A bridge crane reliability optimization design method

Abstract

The invention discloses a bridge crane reliability optimization design method which comprises the following steps: S1, defining uncertain structure parameters in a crane, and describing the uncertainparameters as interval variables; S2, establishing a limit state function according to the structural failure form, and solving a reliability index in the optimization model by adopting a Vparalove function in MATLAB based on an interval analysis method; S3, introducing a non-probabilistic reliability index, and establishing a non-probabilistic reliability optimization design model by taking a given required reliability index as a constraint condition; S4, solving an optimization problem;. According to the method, the reliability index can be effectively, quickly and accurately solved; Secondly, the common defects of low iteration rate, low optimization precision, large storage space and the like of an optimization algorithm in the actual solving process are considered; On the basis of researching a traditional moth flame algorithm, the method is effectively improved, and the convergence rate and the convergence precision of the outer layer optimizer are remarkably improved. And the method has an important value in structural reliability optimization design in engineering practice.

Description

technical field [0001] The present invention relates to the technical field of bridge cranes, more specifically, to a reliability optimization design method for bridge cranes Background technique [0002] With the rapid development of the domestic economy, scientific and technological innovation has become a key factor in promoting economic development. The development trends of large-scale, high-speed, specialized, intelligent, and lightweight lifting equipment have been recognized by the industry. Lightweight lifting equipment can not only reduce the production cost of lifting equipment products, but also reduce the function of lifting equipment. consumption, and can reduce the investment of manufacturers. Due to many factors such as the complex working environment of the crane, the variable load, and the direct or indirect contact of multiple mechanisms and components with the staff, the potential danger of the crane during use is exacerbated. The occurrence of hoisting...

AI Technical Summary

Problems solved by technology

Small errors in probability data can lead to large errors in structural reliability calculations

It shows that when there is not enough data information to describe the probability model, under the subjective assumption, the result of probability reliability calculation is unreliable

Moreover, in fact, in many cases, it is not easy to obtain accurate probability data of uncertain parameters (such as load)

But the magnitude or bounds of the parameter uncertainty are easy to determine