A 3-level discretisation strategy using substructuring

Optimizing Noise and Vibration Performance Using Automated Multi-level Substructuring

The most costly part of the eeort for optimizing noise and vibration performance in automobiles is the computation of frequency response for very large nite element models. Until very recently, this task has only been feasible on vector supercomputers. The Automated Multi-Level Substructuring (AMLS) method has been developed to reduce the computational demands of frequency response analysis and...

Automated Multi-Level Substructuring for nonlinear eigenproblems

In this paper we generalize the automated multi–level substructuring method to certain classes of nonlinear eigenvalue problems which can be partitioned into an essential linear and positive definite pencil and a small residual. The efficiency of the method is demonstrated by numerical examples modeling damped vibrations of a structure with nonproportional damping, a gyroscopic eigenproblem, an...

Iterative Substructuring for Coupled Acoustics 3

Crack reconstruction using a level-set strategy

We present a level-set based technique to recover key characteristics of a defect or crack (e.g. location, length and shape) in a two-dimensional material from boundary electrical measurements. The key feature of this work is to extend the usual level-set technique for modeling volumetric objects to very thin objects. Two level-set functions are employed: the first one models the location and f...

Variable Discretisation forAnomaly Detection using Bayesian Networks

Anomaly detection is the process by which low probability events are automatically found against a background of normal activity. By definition there must be many more normal events than anomalous ones. This rare nature of anomalies causes numerical problems for probabilistic methods designed to automatically detect them. This report describes an algorithm that introduces new discretisation lev...