Multi-working-condition frame topological optimization method based on grey clustering algorithm model

Abstract

The invention discloses a multi-working-condition frame topological optimization method based on a grey clustering algorithm model, and the method comprises the specific steps: carrying out the initial topological optimization of a structure through employing the grey clustering algorithm model, carrying out the pseudo-density of a unit set A, carrying out the clustering of a sample group in the set A according to the correlation between a unit and the structure, determining a clustering index according to a specific actual engineering condition, and then dividing the set A into a deleted unit set B and a reserved unit set C; and filtering and classifying difficult-to-cluster units in a sample according to a distance selection threshold value from the difficult-to-cluster units to a force transmission path, performing grey clustering analysis, dividing A into a deletion unit set B or a reservation unit set C, and taking a frame as an implementation carrier. According to the method, the grey clustering algorithm is applied to the topological optimization design of the structure, the checkerboard phenomenon is effectively inhibited, the manufacturability of the topological optimization result is improved, the frame structure meeting the dynamic and static characteristics is designed, the design and manufacturing period of a product is shortened, and the research and development efficiency and quality of the product are improved.

Description

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AI Technical Summary

Benefits of technology

This patented technology uses Grey-Based algorithms for optimizing network topologies by eliminating areas near certain points along their length. It also allows for better control over how much space they occupy when transmitting data through them compared with traditional methods like Layered Networks (LN). By doing this, it improves overall performance and reliance between different components within an electronic device's circuitry system.

Problems solved by technology

Technological Problem: The technical problem addressed in this patented text relates to improving the efficiency and effectiveness of vehicles while minimizing their weight without compromising its overall performance. Conventional methods such as strengthening frames have limitations due to factors like fatigue caused by repeated use over time. To address these issues, new solutions called continuous topologyoptimization (CLT) were developed during the past decade. However, current CLT algorithms require multiple objectives and iterative processes, making them hard to interpret even if they provide accurate results.

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