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A Tensile Microstress Detection Method for Performance Degradation of Fiber Reinforced Composite Materials

A composite material and fiber-reinforced technology, which is applied in the analysis of materials, strength characteristics, and the use of stable tension/pressure to test the strength of materials, etc., can solve the problem of varying severity of defect damage, defect characteristic size dispersion, response analysis and life prediction The role of limited and other problems, to achieve the effect of rapid prediction and evaluation

Active Publication Date: 2022-05-31
HANGZHOU JIANTU TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, due to the variety of internal defects in the composite material structure, the characteristic size of the defects is dispersed, and the severity of the defect damage is different, tracking the specific position, shape and size of a single defect has a very limited effect on the overall behavioral response analysis and life prediction of the composite material structure.

Method used

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  • A Tensile Microstress Detection Method for Performance Degradation of Fiber Reinforced Composite Materials
  • A Tensile Microstress Detection Method for Performance Degradation of Fiber Reinforced Composite Materials
  • A Tensile Microstress Detection Method for Performance Degradation of Fiber Reinforced Composite Materials

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Embodiment

[0048] The tensile load includes a uniform tensile load and a concentrated tensile load.

[0049] The folds and corrugations created above are an elastic response and therefore require only a small tensile load on the structure

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Abstract

The invention discloses a tensile micro-stress detection method for performance degradation of fiber-reinforced composite materials. Deformation; the tensile load includes uniform tensile load and concentrated tensile load; 2) under the tensile load, detect whether there are wrinkles in the out-of-plane displacement of the composite material specimen, and correlate randomly according to the amplitude and density of the wrinkles. Normal Distribution Model Parameters z value, to obtain the distribution statistical information of the mechanical properties of the composite material specimen along the main direction of the fiber; 3) under the tensile load, detect whether there are ripples in the in-plane displacement of the composite material specimen perpendicular to the tensile direction, according to the amplitude of the ripples and The density is associated with the random normal distribution model parameter ζ value to obtain the distribution statistical information of the mechanical properties of the composite material specimen along the main direction of the fiber. The invention can quickly make effective prediction and evaluation on structural performance and service behavior.

Description

A tensile microstress detection method for the performance degradation of fiber-reinforced composite materials technical field [0001] The present invention relates to the field of detection methods for the performance degradation of fiber-reinforced composite materials. Background technique Fiber reinforced composite material structure has high specific strength, large specific modulus, corrosion resistance, and is not easy to produce fragments when damaged, etc. [0002] It has obvious advantages and is widely used in aerospace, automobile and ship, construction engineering, high-end sports equipment and other fields. It has good performance and light weight. It can improve the seismic performance while reducing its own weight. In the future, it will replace traditional metals such as steel more widely. Industrial materials, with broad development prospects. [0003] The processing technology of the fiber-reinforced composite material structure is relatively complicated...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N3/08G01N3/06
CPCG01N3/08G01N3/068G01N2203/0003G01N2203/0017G01N2203/0075G01N2203/0641G01N2203/0682
Inventor 马利韩九林
Owner HANGZHOU JIANTU TECH
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