scholarly journals Augmented lagrangian and mass-orthogonal projection methods for constrained multibody dynamics

1996 ◽  
Vol 9 (1-2) ◽  
pp. 113-130 ◽  
Author(s):  
E. Bayo ◽  
R. Ledesma
Author(s):  
Daniel Dopico ◽  
Javier Cuadrado ◽  
Juan C. Garcia Orden ◽  
Alberto Luaces

This work presents the application to the dynamics of multibody systems of two methods based on augmented Lagrangian techniques, compares them, and gives some criteria for its use in realistic problems. The methods are an augmented Lagrangian method with orthogonal projections of velocities and accelerations, and an augmented Lagrangian energy conserving method. Both methods were presented by the authors in a very recent work, but it was not complete since the testing and the comparison of the methods was done by simulating a simple and academic example, and that was not sufficient to draw conclusions in terms of efficiency. For this work, the whole model of a vehicle has been simulated through both formulations, and their performance compared for such a large and realistic problem.


1996 ◽  
Vol 49 (10S) ◽  
pp. S35-S40 ◽  
Author(s):  
R. L. Huston

This is a review of multibody dynamics research reported in the technical literature since 1990. It is an update of an earlier review appearing in 1991. In the five to six years since the writing of that first review, it is found that the literature has greatly expanded, attesting to a major increase in research efforts, with the greatest increase occurring in flexible and constrained multibody dynamics. In this review, the state-of-the-art of the research is briefly outlined and a discussion about unresolved issues and research opportunities is presented.


2017 ◽  
Vol 36 (2) ◽  
pp. 235-246 ◽  
Author(s):  
Sheldon Andrews ◽  
Marek Teichmann ◽  
Paul G. Kry

2016 ◽  
Vol 85 (3) ◽  
pp. 1491-1508 ◽  
Author(s):  
Francisco González ◽  
Daniel Dopico ◽  
Roland Pastorino ◽  
Javier Cuadrado

Author(s):  
Heinrich Voss ◽  
Jiacong Yin ◽  
Pu Chen

The Automated Multilevel Sub-structuring (AMLS) method is a powerful technique for computing a large number of eigenpairs with moderate accuracy for huge definite eigenvalue problems in structural analysis. It also turned out to be a useful tool to construct a suitable ansatz space for orthogonal projection methods for gyroscopic problems. This paper takes advantage of information gained from AMLS to improve the obtained eigenpairs via a small number of subspace iteration steps.


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