First and second-order sensitivity method of structure static displacement

被引：0
|
作者：
Ma K. [1 ]
Li B.-H. [1 ]
Yang K. [2 ]
Liu Q.-L. [1 ]
机构：
[1] College of Mechanical and Aerospace Engineering, Jilin University, Changchun
[2] Basic Education College of Aviation University of Air Force, Changchun
来源：
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2021年 / 51卷 / 02期
关键词：
Epsilon algorithm; Improved Newman series; Sensitivity analysis; Structural reanalysis;
D O I：
10.13229/j.cnki.jdxbgxb20191183
中图分类号：
学科分类号：
摘要：
Based on Epsilon algorithm and improved Neumann series, an approximate method for calculating the first and second order sensitivity of structural static displacement is proposed. First, the Epsilon algorithm is combined with the improved Neumann series to form a new fast approximate calculation method of static displacement, and a fast approximate calculation method of the first-order sensitivity of static displacement is derived. Then, the second-order sensitivity approximate calculation method of static displacement is further derived by combining the difference method with the first-order sensitivity method. The sensitivity calculation results of truss model and beam model show the engineering application value of the two sensitivity methods. © 2021, Jilin University Press. All right reserved.
引用
收藏
页码：472 / 477
页数：5
相关论文
共 14 条
  • [11] Kirsch U., Approximate vibration reanalysis of structures, AIAA Journal, 41, 3, pp. 504-511, (2003)
  • [12] Lederer C, Altstadt S, Andriamonje S., An efficient reanalysis methodology for probabilistic vibration of largescale structures, Journalof Mechanical Design, 131, 5, (2009)
  • [13] Xu T, Guo G, Zhang H., Vibration reanalysis using frequency-shift combined approximations, Structural and Multi-disciplinary Optimization, 44, 2, pp. 235-246, (2011)
  • [14] Gao G, Wang H, Li G., An adaptive time-based global method for dynamic reanalysis, Structural and Multi-disciplinary Optimization, 48, 2, pp. 355-365, (2013)
12