Mixed composite material layering method considering multi-scale uncertainty
A technology of composite materials and uncertainty, applied in the direction of neural learning methods, biological neural network models, instruments, etc., can solve the complex and cumbersome design process of hybrid composite materials and other problems
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[0054] Below in conjunction with accompanying drawing and embodiment the present invention will be further described, but protection scope of the present invention is not limited thereto, and method of the present invention specifically comprises the following steps, as image 3 and Figure 4 Shown:
[0055] 1. Determine the basic information of the hybrid composite material to be analyzed: the boundary condition is a nine-layer hybrid composite material simply supported on four sides, the length L=0.508m, the width W=0.406m, and the thickness of each layer is ΔT=0.125mm. The largest overall cost parameter C=9.5USD, the minimum failure probability is Among them, the reliability parameter P f The relationship with the failure parameter FI is: P f =P[1-FI≤0], P is the distributed force on the hybrid composite. Select three candidate materials: material Ⅰ, material Ⅱ, and material Ⅲ. In subsequent calculations, "1" will be used to represent material Ⅰ, "2" will represent mat...
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