Computational Modelling Group

Workshop  21st March 2012 10:30 a.m.  Room 1083, Building 2 (Weds) / Chilworth Manor (Thurs)

Bayesian Workshop

Web page
http://www.southampton.ac.uk/s3ri/
Categories
Acoustics, Structural dynamics
Submitter
Luke Goater

APPLICATION OF BAYESIAN METHODS IN STRUCTURAL AND VIBRO-ACOUSTICS DYNAMICS

The Workshop

The workshop will consist of presentations and discussions on the use of Bayesian methods in engineering (structural dynamics, acoustics and vibro-acoustics, inverse problems, etc.). Participation focussing on identification and simplification of parameters in the high frequency range is particularly welcome without limitation to this topic. Contributions are encouraged both in research on mathematical or statistical aspects of the Bayesian methods or the dynamic systems in this context and on applications to practical engineering problems. The first day of the workshop will be held on the University of Southampton’s main campus, and the second day will be hosted at Chilworth Manor (alongside the FP7 Mid-Frequency Short Course). The hotel is located a short drive from the main campus.

Programme

Wednesday, 21st March - Main campus Building 2, Room 1083

10:00-11:00 Welcome, registration and tea/coffee

11:00-12:00 Plenary session - Nozer Singpurwalla, Bayesian inference for adversarial parameters in diagnostic and threat detection (open to S3RI members)

12:00-13:00 Lunch

13:00-13:35 Peter Jan van Leeuwen, Bayes in high-dimensions: efficient particle filters

13:35-14:10 Andrew M. Stuart and Kody J.H. Law, Data assimilation for fluid mechanics: A comparison of Bayesian and filtering methodologies

14:10-14:45 Michael Beer and Matthias Stein, Handling imprecision in probabilistic models and Bayesian updating

14:45–15:15 Tea/coffee break

15:15-15:50 Paul E. Barbone and Assad A. Oberai, Efficiently computing uncertainty in solutions of inverse diffusion problems

15:50-16:25 Ellen Simoen and Geert Lombaert, Resolution and uncertainty analysis in Bayesian vibration-based model updating

16:25-17:00 E.Z. Moore, Kevin D. Murphy and J.M. Nichols, Practical implementations of a Bayesian, model-based SHM methodology

17:30 Coach to Chilworth Manor

19:30 Dinner Reception

Thursday, 22nd March—Chilworth Manor

09:30 -10:50 Plenary session - James L. Beck, Bayesian system identification and robust response predictions with applications in structural dynamics

10:50-11:20 Tea/coffee break

11:20-11:55 Bill Lionheart, Applied inverse problems

11:55-12:30 Keith Worden, Bayesian approaches to nonlinear system identification

12:30-13:50 Lunch

13:50-14:25 Costas Papadimitriou, Bayesian uncertainty quantification in structural dynamics simulations using high performance computing techniques

14:25-15:00 Christophe Lecomte, J.J. Forster, B.R. Mace and N.S. Ferguson, Bayesian parameter estimation at mid-frequency from transfer function measurements

15:00-15:30 Tea/coffee break

15:30-16:05 Richard Dwight, Reducing uncertainties in aeroelastic flutter boundaries using experimental data

16:05-16:40 Hamed H. Khodaparast, John E. Mottershead, Yves Govers, Michael Link and Richard Dwight, Interval model updating of the AIRMOD structure

16:40-17:15 Siu-Kui Au, Bayesian operational modal analysis: From theory to practice

17:30 Finish

Confirm Participation

Participation only for University of Southampton delegates is FREE on Wednesday 21st March – however please register with Jon Lawn j.lawn@soton.ac.uk or call +44(0)23 8059 2294) by Monday 19th March so we can confirm room numbers. The FREE registration does not include catering. We have to charge a fee of £40 for for the second day at Chilworth Manor, once again if you would like to register for Day 2 at Chilworth Manor, please do so with Jon Lawn, and provide a subproject code to charge the fee.

The workshop is organised by the Southampton Statistical Sciences Research Institute (S3RI) and the Institute of Sound and Vibration (ISVR).

Support for this workshop is provided by the Office of Naval Research Global under grant number N62909-12-1-1063. The content of the information does not necessarily reflect the position or the policy of the United States Government and no official endorsement should be inferred.