigation of Fatigue Crack Propagation in Adhesively Bonded Joints Using Fatigue Testing, Finite Element Analysis and Neural Networks

Finite element analysis of timber containing branches – An approach to model the grain course and the influence on the structural behaviour

A three-dimensional computational framework for impact fracture analysis of automotive laminated glass

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