Automated Topological Clustering of Design Proposals in Structural Optimisation

Abstract

Topology optimisation provides support in designing new components. However, the inbuilt multitude of optimisation parameters (penalty factor, etc.) as well as the finite element parameters (mesh, etc.) influences the simulation results and leads to a multitude of design proposals, which have to be evaluated manually by the product developer. Therefore, an evaluation algorithm was developed, which is able to quantitate the structural resemblance of two design proposals. By enabling a computer to generate and process both the visual compare and its result, it is possible to cluster design proposals that share the same major topology. So systematic parameter studies are simplified and this provides a deeper simulation and product understanding.

Assessment of Regional Water Resource Security: A Case Study from Hebei Province, China

“…Scientifically and effectively extracting the factors of the target layer is the foundation for evaluation. If relevant research results are obtained within a large range and the evaluation index system is established according to the frequency statistics method, the data statistics and the computational process will not only be tedious, but some indexes will also repeatedly reflect the same content, resulting in deviation in the evaluation result [23,24]. Hence, the grey correlation clustering method was employed in this study for quantitative screening in the water supply safety index system, followed by data analysis in strict accordance with the index system structure to ensure the integrity of the index system to the greatest extent.…”

User Roles in Virtual Community of Crowdsourcing for Innovation: A Case Study of Xiaomi MIUI in China

“…K-means clustering algorithm is a simple, practical and typical clustering method based on the distance between samples. By integrating the SNA and K-means clustering algorithm, the relationship behavior characteristics and the contribution behavior characteristics of user participation in crowdsourcing innovation community are taken into account, which enables administrators to understand user behavior comprehensively [25].…”

Methods for Increased Efficiency of FEM-Based Topology Optimization

“…Topology optimization is an ideal tool for developing lightweight structures for various applications. Typical algorithms aim to optimize stiffness, strength or a combination of both while reducing the weight of the structure [1][2][3][4].…”