Earthquakes and Structures

Volume 19, Number 1, 2020, pages 45-57

DOI: 10.12989/eas.2020.19.1.045

Evaluation of structural operativity of two strategic buildings through Seismic Model

Dora Foti, Nicola Ivan Giannoccaro, Pierluigi Greco, Michela Lerna, Raffaele Paolicelli and Vitantonio Vacca

Abstract

This paper presents the experimental application of a new method for seismic vulnerability assessment of buildings recently introduced in literature, the SMAV (Seismic Model Ambient Vibration) methodology with reference to their operational limit state. The importance of this kind of evaluation arises from the civil protection necessity that some buildings, considered strategic for seismic emergency management, should retain their functionality also after a destructive earthquake. They do not suffer such damage as to compromise the operation within a framework of assessment of the overall capacity of the urban system. To this end, for the characterization of their operational vulnerability, a Structural Operational Index (IOPS) has been considered. In particular, the dynamic environmental vibrations of the two considered strategic buildings, the fire station and the town hall building of a small town in the South of Italy, have been monitored by positioning accelerometers in well-defined points. These measurements were processed through modern Operational Modal Analysis techniques (OMA) in order to identify natural frequencies and modal shapes. Once these parameters have been determined, the structural operational efficiency index of the buildings has been determined evaluating the seismic vulnerability of the strategic structures analyzed. his study aimed to develop a model to accurately predict the acceleration of structural systems during an earthquake.

Key Words

seismic vulnerability; operational modal analysis; equivalent linear model; structural operative index; nondestructive techniques; ambient vibrations; dynamic analysis

Address

Dora Foti, Pierluigi Greco, Michela Lerna, Raffaele Paolicelli:Dipartimento di Scienze dell