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Response sensitivity analysis of steel frames with buckling-restrained braces

Laura Ragni, Alessandro Zona, Andrea Dall’Asta

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Abstract

This work illustrates some applications of nonlinear dynamic response sensitivity analysis to steel frame structures equipped with buckling-restrained braces (BRBs). A realistic 4-storey steel frame equipped with buckling-restrained V-bracings subjected to a set of seismic ground motions is used as benchmark problem. BRB internal core areas are assumed as sensitivity parameters and inter-storey drifts are chosen as engineering demand parameters. The worst possible combination of parameter variations is individuated and the reduction of the seismic performance as a function of the parameter variation amplitude is estimated for the benchmark problem.

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What this paper is about

This work illustrates some applications of nonlinear dynamic response sensitivity analysis to steel frame structures equipped with buckling-restrained braces (BRBs). A realistic 4-storey steel frame equipped with buckling-restrained V-bracings subjected to a set of seismic ground motions is used as benchmark problem. BRB internal core areas are assumed as sensitivity parameters and inter-storey drifts are chosen as engineering demand parameters. The worst possible combination of parameter variations is individuated and the reduction of the seismic performance as a function of the parameter variation amplitude is estimated for the benchmark problem.

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Available abstract

This work illustrates some applications of nonlinear dynamic response sensitivity analysis to steel frame structures equipped with buckling-restrained braces (BRBs). A realistic 4-storey steel frame equipped with buckling-restrained V-bracings subjected to a set of seismic ground motions is used as benchmark problem. BRB internal core areas are assumed as sensitivity parameters and inter-storey drifts are chosen as engineering demand parameters. The worst possible combination of parameter variations is individuated and the reduction of the seismic performance as a function of the parameter variation amplitude is estimated for the benchmark problem.

Key concepts: Buckling, Sensitivity (control systems), Structural engineering, Geology, Welding, Materials science, Engineering, Composite material

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