Meta-models for structural reliability and uncertainty quantification

Details Meta-models for structural reliability and uncertainty quantification Meta-models for structural reliability and uncertainty quantification

2012-03-09

arxiv.org/abs/1203.2062v1

Statistics

Methodology

Keynote lecture Fifth Asian-Pacific Symposium on Structural Reliability and its Applications (5th APSSRA) May 2012, Singapore

Scientific paper

A meta-model (or a surrogate model) is the modern name for what was traditionally called a response surface. It is intended to mimic the behaviour of a computational model M (e.g. a finite element model in mechanics) while being inexpensive to evaluate, in contrast to the original model which may take hours or even days of computer processing time. In this paper various types of meta-models that have been used in the last decade in the context of structural reliability are reviewed. More specifically classical polynomial response surfaces, polynomial chaos expansions and kriging are addressed. It is shown how the need for error estimates and adaptivity in their construction has brought this type of approaches to a high level of efficiency. A new technique that solves the problem of the potential biasedness in the estimation of a probability of failure through the use of meta-models is finally presented.

Affiliated with

Also associated with

No associations

Rating

Meta-models for structural reliability and uncertainty quantification does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Meta-models for structural reliability and uncertainty quantification, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Meta-models for structural reliability and uncertainty quantification will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-302215