Antonio Pio Sberna
A genetic algorithm-based framework for the optimal seismic retrofitting of reinforced concrete buildings by steel-jacketing.
Rel. Fabio Di Trapani, Giuseppe Carlo Marano. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Civile, 2020
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Abstract
A large amount of buildings and infrastructures in the world are reinforced concrete (RC) frame structures designed prior to the entry into force of seismic guidelines and seismic detailing rules. Seismic risk associated with these structures is significant due to their low lateral load-carrying capacity and insufficient ductility. In particular, RC columns play a critical role to the seismic performance, being the location of most of the structural deficiencies (poor concrete, inadequate transverse reinforcement, lack of seismic details). One of the extensively used retrofitting technique for columns is the steel-jacketing. It consists of the installation of a cage made of steel angles and battens providing additional confinement and transverse reinforcement to the RC elements,and compensating their ductility lack.
The main issues that structural engineers face in the design of this kind of interventions regard the determination of the position and the amount of the retrofitting to exploit the maximum effect, reducing costs and invasiveness of the intervention
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