Multi-scale analysis method for strength of three-dimensional four-way woven composite material under double random condition
A multi-scale analysis, three-dimensional and four-directional technology, applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve accurate stress-strain curves and strength values, and accurate results
Inactive Publication Date: 2019-12-10
BEIHANG UNIV
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At present, the research only considers the influence of single factors such as fiber position and fiber strength on the mechanical properties of unidirectional reinforced fiber composites, and has not comprehensively considered the influence of various random factors on the tensile properties of composite structures.
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[0017] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0018] Such as figure 1 As shown, the Weibull distribution that the filament obeys, the figure contains the strength probability density, the cumulative failure probability, and the average strength. The two solid curves in this figure are the probability density and probability distribution function of the Weibull distribution, respectively, and the dashed line is the average intensity. Corresponding to f(σ,λ,k), F(σ;λ;k) and σ respectively av .
[0019] Such as figure 2 As shown, the present invention relates to a multi-scale analysis method for the strength of a three-dimensional four-way braided composite material under double random conditions, and is used to predict the strength of a three-dimensional four-way braided ceramic matrix composite material when it is stretched in one direction. The specific implementation is as follows:
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Abstract
The invention discloses a multi-scale analysis method for the strength of a three-dimensional four-way woven composite material under a double random condition. The method comprises the following steps: (1) establishing a fiber bundle (small composite material) finite element model in which the strength of fibers containing the fibers and a matrix complies with Weibull distribution based on probability random distribution of the strength of the fibers and random distribution of positions; (2) establishing a three-dimensional four-way braided RVE finite element model of fiber bundle strength probability distribution based on a mesoscopic spatial geometrical relationship of the three-dimensional four-way braided composite material; (3) based on the dispersity of the local material of the component, establishing a standard test piece finite element model of which the grid unit material is randomized and conforms to the test standard; the relative error between the calculation result of the tensile strength of the obtained three-dimensional four-way braided ceramic matrix composite standard part and the test result is within 3%.
Description
technical field [0001] The invention relates to a multi-scale determination method for the strength of a three-dimensional four-direction braided composite material under double random conditions, which is used to predict the strength of a three-dimensional four-direction braided ceramic matrix composite material when it is stretched in one direction, and belongs to the field of aero-engines. Background technique [0002] Compared with high-temperature alloys, the three-dimensional four-way braided SiC / SiC ceramic matrix composite has a nearly 20% increase in temperature resistance and a decrease in density by about 2 / 3. It can maintain high strength without cooling at high temperatures, and can grow at 1600 ° C time use. Three-dimensional four-way braided SiC / SiC ceramic matrix composites are applied to the hot end parts of aero-engines, which can directly reduce the weight by about 60%. Therefore, the three-dimensional four-way braided SiC / SiC ceramic matrix composite mat...
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IPC IPC(8): G06F17/50
Inventor 胡殿印王荣桥韩江博刘茜杨尧
Owner BEIHANG UNIV