Kriging metamodeling-based Monte Carlo Simulation for improved seismic fragility analysis of structures

Ghosh, S., Roy, A. and Chakraborty, S. (2021) Kriging metamodeling-based Monte Carlo Simulation for improved seismic fragility analysis of structures. Journal of Earthquake Engineering, 25(7), pp. 1316-1336. (doi: 10.1080/13632469.2019.1570395)

Abstract

The polynomial response surface method (RSM) is mostly adopted to overcome computational challenge of Monte Carlo Simulation (MCS)-based seismic fragility analysis (SFA) of structure. However, such SFA approach is primarily based on dual RSM involving lognormal assumption which lacks desired accuracy. The present study explores the advantage of adaptive nature of Kriging approach for improved SFA by random selection of metamodel to implicitly consider record to record variations of earthquakes. Without additional computational burden, the approach avoids a prior distribution assumption unlike dual RSM. The effectiveness of the approach over the usual polynomial RSM for SFA is elucidated numerically.

• Item Type: Articles
• Additional Information: This work was supported by the Department of Science and Technology, Govt. of India [grantnumber DST/TSG/STS/2012/45].
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Roy, Dr Atin
• Authors: Ghosh, S., 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: 12 February 2019
• Copyright Holders: Copyright © 2021 Taylor and Francis
• First Published: First published in Journal of Earthquake Engineering 25(7):1316-1336
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher