FLEXIBLE MULTIBODY SYSTEMS MODELING FOR A DYNAMIC ANALYSIS WITH GEOMETRIC NONLINEARITY

被引:0
作者
Gutierrez, Ruth [1 ]
Lugris, Urbano [1 ]
Cuadrado, Javier [1 ]
Romera, Luis E. [1 ]
机构
[1] Univ A Coruna, Escuela Politecn Super, Ferrol 15403, Spain
来源
REVISTA INTERNACIONAL DE METODOS NUMERICOS PARA CALCULO Y DISENO EN INGENIERIA | 2007年 / 23卷 / 02期
关键词
Simulation; Flexible Multibody Systems; Geometric Stiffness; Efficiency; FORMULATION; SIMULATION; ELEMENT; TERMS;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Simulation tools are an open and active research field for analysis of multibody systems, as it permits time and cost reduction in the design process of mechanical systems. During the last years, the authors have developed a method for the analysis of rigid-flexible multibody systems. The flexible bodies are modeled by means of the floating frame of reference formulation. This group of methods works with two kind of coordinates, elastic and reference coordinates, which allow us to consider separately the movement of large and small amplitude. It is the most widely used group of methods in the computer simulation of flexible multibody systems and they are accurate considering small deformation hypothesis behavior of the components. With large flexible components rotating to high speed, the small deformation hypothesis behavior are no longer admissible and the second order effects are determinant in the movement prediction. This work investigates the geometric stiffness phenomena modeling in the analysis of flexible multibody systems with a double objective, the accurate determination of the stress field and the achievement of real-time performance on conventional PC platforms. A system where this geometric nonlinearity is relevant is analyzed. Two proposals are explored, incrementing the number of axial deformation modes and considering the foreshortening effect, respectively, in order to improve the accuracy and the efficiency of the current formulations.
引用
收藏
页码:159 / 176
页数:18
相关论文
共 50 条
[41]   Evolution of the DeNOC-based dynamic modelling for multibody systems [J].
Saha, S. K. ;
Shah, S. V. ;
Nandihal, P. V. .
MECHANICAL SCIENCES, 2013, 4 (01) :1-20
[42]   A novel machine learning method for real-time dynamic analysis of tensegrity flexible multibody systems [J].
Song, Ningning ;
Wang, Mingji ;
Wang, Xinwei ;
Peng, Haijun .
NONLINEAR DYNAMICS, 2025, 113 (15) :19047-19074
[43]   Model smoothing methods in numerical analysis of flexible multibody systems [J].
Qi Z. ;
Cao Y. ;
Wang G. .
Lixue Xuebao/Chinese Journal of Theoretical and Applied Mechanics, 2018, 50 (04) :863-870
[44]   Model smoothing method of contact-impact dynamics in flexible multibody systems [J].
Zhang, Xingang ;
Qi, Zhaohui ;
Wang, Gang ;
Guo, Shudong .
MECHANISM AND MACHINE THEORY, 2019, 138 :124-148
[45]   A linearized input-output representation of flexible multibody systems for control synthesis [J].
Jonker, J. B. ;
Aarts, R. G. K. M. ;
van Dijk, J. .
MULTIBODY SYSTEM DYNAMICS, 2009, 21 (02) :99-122
[46]   New development of the dynamic modeling and the inverse dynamic analysis for flexible robot [J].
My, Chu A. ;
Bien, Duong X. .
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2020, 17 (04)
[47]   Explicit Finite Element Analysis of a Flexible Multibody Dynamic System with Highly Damped Compliant Fingers [J].
Liu, Chih-Hsing ;
Lee, Kok-Meng .
2010 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2010,
[48]   Dynamics modeling and quantitative analysis of multibody systems including revolute clearance joint [J].
Bai, Zheng Feng ;
Zhao, Yang .
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2012, 36 (04) :554-567
[49]   Modeling and analysis of rigid multibody systems with driving constraints and frictional translation joints [J].
Zhuang, Fang-Fang ;
Wang, Qi .
ACTA MECHANICA SINICA, 2014, 30 (03) :437-446
[50]   Multibody modeling of varying complexity for dynamic analysis of large-scale wind turbines [J].
Jin, Xin ;
Li, Lang ;
Ju, Wenbin ;
Zhang, Zhaolong ;
Yang, Xiangang .
RENEWABLE ENERGY, 2016, 90 :336-351