2021
DOI: 10.3390/ma14195771
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Effect of Hole Arrangement on Failure Mechanism of Multiple-Hole Fiber Metal Laminate under On-Axis and Off-Axis Loading

Abstract: Mechanical joints are commonly required in structures made of fiber metal laminate (FML), which pose a threat due to multi-site stress concentrations at rivet or bolt holes. Thus, for a reasonably designed FML joint, it is essential to characterize the failure mechanism of multiple-hole FML; however, little information about this has been found in open literature. In the present work, influences of hole arrangement and loading strategy (on-axis or off-axis) on the failure mechanism of multiple-hole FML were in… Show more

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Cited by 2 publications
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“…However, due to the anisotropic and brittle nature of materials in composites, bolt-induced stresses are redistributed differently, affecting the assumed limit states. In structures where composite components are bolted together [3][4][5], it is often necessary to introduce multi-start holes, it is necessary to perform parametric analysis of stresses taking into account multiple variations of hole configuration [6][7][8][9][10]. The importance of finite element mesh selection in modeling composites with stress concentrators is discussed in study [11], where models with different degrees of sampling are studied and the results of which model are closest to the experimental data are identified.…”
Section: Introductionmentioning
confidence: 99%
“…However, due to the anisotropic and brittle nature of materials in composites, bolt-induced stresses are redistributed differently, affecting the assumed limit states. In structures where composite components are bolted together [3][4][5], it is often necessary to introduce multi-start holes, it is necessary to perform parametric analysis of stresses taking into account multiple variations of hole configuration [6][7][8][9][10]. The importance of finite element mesh selection in modeling composites with stress concentrators is discussed in study [11], where models with different degrees of sampling are studied and the results of which model are closest to the experimental data are identified.…”
Section: Introductionmentioning
confidence: 99%