Failure analysis of anisotropic materials using computational homogenised limit analysis

Nguyen, Phuong H.; Le, Canh V.

doi:10.1016/j.compstruc.2021.106646

Cited by 8 publications

(2 citation statements)

References 17 publications

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“…10,28 Tsai-Wu composite failure criteria is employed. 29 The CFRP inner and outer side panels, roof, and floor were initially designed with a uniform thickness of 4.8, 3.2, 3.2, and 2.4 mm, respectively, with the plies stacked in the sequence [0°/ 645°/90°] to attain a performance comparable to that of the original metallic body (Table 4).…”

Section: Design For Body Panelsmentioning

confidence: 99%

Variable-stiffness optimization of CFRP body panels for body-in-white

Wang

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part D:

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Body panels have a direct influence on the static and dynamic stiffness of the body-in-white. With the introduction of CFRP in automotive body, these panels have ushered in the potential of being designed with variable-stiffness. However, due to the inherent complexity of variable-stiffness design and the need to integrate all panels to account for their interaction on BIW, the related design issue has not been solved. This paper reports a design method to achieve the successive optimization of the thickness distribution and stacking sequence for body panels, as well as ensure basic manufacturing and blending requirements of design results. This method was applied to the virtual design of the roof, floor, outer and inner side panels of a body-in-white. Compared with original constant-stiffness CFRP components, a 16.4% weight reduction was attained, the torsional and bending stiffness, first-order torsional and bending frequencies were enhanced by 5.0%, 10.9%, 4.7%, and 7%, respectively.

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Section: Design For Body Panelsmentioning

confidence: 99%

Variable-stiffness optimization of CFRP body panels for body-in-white

Wang

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…Specifically, shell elements (CQUAD4, CTRIA3) and the PCOMPP property are applied, that is, the FEM of CFRP laminate is established using an equivalent single-layer method, 39 and the smooth transition of plies between different partitions can be achieved by assigning the integration points of elements. The two-dimensional orthotropic material model (MAT8) with Tsai–Wu failure criteria 40 was used.…”

Section: Application Examplementioning

confidence: 99%

Integrated design for the forming process and structural performance of variable-thickness laminates

Wang

2022

Proceedings of the Institution of Mechanical Engineers, Part L:

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The manufacturing process of composite laminated parts has a significant influence on the final performance, especially since the draping process can change the predefined fiber orientation at local sites. With the maturing of draping-process simulation technology, an integrated structure–process–performance design has become possible. This article reports a computational framework for the integrated design of the draping process and structural performance of variable-thickness (VT) laminates. The framework is a two-loop optimization workflow. Specifically, a genetic draping optimization method features the inner optimization loop to find the optimal draping strategy and obtain the resulting fiber orientations and manufacturing layout. Structural performance optimization outlines the outer optimization loop, where a parametric method for the physical configuration of VT laminates is proposed to evaluate the structural performance considering the draping strategy. The entire framework is demonstrated by an automotive B-pillar reinforcement. The benefits of incorporating the draping design versus no draping design are illustrated by comparing the corresponding design results. The comparison results show that the integrated design not only contributes to pretreating manufacturing defects but also allows the use of reoriented fiber directions caused by draping to improve the mechanical properties and engage the load bearing. It thus achieves a further weight reduction of 18.63%. This framework facilitates resource-friendly process design, comprehensive performance evaluation, and structurally efficient laminate design.

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