Particle reinforced material component robust topological optimization method by considering hybrid uncertainty

Abstract

The invention discloses a particle reinforced material component robust topological optimization method by considering mixing uncertainty. The method comprises the following steps: considering uncertainty of a component using a particle reinforced material in manufacturing and use, regarding an insufficient external load of a sample as interval uncertainty, and regarding sufficient matrix and particle material attributes of the sample and volume distribution of a particle reinforced phase in the matrix as bounded probability uncertainty; discretizing the volume distribution of the design domain and the particle reinforced phase, setting physical and geometric constraints, and establishing a robust topological optimization design model; and iteratively solving the robust optimization designmodel considering the interval and bounded probability mixed uncertainty by using an optimal criterion method. The component steady topological optimization design model established by adopting the method truly reflects the distribution characteristics of multi-source uncertainty in actual engineering, and the proposed structural performance statistical moment estimation method and the optimal criterion method are used for solving, so that the optimization result can be efficiently obtained, and the method has a very good engineering application value.

Description

technical field [0001] The invention belongs to the field of equipment structure optimization design, and relates to a robust topology optimization method for particle reinforced material components considering mixed uncertainty. Background technique [0002] As a method of adjusting the distribution of limited materials in the structural design domain to make the structure have the optimal target performance, topology optimization has been widely used in structural design, and has been further matured with the promotion of additive manufacturing technology in recent years. Due to various uncertainties in the process of manufacturing and use, in order to prevent the performance of topology optimization design results from deteriorating after actual processing, robust topology optimization considering uncertainties has also achieved fruitful results. However, most current structural topology robust optimization methods only consider pure probability or pure interval uncertain...

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Problems solved by technology

[0005] In order to solve the problem of robust topology optimization design of particle-reinforced material components under the coexistence of probability interval uncertain factors, the present invention provides a robust topology optimization design method for particle-reinforced material components considering the mixed uncertainty of interval and bounded probability

Thus, the problem of robust topology optimization design using particle-reinforced material components under the coexistence of uncertain factors in the probability interval is efficiently solved

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