一个高效的PGD解决器用于结构动力学应用程序
Clément Vella1, Pierre Gosselet1, Serge Prudhomme2
1UMR 9013, CNRS, Centrale Lille, LaMcube - Univ. Lille, 59000 Lille, France.
概括
本研究介绍了一种高效的正确通用分解 (PGD) 溶解器,用于线性弹性动力学中的减少顺序建模. 新方法通过将PGD与模态分解技术相结合,加速对3D结构的模拟.
科学领域:
- 计算力学 计算力学 计算力学
- 数字分析 数字分析
- 固体力学 固体力学是什么
背景情况:
- 减少顺序建模 (ROM) 对于高效的复杂系统模拟至关重要.
- 对于弹性动力学而言,现有的正确通用分解 (PGD) 溶解器可能是计算密集的.
- 哈密尔顿形式主义以前用于基于PGD的ROM.
研究的目的:
- 为线性弹性动力学问题开发一个更高的计算效率的PGD解决器.
- 通过加速固定点代来提高现有的PGD解决器的性能.
- 证明拟议的解决方案的准确性,效率和可扩展性.
主要方法:
- 实现一个混合溶解器,结合适当的通用分解 (PGD) 和模态分解.
- 纳入艾特肯的三角二次流程以加速融合.
- 应用模式正角化技术以确保算法稳定性.
- 通过动态模拟对三维结构进行验证.
主要成果:
- 提出的解决方案显著加速了固点代算法.
- 数字结果显示了减少顺序建模 (ROM) 的高精度.
- 与传统方法相比,解决器表现出更好的时间复杂性和可扩展性.
结论:
- 新的PGD解决器为线性弹性动力学提供了增强的计算效率.
- 混合方法有效地平衡动态模拟的准确性和速度.
- 这种方法为分析3D结构提供了强大且可扩展的解决方案.
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