The identification of hysteretic degrading systems exposed to nonstationary loading is a paramount research topic, especially in the case of structures subjected to ground motion excitations. In this paper, the data recorded by a masonry building are used to assess its seismic damage. To better assess the mechanical characterization of the damage, a parametric non-linear identification is performed. To this aim, a Bouc-Wen type multiple oscillator model is adopted. Starting from the results of the calibration process a damage index based on the degrading stiffness matrix is defined.

Non-Linear Identification of the Seismic Damage in a Masonry Building from Dynamic Response Records / Lenticchia, Erica; Miraglia, Gaetano; Morgantini, Marcello; Pecorelli, MARICA LEONARDA; Surace, Cecilia; Ceravolo, Rosario; Betti, Raimondo. - ELETTRONICO. - Proc. 9th International Conference of Structural Health Monitoring of Intelligent Infrastructure (SHMII-9):(2019). ((Intervento presentato al convegno 9th International Conference of Structural Health Monitoring of Intelligent Infrastructure (SHMII-9) tenutosi a St. Louis, Missouri USA nel August 4-7 2019.

Non-Linear Identification of the Seismic Damage in a Masonry Building from Dynamic Response Records

Erica Lenticchia;Gaetano Miraglia;Marica Pecorelli;Cecilia Surace;Rosario Ceravolo;
2019

Abstract

The identification of hysteretic degrading systems exposed to nonstationary loading is a paramount research topic, especially in the case of structures subjected to ground motion excitations. In this paper, the data recorded by a masonry building are used to assess its seismic damage. To better assess the mechanical characterization of the damage, a parametric non-linear identification is performed. To this aim, a Bouc-Wen type multiple oscillator model is adopted. Starting from the results of the calibration process a damage index based on the degrading stiffness matrix is defined.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2751092
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