Imprecise probability reliability design method for equipment airborne airbag buffer device

Abstract

The invention discloses an imprecise probability reliability design method for an equipment airborne airbag buffer device. The method comprises the following steps: describing a random vector and a probability box vector through a probability model and a probability box model respectively; in order to effectively construct a cumulative distribution function of a probability box variable, ensuringthe consistency of the cumulative distribution function by adopting a moment condition, and ensuring the effectiveness of the cumulative distribution function by adopting a shape condition; meanwhile,in order to ensure the uniqueness of the cumulative distribution function, reconstructing the cumulative distribution function of the probability box variables based on the maximum entropy principle,and solving the reliability index of the equipment airborne airbag buffer device through an iterative mapping genetic algorithm; according to the method, the uncertain variable in the buffer processof the air bag under equipment can be effectively constructed, the calculation efficiency and the solution quality of the solution reliability index can be improved essentially, and the method has a wide engineering application value in the field of air bag under equipment safety.

Description

technical field [0001] The invention relates to the field of equipment airborne safety protection, in particular to an inaccurate probabilistic reliability design method for an equipped airborne airbag buffer device. Background technique [0002] Due to its light weight and good energy absorption effect, the airbag cushioning device has been widely used in technical fields such as equipment airborne, drone recovery, space return, etc., and has become an important part of equipment safety. [0003] For the design of the buffer device equipped with airborne airbags, the existing design methods have the following problems: [0004] 1. Most of the existing design methods for airbag cushioning devices for airborne equipment are studied under the deterministic condition of the system parameter model, but in the actual airborne equipment process, there are errors in boundary conditions, initial conditions, and measurement conditions Or uncertainty, if these factors are still treat...

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Problems solved by technology

[0004] 1. Most of the existing design methods for airbag cushioning devices for airborne equipment are studied under the deterministic condition of the system parameter model, but in the actual airborne equipment process, there are errors in boundary conditions, initial conditions, and measurement conditions or uncertainty, if these factors are still treated as deterministic factors, it will lead to a large deviation between the system response and the actual response

[0005] 2. For the reliability design method of the airborne airbag buffer device, some existing methods use probability models to describe the uncertain design variables, but in the actual design process, many uncertain variables cause probability The distribution density is unknown, making it difficult to accurately obtain the probability distribution of uncertain design variables

[0006] 3. For the reliability design method of the airborne airbag cushioning device, some existing methods use non-probabilistic convex set models to describe uncertain design variables, although the non-probable convex set models describing uncertain design variables do not need to be accurate probability distribution, but because the non-probability convex set model emphasizes too much extreme conditions, it will result in a conservative design

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