Variational Formulation and Associated Algorithm for the Starved Finite Journal Bearing

1983 ◽  
Vol 105 (3) ◽  
pp. 453-457 ◽  
Author(s):  
G. Bayada

This paper is a contribution to the numerical treatment of the cavitation in a finite journal bearing when starvation takes place. A new variational form taking account the inlet flow parameter is given and allows us to compute rupture and reformation boundary together with the performances of the bearing via finite element method.

2017 ◽  
Vol 25 (3) ◽  
Author(s):  
Michael Neilan

AbstractWe introduce and analyze a family of finite element methods for elliptic partial differential equations in non-variational form with non-differentiable coefficients. The finite element method studied is a variant of the one recently proposed in [Lakkis & Pryer,


1999 ◽  
Vol 32 (4) ◽  
pp. 185-196 ◽  
Author(s):  
Satish C Sharma ◽  
Vijay Kumar ◽  
S.C Jain ◽  
R Sinhasan ◽  
M Subramanian

1977 ◽  
Vol 99 (4) ◽  
pp. 478-484 ◽  
Author(s):  
D. V. Singh ◽  
R. Sinhasan ◽  
R. C. Ghai

Using finite element method steady state and dynamic performance of a capillary compensated hydrostatic journal bearing have been investigated. For stability studies, the critical mass of the bearing system has been determined by Routh’s criterion. The locus of the journal center has been predicted by discretizing time and numerically integrating the equations of motion governing the journal bearing system.


2019 ◽  
Vol 17 (09) ◽  
pp. 1950076 ◽  
Author(s):  
Jianfei Zhang ◽  
Xiaowei Deng

A robust discontinuous Galerkin (DG) finite element method is proposed for elasticity problems with interfaces, where the continuity across the interfaces is weakly enforced by using Nitsche’s method. We employ a weighting for the interfacial consistency terms arising in the Nitsche variational form and present a detailed finite element formulation of this DG method. The stabilization parameter is evaluated by solving element level generalized eigenvalue problem for higher-order elements. Consequently, we give the choice of the weighting parameter that results in an estimate for the stabilization parameter such that the method remains well behaved in the pathological cases. The accuracy and robustness of the proposed method are then demonstrated through several numerical examples.


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