In this paper, we study reduced order modeling of dynamic structural systems through the proper orthogonal decomposition (POD) technique. Principal component analysis is adopted to generate the reduced space, where the equations of motion of the system are projected onto. Numerical results concerning the Pirelli Tower in Milan, excited by an earthquake, are shown to get insights into the capability and efficiency of the proposed methodology.
POD-based reduced order modeling of dynamic systems
EFTEKHAR AZAM, SAEED;MARIANI, STEFANO
2011-01-01
Abstract
In this paper, we study reduced order modeling of dynamic structural systems through the proper orthogonal decomposition (POD) technique. Principal component analysis is adopted to generate the reduced space, where the equations of motion of the system are projected onto. Numerical results concerning the Pirelli Tower in Milan, excited by an earthquake, are shown to get insights into the capability and efficiency of the proposed methodology.File in questo prodotto:
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