Recent Advances in Finite Element Templates

2009 ◽  
pp. 71-98 ◽  
Author(s):  
C.A. Felippa
Keyword(s):  
Finite Element ◽  
Recent Advances

SOME RECENT ADVANCES IN THE WAVE FINITE ELEMENT METHOD

2021 ◽  
Author(s):  
Denis Duhamel ◽  
B. Claudet ◽  
T. Hoang ◽  
G. Foret ◽  
Jean-Mathieu Mencik
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Recent Advances ◽  
Element Method

scholarly journals Recent advances in finite element modelling of ductile fracture at mesoscale

2018 ◽  
Vol 15 ◽  
pp. 39-45 ◽  
Author(s):  
P.-O. Bouchard ◽  
Victor Trejo Navas ◽  
Modesar Shakoor ◽  
Thilo Morgeneyer ◽  
Ante Buljac ◽  
...  
Keyword(s):  
Finite Element ◽  
Ductile Fracture ◽  
Finite Element Modelling ◽  
Element Modelling ◽  
Recent Advances

Machine Health Monitoring and Life Management Using Finite Element Based Neural Networks

1995 ◽  
Author(s):  
Michael J. Roemer ◽  
Chi-an Hong ◽  
Stephen H. Hesler
Keyword(s):  
Neural Network ◽  
Finite Element ◽  
Real Time ◽  
Health Monitoring ◽  
Element Model ◽  
Network Technology ◽  
Element Analysis ◽  
Recent Advances ◽  
Machine Health Monitoring ◽  
Neural Network Technology

This paper demonstrates a novel approach to condition-based, health monitoring for rotating machinery using recent advances in neural network technology and rotordynamic, finite-element modeling. A desktop rotor demonstration rig was used as a proof of concept tool. The approach integrates machinery sensor measurements with detailed, rotordynamic, finite-element models through a neural network which is specifically trained to respond to the machine being monitored. The advantage of this approach over current methods lies in the use of an advanced neural network. The neural network is trained to contain the knowledge of a detailed finite-element model whose results are integrated with system measurements to produce accurate machine fault diagnostics and component stress predictions. This technique takes advantage of recent advances in neural network technology that enable real-time machinery diagnostics and component stress prediction to be performed on a PC with the accuracy of finite-element analysis. The availability of the real-time, finite-element based knowledge on rotating elements allows for real-time component life prediction as well as accurate and fast fault diagnosis.

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