2006
DOI: 10.1016/j.compstruct.2006.06.036
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Improvement of bearing strength of laminated composites

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Cited by 61 publications
(35 citation statements)
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“…However, for FRPs such as carbon fibre reinforced plastics (CFRPs), riveting is not a material-appropriate design, due to their low bearing strength and high notch sensitivity [1,2]. Therefore, different attempts to reduce the notch sensitivity of composites are utilised; e.g., local thickening of the laminate [3], optimised laminate layup and stacking sequence [4,5], local inserts [6], z-pinning [4,7] and hybridisation with other materials [8][9][10].…”
Section: Introductionmentioning
confidence: 99%
“…However, for FRPs such as carbon fibre reinforced plastics (CFRPs), riveting is not a material-appropriate design, due to their low bearing strength and high notch sensitivity [1,2]. Therefore, different attempts to reduce the notch sensitivity of composites are utilised; e.g., local thickening of the laminate [3], optimised laminate layup and stacking sequence [4,5], local inserts [6], z-pinning [4,7] and hybridisation with other materials [8][9][10].…”
Section: Introductionmentioning
confidence: 99%
“…Fiber steering of composite tows was investigated as a means of achieving increased strength or stiffness by Tosh and Kelly [4,5]. Also noteworthy are more recent publications by Crosky et al [6] and Li et al [7]. Extensive research on flat plates with tow-steered layups can be found in [8,9].…”
Section: Introductionmentioning
confidence: 95%
“…However, as the number of control variables is usually relatively larger, the heuristic algorithms are more commonly used in the variable-stiffness composite optimization. The GA may be the most widely used heuristic algorithm in variable-stiffness composite optimization [43][44][45][46][47], and other methods are also involved, such as artificial immune algorithm [48] and evolutionary algorithm [49]. In engineering problems, the optimization objective functions are usually calculated by computational expensive simulations, which will lead to a low efficiency of optimization, especially when heuristic algorithms are used.…”
Section: Introductionmentioning
confidence: 99%