Risk-Based Multi-Hazard Optimization of Passsively Damped Structures Using Evolutiounary Algorithms

Abstract eng:
A new computational methodology is developed for conducting Risk-based Optimal Multi-hazard Design (ROMD) of seismic- and wind-excited structures retrofitted with passive energy dissipation (PED) devices. In addition to designing in compliance with the relevant codes of practice, it is important to consider that the performance of PED devices for reducing the structural responses depends on the type, size, and distribution of dampers. The proposed framework provides a genetic algorithm (GA) based methodology to address these optimization issues of multi-hazard design within the context of nonlinear steel frame structures. Steel buckling restrained braces, viscous fluid dampers and solid viscoelastic dampers are all considered as possible design alternatives within this framework. In the proposed algorithm, passively damped structural designs evolve toward configurations that limit damage associated with inter-story drift and absolute floor acceleration, while considering essential conflicts in dynamic response demands of the structures under multi-hazard environments, involving earthquakes and strong windstorms. Unlike previous work in PED optimization, the ROMD approach compares the life cycle costs and benefits of the alternative design or retrofit strategies using an optimization criterion that reflects physical and economical uncertainties, as well as the attitudes of decision makers through the

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