Mr. Baikuntha Silwal Profile

Baikuntha Silwal

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Proceedings Article | 1 April 2014 Paper

Design of isolated buildings with S-FBI system subjected to near-fault earthquakes using NSGA-II algorithm

O. Ozbulut, B. Silwal

Proceedings Volume 9057, 905709 (2014) https://doi.org/10.1117/12.2045174

KEYWORDS: Shape memory alloys, Buildings, Earthquakes, Optical isolators, Performance modeling, Genetic algorithms, Optimization (mathematics), Near field, Control systems, Complex systems

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This study investigates the optimum design parameters of a superelastic friction base isolator (S-FBI) system through a multi-objective genetic algorithm and performance-based evaluation approach. The S-FBI system consists of a flat steel- PTFE sliding bearing and a superelastic NiTi shape memory alloy (SMA) device. Sliding bearing limits the transfer of shear across the isolation interface and provides damping from sliding friction. SMA device provides restoring force capability to the isolation system together with additional damping characteristics. A three-story building is modeled with S-FBI isolation system. Multiple-objective numerical optimization that simultaneously minimizes isolation-level displacements and superstructure response is carried out with a genetic algorithm (GA) in order to optimize S-FBI system. Nonlinear time history analyses of the building with S-FBI system are performed. A set of 20 near-field ground motion records are used in numerical simulations. Results show that S-FBI system successfully control response of the buildings against near-fault earthquakes without sacrificing in isolation efficacy and producing large isolation-level deformations.

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