Localised metamodelling techniques for geotechnical reliability-based analysis

• Type: Article in International Conference Proceedings Book
• Date: 2014

Authors

Sónia Marques (Author) FEUP; António Topa Gomes (Author) FEUP; António Abel Henriques (Author) FEUP

Conference proceedings International

Title: Geotechnical Safety and Risk IV - Proceedings of the 4th International Symposium on Geotechnical Safety and Risk, ISGSR 2013

Pages: 283-289

4th International Symposium on Geotechnical Safety and Risk, ISGSR 2013

Hong Kong, 4 December 2013 through 6 December 2013

Indexing

Scopus - 0 Citations

COMPENDEX

Scientific classification

FOS: Engineering and technology > Civil engineering

CORDIS: Technological sciences > Engineering > Civil engineering ; Technological sciences > Engineering > Civil engineering > Geotechnics

Other information

Authenticus ID: P-00G-2DD

DOI: 10.1201/b16058-41

Abstract (EN): Metamodelling is actually a very interesting research area for the replacement of simulation models when the trade-off between efficiency and accuracy is appropriate. Several approaches have been proposed, and localised metamodelling techniques applied in reliability-based analysis may involve the search for the most probable failure point. Response surface methodology has been suggested for the approximation of functions, namely implicit limit state functions. The response surface is typically constructed from a polynomial function fitted at a number of points, but no clear guidance has been given for the effect of varying their location. Results for a geotechnical design example with correlated nonnormal random variables are presented in the light of the quality of the design point approximation. In particular, interpolation methodologies in conjunction with appropriate experimental design are suggested for extracting nonlinear response surfaces whose roughness varies substantially over the input domain, so that sequential algorithms may adapt to nonlinear features © 2014 Taylor & Francis Group, London.

Language: English

Type (Professor's evaluation): Scientific