A strain rate dependent cohesive zone element for mode I modeling of the fracture behavior of adhesives

Borges, Catarina S. P.; Nunes, P.D.P.; Akhavan‐Safar, A.; Marques, E.A.S.; Carbas, R.J.C.; Alfonso, L.; Silva, Lfm

doi:10.1177/1464420720904026

Cited by 20 publications

(21 citation statements)

References 32 publications

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“…The critical energy release rate in mode I, G Ic , showed an increase with the loading rate. 13 Table 4 gives information about the strain rate of tested DCB specimens that were considered in this research. The strain rate is designated by "r".…”

Section: Test Conditionsmentioning

confidence: 99%

“…Whilst geometrical and material parameters are effective, other factors such as the loading rate and computing method are influential as well. For instance, Borges et al 13 investigated the effects of loading rate on fracture energy. In their study, mode I tests were conducted with 0.2 mm/ min for DCB tests, an intermediate speed of 6Â10 3 mm/min, and an impact speed of 180Â10 3 mm/min.…”

Section: Introductionmentioning

confidence: 99%

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Fracture energy assessment of adhesives – Part I: Is G_IC an adhesive property? A neural network analysis

Akhavan‐Safar

Beygi

Delzendehrooy

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part L:

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Different joint types and geometries have been considered to measure the fracture toughness ( Gc) of adhesives. However, results show that, sometimes, the obtained Gc values for the same adhesives are not similar in different reports. Several factors including the joints geometry, material properties of the substrate, and also the test conditions influence the obtained results. This study is conducted to find a logical connection between these factors and to find their influences on the obtained mode I fracture toughness ( GIc) to understand which parameters are the most influential and which ones are less significant. To this aim, 115 values of different GIcalready reported in the literature were collected and examined regarding the geometrical and material parameters. To find the rational relationship between the effective parameters and the reported GIcvalues, a method based on the artificial neural network technique was employed. The results revealed that whilst the fracture energy of aluminum adhesive joints is more influenced by geometrical parameters including the joint type and substrate thickness, the steel adhesive joints are more sensitive to the adhesive properties and bondline thickness. With this study, it is possible to design an optimum test by minimizing the effects of variables that cause errors in obtaining fracture toughness and also to estimate GIc of adhesives by using the developed model. On the other hand, it is also possible to design real structures in which the fracture toughness of the adhesive reaches its maximum value.

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Section: Test Conditionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fracture energy assessment of adhesives – Part I: Is G_IC an adhesive property? A neural network analysis

Akhavan‐Safar

Beygi

Delzendehrooy

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part L:

Self Cite

View full text Add to dashboard Cite

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“…Borges et al. 32 developed a FE model for the mechanical behavior of adhesives and with the strain rate effect, in mode I. They considered two adhesives under three different loading conditions: quasi-static, intermediate speed, and impact.…”

Section: Introductionmentioning

confidence: 99%

“…Their experimental results showed a linear relationship between the penetration efficiency and the length-to-diameter ratio across the considered range of length to diameter ratios. Borges et al 32 developed a FE model for the mechanical behavior of adhesives and with the strain rate effect, in mode I. They considered two adhesives under three different loading conditions: quasi-static, intermediate speed, and impact.…”

Section: Introductionmentioning

confidence: 99%

Numerical model for composite patch repair of notched aluminum plates under impact loading

Çalışkan

Ekici

Bayazit

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part L:

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The damaged area for various structures can be effectively repaired using composite materials. With the effect of impact, damage can occur that cannot be clearly seen in the inner structure of a laminated composite. This can cause delamination and other damage modes in layered composite structures. In this study, three-dimensional dynamic progressive damage analysis was performed in adhesively bonded composite patch-repaired metal notched plates under impact loads to investigate the effect of external composite patch material and thickness. Three-dimensional Hashin damage models were used for the progressive damage model. A user-defined subroutine, VUMAT was written to transfer the damage models to finite element code. By writing a separate script in Python language that relates to the damage models, the weakness in the laminate of the composite patch was transferred to the finite element model with a different degradation model proposed. It was found that plastic deformations occurring after impact damage in the notched metal plates was prevented by the use of composite patches. While glass and carbon fiber exhibit similar behavior at lower impact velocities, the progress of damage is prevented by increasing patch thickness. These behaviors were confirmed by the numerical model and showed an advanced agreement with experimental results.

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“…Borges et al. 27 studied the fracture behavior of adhesives using strain rate dependent cohesive zone elements.…”

Section: Introductionmentioning

confidence: 99%

Drop-weight impact testing for the study of energy absorption in automobile crash boxes made of composite material

Hussain

Regalla

Rao

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part L:

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There is an ever-increasing demand in the automotive sector to continuously improve the performance and reduce cost through weight reduction in the structure of the vehicle. In the present scenario, it is also necessary to meet the standards set by crash safety regulating authorities in various parts of the world. In automobiles, the crash box is placed in the anterior region to absorb the impact energy in the event of an accident. Glass fiber reinforced plastic crash boxes have a high strength-to-weight ratio and also are good in energy absorption, particularly useful in this scenario. In this paper, the effectiveness of different triggers in combination with various geometries is investigated for Glass fiber reinforced plastic crash boxes using drop-weight impact testing. A trigger is a geometric irregularity introduced in the crash box design to alter the energy as well as force levels by modifying the deformation mode under loading. Comparison of change in force level, absorption of impact energy, specific energy absorption values was performed for composite crash boxes made of various types of cross-sectional geometries along with multiple patterns of triggers. Force versus displacement (F–D) curves are drawn for all the cases of the glass fiber reinforced plastic crash boxes to understand the behavior of each combination formed with various types of geometries and triggers, under impact loading. Strength-to-weight ratio was considered as the deciding factor for the comparisons to know the best and worst cases of the crash boxes made of different cross-sections along with various trigger types. This study provides detailed insights into the drop-weight impact testing procedure including the preparation of specimens, setting up the drop-weight impact test, preparation of specimen clamps, safety precautions involved, data acquisition from the test and its processing.

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A strain rate dependent cohesive zone element for mode I modeling of the fracture behavior of adhesives

Cited by 20 publications

References 32 publications

Fracture energy assessment of adhesives – Part I: Is G_IC an adhesive property? A neural network analysis

Fracture energy assessment of adhesives – Part I: Is G_IC an adhesive property? A neural network analysis

Numerical model for composite patch repair of notched aluminum plates under impact loading

Drop-weight impact testing for the study of energy absorption in automobile crash boxes made of composite material

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A strain rate dependent cohesive zone element for mode I modeling of the fracture behavior of adhesives

Cited by 20 publications

References 32 publications

Fracture energy assessment of adhesives – Part I: Is GIC an adhesive property? A neural network analysis

Fracture energy assessment of adhesives – Part I: Is GIC an adhesive property? A neural network analysis

Numerical model for composite patch repair of notched aluminum plates under impact loading

Drop-weight impact testing for the study of energy absorption in automobile crash boxes made of composite material

Contact Info

Product

Resources

About

Fracture energy assessment of adhesives – Part I: Is G_IC an adhesive property? A neural network analysis

Fracture energy assessment of adhesives – Part I: Is G_IC an adhesive property? A neural network analysis