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Multi-scale Analysis Of 2.5D Woven Composites Based On Self-consistent Clustering Analysis

Posted on:2021-05-10Degree:MasterType:Thesis
Country:ChinaCandidate:X DaiFull Text:PDF
GTID:2381330611499085Subject:Aerospace engineering
Abstract/Summary:PDF Full Text Request
Radome plays an important role in the communication system of modern civil aviation airliner,fighter and all kinds of medium and long-range missiles.Because of its special working environment and performance requirements,it should not only have excellent communication performance,but also have good comprehensive performance under high-temperature heat load and humid environment.This paper focuses on a new 2.5DSiO2 /SiO2 woven composites useing in radome,the calculation cost of full-scale real model simulation of large-scale structural parts with complex micro geometry inside is too large.On the micro scale,SCA?self consistent analysis?algorithm is used to reduce the order of cells,and a multi-scale analysis framework is established to realize the highspeed solution of micro unit cells and improve the mechanical response of the macro radome so as to make a forecast.In this paper,based on the stress balance equation of elastic mechanics,the SCA algorithm can be theroetical derivation,including the solution of Lippman-Schwinger integral equation and interaction tensor.The framework of multi-scale analysis of SCA algorithm is build,and the whole process of applying SCA algorithm to 2.5D cell is completed.It provides a theoretical basis for the following micro and macro scale.On the micro scale,the region is divided according to the knitting process of radome,and the micro geometry cell of 2.5D woven composites are established based on the region division.Then the SCA analysis algorithm is used to realize the high-speed solution of 2.5D cell and the macro equivalent performance calculation.Then,the feasibility of SCA algorithm in the 2.5D unit cell is verified by comparing with the finite element results.By changing the clustering number of matrix and fiber in SCA algorithm,the influence of clustering number on SCA calculation accuracy is studied.Then,the calculation accuracy of SCA under various loads are studied by applying uniaxial tension,uniaxial compression,pure shear and biaxial tension loads to the 2.5D unit cell.On the macro scale,the macro equivalent performance of the cells with different geometric parameters is compared with the performance parameters calculated from the experimental data.At the same time,the causes of the deviation between them are analyzed and the reliability of SCA algorithm is verified.After that,the equivalent parameters are given to different areas of the structure of the radar cover and the danger position of the radar cover is observed by finite element simulation.Then,the corresponding countermeasures are given.By the application of radome area division and SCA algorithm using in the 2.5D unit cell,this paper takes 2.5DSiO2 /SiO2 woven composites radome as object of the study and test the feasibility of this SCA multi-scale framework.To some extent,it solves the problems of low calculation efficiency and inaccurate location judgment of dangerous points for large-scale structural parts with complex micro geometry.
Keywords/Search Tags:2.5DSiO2/SiO2 Woven composites, Radome, Self-consistent-analysis clustering algorithm, Multi-scale
PDF Full Text Request
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