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功能梯度材料的二阶一致无网格法 被引量:11

QUADRATICALLY CONSISTENT MESHFREE METHOD FOR FUNCTIONALLY GRADED MATERIALS
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摘要 功能梯度材料的数值分析通常模型化为材料参数如弹性模量在空间的梯度分布,这将导致更为复杂的应力场,给数值求解带来一定困难。高阶无网格法能更精确地反映应力场,然而过多的积分点导致其计算效率低下。该文将原本针对均匀材料发展的二阶一致无网格法直接应用于功能梯度材料。数值结果表明,它大幅度减少了所需的积分点数目,同时仍然保持高阶无网格法的高精度和高收敛性,因而显著改善了无网格法分析功能梯度材料的计算效率。 Functionally graded materials (FGMs) are usually modeled, in numerical analysis, by using a graded distribution of material parameters, such as the Young's modulus. This leads to more complicated stress field and poses certain difficulties in numerical simulations. On the other hand, high-order meshfree methods reproduce stress field more accurately. However, they require much more integration points which leads to inefficiency. In this study, the quadratically consistent meshfree method, originally developed for homogeneous materials, was directly applied to FGM. Numerical results show that the number of integration points are dramatically reduced and meanwhile, the high level of accuracy and convergence of high-order meshfree methods are maintained. As a result, the proposed quadratically consistent meshfree method remarkably improves the computational efficiency of meshfree analysis of FGM.
作者 邵玉龙 段庆林 李锡夔 张洪武 SHAO Yu-long DUAN Qing-lin LI Xi-kui ZHANG Hong-wu(State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian, Liaoning 116024, China State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, Sichuan 610059, China State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, Hubei 430072, China)
出处 《工程力学》 EI CSCD 北大核心 2017年第3期15-21,共7页 Engineering Mechanics
基金 国家自然科学基金项目(11232003 11372066) 中央高校基本科研业务费专项资金项目(DUT15LK07) 辽宁省教育厅重点实验室基础研究项目(LZ2014002) 水资源与水电工程科学国家重点实验室开放基金项目(2015SGG03) 地质灾害防治与地质环境保护国家重点实验室开放基金项目(SKLGP2016K007)
关键词 功能梯度材料 无网格 一致性 计算效率 数值积分 functionally graded materials (FGM) meshfree/meshless consistency computational efficiency numerical integration
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