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Wing cross veins: an efficient biomechanical strategy to mitigate fatigue failure of insect cuticle

Overview of attention for article published in Biomechanics and Modeling in Mechanobiology, June 2017
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  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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27 Mendeley
Title
Wing cross veins: an efficient biomechanical strategy to mitigate fatigue failure of insect cuticle
Published in
Biomechanics and Modeling in Mechanobiology, June 2017
DOI 10.1007/s10237-017-0930-6
Pubmed ID
Authors

H. Rajabi, P. Bazargan, A. Pourbabaei, Sh. Eshghi, A. Darvizeh, S. N. Gorb, D. Taylor, J.-H. Dirks

Abstract

Locust wings are able to sustain millions of cycles of mechanical loading during the lifetime of the insect. Previous studies have shown that cross veins play an important role in delaying crack propagation in the wings. Do cross veins thus also influence the fatigue behaviour of the wings? Since many important fatigue parameters are not experimentally accessible in a small biological sample, here we use the finite element (FE) method to address this question numerically. Our FE model combines a linear elastic material model, a direct cyclic approach and the Paris law and shows results which are in very good agreement with previously reported experimental data. The obtained results of our study show that cross veins indeed enhance the durability of the wings by temporarily stopping cracks. The cross veins further distribute the stress over a larger area and therefore minimize stress concentrations. In addition, our work indicates that locust hind wings have an endurance limit of about 40% of the ultimate tensile strength of the wing material, which is comparable to many engineering materials. The comparison of the results of the computational study with predictions of two most commonly used fatigue failure criteria further indicates that the Goodman criterion can be used to roughly predict the failure of the insect wing. The methodological framework presented in our study could provide a basis for future research on fatigue of insect cuticle and other biological composite structures.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 26%
Student > Bachelor 4 15%
Researcher 2 7%
Student > Master 2 7%
Lecturer 1 4%
Other 4 15%
Unknown 7 26%
Readers by discipline Count As %
Engineering 9 33%
Agricultural and Biological Sciences 4 15%
Unspecified 1 4%
Sports and Recreations 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 2 7%
Unknown 9 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 November 2017.
All research outputs
#13,718,294
of 23,849,058 outputs
Outputs from Biomechanics and Modeling in Mechanobiology
#201
of 486 outputs
Outputs of similar age
#156,795
of 318,786 outputs
Outputs of similar age from Biomechanics and Modeling in Mechanobiology
#5
of 13 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 486 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 54% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 318,786 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.