Paul, B and Manohar, CS (2022) Probabilistic Global Seismic Damage Analysis Based on a Novel Factor Mapping Method. In: Advances in Reliability and Safety Assessment for Critical Systems -, 10 - 12 March 2022, Chennai, pp. 229-241.
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The probabilistic characterization of global seismic damage measures in randomly parametered inelastic steel building frames is considered. The problem of determining global response sensitivity indices (GRSIs) associated with different input random variables with respect to the variability in the damage measures is studied. The study employs the factor mapping method to tackle this question. The study focuses on establishing relative importance measures of groups of input random variables with respect to response measures such as the modified Park-Ang index and maximum inter-story drift ratio. The implementation of the factor mapping method requires the estimation of the distance between two groups of dependent and non-Gaussian random variables. The study proposes the application of copula-based models and models based on independent component analysis to estimate these distances. Numerical illustrations on an inelastic 4-storey and 3-bay moment resisting steel frame are presented, and the most influential random variables making notable contributions to variability in the global damage index are identified. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
| Item Type: | Conference Paper |
|---|---|
| Publication: | Lecture Notes in Mechanical Engineering |
| Publisher: | Springer Science and Business Media Deutschland GmbH |
| Additional Information: | The copyright for this article belongs to Springer Science and Business Media Deutschland GmbH. |
| Keywords: | Damage detection; Factor analysis; Mapping; Parks; Random variables; Seismology; Structural analysis, Bhattacharyya distance; Copula; Damage measure; Factor mapping; Factor mapping method; Global damage; Independent components analysis; Mapping method; Probabilistics; Seismic global damage measure, Independent component analysis |
| Department/Centre: | Division of Mechanical Sciences > Civil Engineering |
| Date Deposited: | 21 Dec 2023 10:04 |
| Last Modified: | 21 Dec 2023 10:04 |
| URI: | https://eprints.iisc.ac.in/id/eprint/83549 |
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