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Multi-hazard stochastic response assessment of base-isolated buildings.
- Source :
-
Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance . 2024, Vol. 20 Issue 3, p301-325. 25p. - Publication Year :
- 2024
-
Abstract
- The stochastic response of multi-story buildings isolated by laminated rubber bearing (LRB), lead-rubber bearing (N-Z system), friction pendulum system (FPS), and resilient-friction base isolator (R-FBI) is investigated under the independent multi-hazard scenario of earthquake ground motion (EQGM), wind load (WL), and blast-induced ground motion (BIGM), which are considered as uncertain inputs. A polynomial regression-based Monte Carlo simulation (PRBMCS) is proposed to enable computationally efficient fragility assessment of base-isolated buildings. The suitability of the PRBMCS for stochastic assessment of the base-isolated buildings is compared with the conventional Monte Carlo simulation (MCS), response surface method (RSM) and Cloud analysis. The fragility curves obtained using the PRBMCS are in good agreement with that of the MCS relatively. The study includes: the effects of the characteristic parameters of the four base isolators on the fragility of the base-isolated buildings under the three hazards; influence of the extent of uncertainty in the excitations; and comparison of fragilities of the base-isolated and fixed-base buildings. Notably, the influences of characteristic parameters of the isolators on the fragility of the base-isolated buildings are different under the three hazards. The differences in the stochastic behaviour under the different hazards could have contradictory influences on the selection of isolation parameters. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MONTE Carlo method
*GROUND motion
*WIND pressure
*RUBBER bearings
*EARTHQUAKES
Subjects
Details
- Language :
- English
- ISSN :
- 15732479
- Volume :
- 20
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance
- Publication Type :
- Academic Journal
- Accession number :
- 174879887
- Full Text :
- https://doi.org/10.1080/15732479.2022.2088812