Retrofitting of existing reinforced concrete (RC) frame structures by steel angles and battens (steel-jacketing) is a commonly employed technique used to retrofit beams and columns against gravity and seismic loads. Steel-jacketing (SJ) effectively provides additional deformation and strength capacity to RC members but its application is associated with noticeable downtime of the building and non-negligible costs, depending on the amount of structural and non-structural manufacturing and materials. This paper presents an optimization framework aimed at the minimization of seismic retrofitting-related costs by an optimal placement (topological optimization) and amount of steel-jacketing reinforcement. In the proposed framework a 3D RC frame fiber-section model implemented in OpenSees is handled by a genetic algorithm routine that iterates reinforcement configurations to match the optimal solution. The feasibility of each solution is controlled by the outcomes of a static pushover analysis in the framework of N2 method. Results will provide optimized location and amount of steel-jacketing reinforcement, showing how effective and sustainable reduction of retrofitting costs is achievable maintaining a specified safety level.
Optimal seismic retrofitting of reinforced concrete buildings by steel-jacketing using a genetic algorithm-based framework / Di Trapani, F.; Malavisi, M.; Marano, G. C.; Sberna, A. P.; Greco, R.. - In: ENGINEERING STRUCTURES. - ISSN 0141-0296. - STAMPA. - 219(2020), p. 110864.
|Titolo:||Optimal seismic retrofitting of reinforced concrete buildings by steel-jacketing using a genetic algorithm-based framework|
|Data di pubblicazione:||2020|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1016/j.engstruct.2020.110864|
|Appare nelle tipologie:||1.1 Articolo in rivista|