Dynamic simulation of crankshaft multibody systems

2009 ◽  
Vol 22 (2) ◽  
pp. 133-144 ◽  
Author(s):  
C. B. Drab ◽  
H. W. Engl ◽  
J. R. Haslinger ◽  
G. Offner ◽  
R. U. Pfau ◽  
...  
Keyword(s):  
Dynamic Simulation ◽  
Multibody Systems

Kinematic and Dynamic Simulation of Multibody Systems

1994 ◽  
Author(s):  
Javier García de Jalón ◽  
Eduardo Bayo
Keyword(s):  
Dynamic Simulation ◽  
Multibody Systems

scholarly journals Constraint Gradient Projective Method for Stabilized Dynamic Simulation of Constrained Multibody Systems

2003 ◽  
Author(s):  
Zdravko Terze ◽  
Joris Naudet ◽  
Dirk Lefeber
Keyword(s):  
Mathematical Models ◽  
Dynamic Simulation ◽  
Multibody Systems ◽  
Point Of View ◽  
Constraint Violation ◽  
Projective Method ◽  
Holonomic Constraints ◽  
Constrained Multibody Systems ◽  
Constrained Mechanical Systems ◽  
Holonomic Systems

Constraint gradient projective method for stabilization of constraint violation during integration of constrained multibody systems is in the focus of the paper. Different mathematical models for constrained MBS dynamic simulation on manifolds are surveyed and violation of kinematical constraints is discussed. As an extension of the previous work focused on the integration procedures of the holonomic systems, the constraint gradient projective method for generally constrained mechanical systems is discussed. By adopting differentialgeometric point of view, the geometric and stabilization issues of the method are addressed. It is shown that the method can be applied for stabilization of holonomic and non-holonomic constraints in Pfaffian and general form.

Determination of Significance of Stress Stiffening Effects in Flexible Multibody Dynamic Systems

1992 ◽  
Author(s):  
Jeha Ryu ◽  
Sang Sup Kim ◽  
Sung-Soo Kim
Keyword(s):  
Dynamic Simulation ◽  
Dynamic Systems ◽  
Stiffness Matrix ◽  
Multibody Systems ◽  
Flexible Body ◽  
Multibody Dynamic ◽  
Flexible Multibody ◽  
Multibody Dynamic System ◽  
Modal Stress

Abstract This paper presents a criterion for determining whether or not a flexible multibody dynamic system reveals stress stiffening effects. In the proposed criterion, the eigenvalue variation that results from adding the modal stress stiffness matrix to the conventional linear modal stiffness matrix is examined numerically before actual dynamic simulation. If the variation is sufficiently large for any flexible body, then stress stiffening effects are said to be significant and must be included in dynamic simulation of flexible multibody systems. Since the criterion uses the most general stress stiffness matrix, which can be represented as a function of applied and constraint reaction loads as well as of a system of 12 inertial loads, this criterion is applicable to any general flexible multibody dynamic systems. Several numerical results are presented to show the effectiveness of the proposed criterion.

Partitioned Dynamic Simulation of Multibody Systems

2010 ◽  
Vol 5 (3) ◽  
Author(s):  
Sukhpreet Singh Sandhu ◽  
John McPhee
Keyword(s):  
Explicit Expression ◽  
Dynamic Simulation ◽  
Computational Efficiency ◽  
Multibody Systems ◽  
Direct Simulation ◽  
Simulation Approach ◽  
Constraint Forces ◽  
Solution Approach ◽  
Time Integrators ◽  
Implicit And Explicit

Partitioned dynamic simulation of multibody systems offers the benefit of increased modularity over direct simulation, thereby allowing for the use of softwares tailored to the needs of each physical subsystem. In this paper, the partitioned simulation of multibody systems is accomplished by deriving an explicit expression for the constraint forces acting between subsystems. These constraint forces form the basis of a coupling module that communicates results between subsystems, each of which can be simulated independently using tailored numerical solvers. We provide details of how this partitioned solution approach can be implemented in the framework of implicit and explicit time integrators. The computational efficiency of the proposed partitioned simulation approach is established, in comparison with direct simulation, by solving three suitable problems containing both rigid and deformable components.

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