Method for detecting global sensitivity of mechanical property of aluminum-carbon fiber composite material joint

Abstract

An aluminum-carbon fiber composite material joint mechanical property global sensitivity detection method comprises the following steps: according to uncertainty of material parameters, geometric parameters and assembly parameters of a to-be-detected object, carrying out statistics to obtain the distribution condition of each parameter and establishing a mixed joint model based on material failure; generating a data set containing each parameter and corresponding mechanical property response; then, adopting a global sensitivity analysis strategy based on chaotic polynomial expansion and Sobol decomposition to obtain a Sobol sensitivity index based on a chaotic polynomial, and quantifying the relative contributions of different joint parameters to different mechanical properties, so that key parameters influencing the random mechanical properties are determined. According to the method, the influence of material, geometry and assembly uncertainty is fully considered, the Sobol sensitivity index based on chaotic polynomial expansion is introduced into joint detection, and key parameters influencing mechanical performance response are identified through the sensitivity index, so that the joint design efficiency is improved.

Description

technical field [0001] The invention relates to a technology in the field of material mechanics detection, in particular to a detection method for the sensitivity of mechanical properties of lap joints of aluminum-carbon fiber composite materials (adhesive / riveting) in consideration of parameter uncertainty. Background technique [0002] Due to the influence of factors such as material discreteness, measurement methods, manufacturing processes, and use environments, there are extensive parameter uncertainties in composite material structures. These uncertainties directly affect the performance of the structure, thereby affecting the reliability, robustness, and safety of the product. sex. In addition, the sensitivity test can obtain the degree of influence of each parameter on the mechanical response of the joint, identify the dominant parameters in the initial design stage, and provide clear guidance for joint performance optimization, thereby improving design efficiency. ...

AI Technical Summary

Problems solved by technology

[0003] Difficulties in the process of realizing the sensitivity detection of the mechanical properties of aluminum-carbon fiber composite (bonded / riveted) lap joints considering parameter uncertainties include: how to reduce the mechanical performance response of the system obtained by using a high-precision finite element model, Problems where joint damage significantly increases computational cost, etc.

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