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变分一致型伽辽金无网格法的最优积分域数量OA

Optimal integration domain number for variationally consistent Galerkin meshfree methods

中文摘要英文摘要

变分一致型伽辽金无网格法满足积分约束条件,能有效解决传统伽辽金法数值积分不稳定、计算效率低的问题.为了进一步提升变分一致型伽辽金无网格法的计算效率,本文提出了变分一致型伽辽金无网格法的最优数值积分域数量.首先以赫林格-赖斯纳混合离散弱形式为基础,通过判断是否满足正定性条件,确定保证收敛性时最小积分域数量.同时,通过分析变分一致型无网格法中光滑导数的一致性条件与其自由度之间的关系,确定保证计算精度时最小积分域数量.从而建立变分一致型伽辽金无网格法的积分域优化方案.当追求计算效率时,可采用最小积分域个数的数值积分域划分方案.当同时考虑效率和精度时,可采用最优精度下的最小积分域划分方案.本文优化方案可为变分一致型伽辽金法的积分域划分提供参考,以进一步提升该方法的计算效率.最后,通过势问题和弹性力学问题验证了本文积分域优化方案的有效性.

The variationally consistent Galerkin meshfree methods satisfy the integration constraint,effectively addressing the issues related to integration instability and low efficiency.To further enhance efficiency,this paper determines the optimal numbers of integration domains for the consistent Galerkin meshfree methods based on Hellinger-Reissner mixed formulation framework.A minimum number of integration domains is established by ensuring the coercivity of the weak form,guaranteeing the convergence of the Galerkin method.Additionally,by considering both accuracy and efficiency,another minimum number of integration domains with optimal accuracy is derived from the relationship between the smoothed shape function derivatives'consistency condition and their degrees of freedom.Therefore,the optimal integration domain scheme involves using the minimum number of integration domains for better efficiency.For a balance between accuracy and efficiency,the minimum number of integration domains that ensures optimal accuracy should be employed.The proposed scheme improves the efficiency of variationally consistent Galerkin meshfree methods.Finally,a set of potential and elasticity problems is used to verify the effectiveness of the proposed method.

吴俊超;徐洋涛;王崇志;赵珧冰

华侨大学土木工程学院,福建省智慧基础设施与监测重点实验室,厦门 361021华侨大学土木工程学院,福建省智慧基础设施与监测重点实验室,厦门 361021华侨大学土木工程学院,福建省智慧基础设施与监测重点实验室,厦门 361021华侨大学土木工程学院,福建省智慧基础设施与监测重点实验室,厦门 361021

数理科学

伽辽金无网格法变分一致性数值积分域赫林格-赖斯纳混合离散再生光滑梯度

Galerkin meshfree methodsvariational consistencynumerical integration domainHellinger-Reissner mixed-formulationReproducing kernel smoothed gradient

《计算力学学报》 2026 (1)

132-138,156,8

国家自然科学基金(12272139)福建省自然科学基金(2023J011082022J01290)福厦泉国家自主创新示范区协同创新平台项目(3502ZCQXT2022002)资助.

10.7511/jslx20241006001

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