Robust topology optimization method for particle-reinforced material components considering mixing uncertainty

Abstract

The invention discloses a robust topology optimization method for particle reinforced material components considering mixing uncertainty. It includes the following steps: considering the uncertainty in the manufacture and use of components using particle-reinforced materials, considering the insufficient external loading of the sample as interval uncertainty, considering the sufficient matrix of the sample and the properties of the particulate material, and the particle-reinforced phase in the matrix The volume distribution is regarded as a bounded probability uncertainty; the design domain and the volume distribution of the particle-enhanced phase are discretized respectively, physical and geometric constraints are set, and a robust topology optimization design model is established; the optimal criterion method is used to iteratively solve the consideration interval and the existence of Robust Optimal Design Models for Bounded Probabilistic Mixed Uncertainty. The component robust topology optimization design model established by the invention 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 to solve the problem, so that the optimization results can be obtained efficiently, and it has good performance. 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 mixing uncertainty. Background technique [0002] Topology optimization, as a method to adjust the distribution of finite materials in the structural design domain, so that the structure has the optimal target performance, has been widely used in structural design, and has become more mature with the popularization 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 abundant results. However, most of the current structural topology robust optimization methods only consider pure probability or pure interval u...

AI Technical Summary

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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