Seismic reliability analysis of structures by an adaptive support vector regression based metamodel

Roy, A. and Chakraborty, S. (2023) Seismic reliability analysis of structures by an adaptive support vector regression based metamodel. Journal of Earthquake Engineering, (doi: 10.1080/13632469.2023.2242975) (Early Online Publication)

Abstract

The dual metamodeling approach is usually adopted to tackle the stochastic nature of earthquakes in seismic reliability analysis relying on the lognormal response assumption. Alternatively, a direct response approximation approach where separate metamodels are constructed for each earthquake is attempted here avoiding prior distribution assumption. Further, an adaptive support vector regression-based metamodeling is proposed that selects new training samples near the failure boundary with due consideration to accuracy and efficiency. The effectiveness of the approach is elucidated by comparing it with the results obtained by the direct Monte Carlo simulation technique and a state-of-the-art active learning-based Kriging approach.

• Item Type: Articles
• Status: Early Online Publication
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Roy, Dr Atin
• Authors: Roy, A., and Chakraborty, S.
• College/School: College of Science and Engineering > School of Engineering > Infrastructure and Environment
• Journal Name: Journal of Earthquake Engineering
• Publisher: Taylor and Francis
• ISSN: 1363-2469
• ISSN (Online): 1559-808X
• Published Online: 11 August 2023
• Copyright Holders: Copyright © 2023 Taylor & Francis Group, LLC
• First Published: First published in Journal of Earthquake Engineering 2023
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher