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Retrofitting optimization for existing masonry / reinforced concrete buildings by means of artificial intelligene algorithms

keywords CALCESTRUZZO ARMATO, OTTIMIZZAZIONE, RETROFITTING, SISMICA, TERREMOTO, FABBRICATI

Reference persons FABIO DI TRAPANI

Thesis type NUMERICAL AND PROGRAMMING

Description The thesis identifies optimization criteria of the type and quantity of structural reinforcement (e.g. reinforced plasters, CAM, FRP) among the structural elements of masonry or reinforced concrete buildings. The optimization is aimed at maximizing the effectiveness of reinforcement with a minimization of the cost by means of evolutionary artificial intelligence algorithms (e.g. genetic algorithms). It is expected to interface FE analysis tools (OpenSees) with management and data analysis tools (Matlab).

See also  presentation.pdf 

Required skills Solid mechanichs, Structurl design, Bases of finite element modelling, Matlab


Deadline 12/06/2023      PROPONI LA TUA CANDIDATURA




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