2020
DOI: 10.1007/s00158-019-02462-w
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Optimal orientation of fibre composites for strength based on Hashin’s criteria optimality conditions

Abstract: The Hashin's strength criteria are usually employed in first ply failure and damage-onset analysis of fibre-reinforced composites. This work presents optimality conditions of local material orientations for these criteria, in terms of principal stresses and material strength parameters. Each criterion (matrix tensile/compressive, fibre tensile/compressive modes) has its conditions separately derived, analytically, based on a fixed stress field assumption. The conditions found show that orientations which coinc… Show more

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Cited by 19 publications
(4 citation statements)
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“…Therefore, the failure criterion for quasi-static analysis can be used in dynamic impact analysis. In this paper, the 3D Hashin criterion is used as the failure criterion [26][27][28][29]. The corresponding failure mode is as follows:…”
Section: Intralaminar Damagementioning
confidence: 99%
“…Therefore, the failure criterion for quasi-static analysis can be used in dynamic impact analysis. In this paper, the 3D Hashin criterion is used as the failure criterion [26][27][28][29]. The corresponding failure mode is as follows:…”
Section: Intralaminar Damagementioning
confidence: 99%
“…However, the presence of stress concentrators in laminates leads to the appearance of gradient stress fields, which significantly reduces the efficiency of the laminates. To improve stiffness and strength of laminates, curved reinforcement is used [1][2][3][4][5][6][7]. Due to variable fiber orientations in the laminate layer, it is possible to locally vary the stiffness of the layer and adapt it to stresses.…”
Section: Introductionmentioning
confidence: 99%
“…Structural optimization is commonly used in various fields, such as: fiber composites [4], printable structures [5], car body [6], adaptive structures [7], and especially with integration with FEM [8]. Structural optimization, in correlation with optimization variables, can be divided into topology optimization [9], shape optimization [10] and size optimization [11].…”
Section: Introductionmentioning
confidence: 99%