2015
DOI: 10.1016/j.compstruct.2014.11.058
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Bilinear approximations to the mixed-mode I–II delamination cohesive law using an inverse method

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Cited by 44 publications
(3 citation statements)
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“…In this study, both of the load values on these two points were noted, hereafter mentioned as onset failure load (OFL) and ultimate failure load (UFL), to evaluate the load-carrying capability of the joints. The OFL was calculated by the bilinear approximation method, which is commonly used in numerical modelling to characterize the structural failure and proved to provide good fits to the experimental L-D curves [28,29]. An example is shown on representative DLS (a) and PT (b) L-D curves for mechanically fastened joints in Fig.…”
Section: Mechanical Testing and Evaluationmentioning
confidence: 99%
“…In this study, both of the load values on these two points were noted, hereafter mentioned as onset failure load (OFL) and ultimate failure load (UFL), to evaluate the load-carrying capability of the joints. The OFL was calculated by the bilinear approximation method, which is commonly used in numerical modelling to characterize the structural failure and proved to provide good fits to the experimental L-D curves [28,29]. An example is shown on representative DLS (a) and PT (b) L-D curves for mechanically fastened joints in Fig.…”
Section: Mechanical Testing and Evaluationmentioning
confidence: 99%
“… Comparison of critical energy release rates G Ic —( a ) and G IIc —( b ), and elastic modulus E 1 of unidirectional thermoset and thermoplastic based composites. Filled and hollow marks stands for thermoplastic and thermoset systems, respectively [ 7 , 16 , 121 , 122 , 123 , 124 , 125 , 126 , 127 , 128 , 129 , 130 ]. …”
Section: Figurementioning
confidence: 99%
“…Although these techniques require very high resolution equipment to capture the CTOD or FPZ, which can cost a lot of money and be difficult to implement in specimens tested in a controlled environmental. Another option is to use inverse methods for minimising the residual between experimental and numerical curves [ 44 , 63 , 64 , 65 , 66 ]. However, despite their simplicity, they are very time-consuming because it is necessary several virtual tests to evaluate different values of each parameter of the softening function .…”
Section: Introductionmentioning
confidence: 99%