arrow
Return

Clustering analysis for elastodynamic homogenization

delete2023-03-29
delete1
PRE
AI
X
Xi Zhu
唐
唐少强 (Shaoqiang Tang) *
DOI:10.1007/s00466-023-02315-wdelete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
We propose a reduced-order method for the elastodynamic homogenization of periodic composites. With the help of Bloch-wave expansion and Green's function, the Lippmann-Schwinger equations relating the dynamic field variable tensors of strain, velocity, stress and linear momentum are obtained. Then the constitutive relation of the averaged dynamic field tensors and the dispersion relation between frequency and wave vector in Willis theory are formulated explicitly. Using the data compression algorithm, k-means clustering, we decompose computational domain into clusters of possibly disjoint cells. The Lippmann-Schwinger equations are then discretized and solved efficiently. Numerical tests for three-dimensional particle-reinforced composites verify the effectiveness and efficiency of the proposed method.
Keywords:
Numerical homogenization
Elastodynamic
Clustering analysis
Lippmann-Schwinger equation
Wave propagation

Journal

Computational Mechanics cover
Computational Mechanics
IF:
3.8
Papers:
3.2K
Citations:
9.0K

Organization

P
peking university
Scholars:
11.9W
Papers: 8.7W
Citations: 146
Cited Papers

Cited Papers

err
IF0
err
err0
PREAI
err
errShare
errSave
errShare
errSave
errShare
errSave
Evaluation of an adaptive automation system using three EEG indices with a visual tracking task
err1999-05-01
err0
PREAI
errFrederick G Freeman; Peter J Mikulka; Lawrence J Prinzel; Mark W Scerbo
errShare
errSave
Efficient multiscale modeling for woven composites based on self-consistent clustering analysis
err2020-06-01
err60
errOAAI
errHan, Xinxing; Gao, Jiaying; Fleming, Mark; Xu, Chenghai; Xie, Weihua; Meng, Songhe; Liu, Wing Kam
errShare
errSave
Cooperative spectrum sharing‐based relaying protocols with wireless energy harvesting cognitive user
err2018-04-09
err0
PREAI
errTarun Kalluri; Mansi Peer; Vivek Ashok Bohara; Daniel B. da Costa; Ugo S. Dias
errShare
errSave
researcher View more