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Composite material laminate non-probability reliability double-level optimization method

A technology of composite material layer and optimization method, which is applied in the field of optimal design of composite material laminate structure, and can solve problems such as limited application

Active Publication Date: 2016-11-16
BEIHANG UNIV
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  • Application Information

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Problems solved by technology

[0004] At present, scholars and engineers at home and abroad focus on the uncertainty analysis and design of composite laminates mainly on the reliability analysis and optimal design of laminate structures based on probability and statistics theory. Strong dependence limits its application in engineering practice

Method used

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  • Composite material laminate non-probability reliability double-level optimization method
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  • Composite material laminate non-probability reliability double-level optimization method

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Embodiment

[0116] In order to understand more fully the characteristics of the invention and its applicability to engineering practice, the present invention aims at such as figure 2 In-plane tensile load N x and N y and the out-of-plane pressure P 0 The laminates are optimized based on reliability. Laminate layering method is [0 / 45 / -45 / 90] 4s . The in-plane dimension of the laminate is a×b=(20*12.5)cm 2 , the thickness of the single-layer board is 0.125mm, so the total thickness of the laminated board is 0.125mm×32=4mm. Table 1 gives the uncertainty information of the strength parameters of the rectangular plate structure in the example, and Table 2 gives the uncertainty information of the elastic parameters and external loads of the rectangular plate structure in the example.

[0117] Table 1

[0118]

[0119] Table 2

[0120]

[0121] This embodiment employs, reliability applications such as Figure 4 The strength reliability of the shown Tsai-Wu interval is obtained. ...

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Abstract

The invention discloses a composite material laminate non-probability reliability double-level optimization method. The method comprises: firstly, according to load-carrying characteristics of a composite material laminate, considering nondeterminacy effect of an intensity parameter of the composite material under condition of limited samples, based on a non-probability reliability theory, establishing a composite material laminate non-probability reliability evaluation model; in optimization of a first ply, using a simulated annealing method to optimize the composite material laminate, with thickness as a variable, and intensity reliability and rigid reliability as constraint; in optimization of a second ply, considering process constraint using stacking sequence as a variable, and optimizing with maximum intensity as target, through establishing a stacking scheme library which satisfies process requirements, using a genetic algorithm to optimize the stacking sequence of the laminate. The method ensures the composite material laminate has relatively high reliability and relatively low weight under nondeterminacy conditions, and meanwhile the method satisfies engineering actual technology level, and gives consideration to safety and economical efficiency.

Description

technical field [0001] The present invention relates to the technical field of optimal design of composite laminated board structures, in particular to a non-probabilistic reliability double-level optimization method for composite laminated boards, which considers the non-probabilistic reliability optimization design problem under the condition of uncertain fiber strength, Under a certain reliability requirement, the thickness of the laminated plate is considered for the double-level reliability optimization design of the process constraints. Background technique [0002] Composite materials are materials with new properties composed of two or more different materials using physical and chemical methods on a macro scale. Generally, the performance of composite materials is better than that of its component materials, and some properties are the same as those of the original components. What the material does not have, the composite material improves the mechanical properties...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/367G06F2113/24
Inventor 邱志平李晓王晓军王磊吕峥陈潇
Owner BEIHANG UNIV
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