Paper
1 April 2014 Design of isolated buildings with S-FBI system subjected to near-fault earthquakes using NSGA-II algorithm
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Abstract
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
O. E. Ozbulut and B. Silwal "Design of isolated buildings with S-FBI system subjected to near-fault earthquakes using NSGA-II algorithm", Proc. SPIE 9057, Active and Passive Smart Structures and Integrated Systems 2014, 905709 (1 April 2014); https://doi.org/10.1117/12.2045174
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Cited by 1 scholarly publication.
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KEYWORDS
Shape memory alloys

Buildings

Earthquakes

Optical isolators

Performance modeling

Control systems

Genetic algorithms

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