MMM
YYYY
Clustering Solver for Displacement-based Numerical Homogenization
用于基于位移的数值均质化的聚类求解器
変位ベースの数値均質化のためのクラスタリングソルバー
변위 기반 수치 균질화를 위한 클러스터링 솔버
Solucionador de clústeres para homogeneización numérica basada en desplazamiento
Solveur de clustering pour l'homogénéisation numérique basée sur le déplacement
Кластерный решатель для численного усреднения на основе смещения
Shaoqiang Tang 唐少强, Xi Zhu 朱熙
HEDPS, CAPT and LTCS, College of Engineering, Peking University, Beijing 100871, China
北京大学工学院
Theoretical and Applied Mechanics Letters, 25 November 2021
Abstract

Based on strain-clustering via k-means, we decompose computational domain into clusters of possibly disjoint cells. Assuming cells in each cluster take the same strain, we reconstruct displacement field. We further propose a new way to condensate the governing equations of displacement-based finite element method to reduce the complexity while maintain the accuracy.

Numerical examples are presented to illustrate the efficiency of the clustering solver. Numerical convergence studies are performed for the examples. Avoiding complexities which is common in existing clustering analysis methods, the proposed clustering solver is easy to implement, particularly for numerical homogenization using commercial softwares.
Theoretical and Applied Mechanics Letters_1
Theoretical and Applied Mechanics Letters_2
Theoretical and Applied Mechanics Letters_3
Reviews and Discussions
https://www.hotpaper.io/index.html
Femtosecond laser maskless direct writing of dual-band crosstalk-free information for all-in-one high-security encryption metasurface
Polarization-guided diffusion prior for eyeglass reflection removal
AI-assisted metaphotonics
Interpretable low-dose CT enhancement via multi-Gaussian cluster variance reduction
Polygonal generalized perfect spatiotemporal optical vortices
Perovskite nanocrystals in glass for high efficiency and ultra-high resolution dynamic holographic multicolor display
Pixelated BIC metasurfaces for terahertz integrated sensing and imaging
Overcoming challenges in InP-based quantum dots: from nucleation mechanisms to high-performance quantum dot light-emitting diodes
Emerging landscape of photonic bound states in the continuum for next-generation metadevices
Holotomography-driven learning unlocks in-silico staining of single cells in flow cytometry by avoiding fluorescence co-registration
Narrow beam and low-sidelobe electro-optic beam steering on thin-film lithium niobate optical phased array
Scene-level passive polarization 3D imaging



Previous Article                                Next Article
About
|
Contact
|
Copyright © Hot Paper