The ANCRiSST is a consortium that has been created with the purpose of assessing current progress of smart materials and structures technology and developing synergies among researchers in various disciplines from different countries that will facilitate joint research projects that cannot be easily carried out by the individual centers. It was established in 2002 and currently consists of 20 research Institutions. From October 2011 they opened for researchers in the Structural Health Monitoring community a benchmark problem based on a real bridge in order to assess the current progress on damage detection and identification methods on a full-scale example. The dataset includes vibration data before and after the bridge was damaged. This paper presents the results of the structural identification of the bridge obtained by the authors on the base of the public available data. The identification has been carried out in the frequency domain in the undamaged and damaged conditions. The results obtained in both situations and are compared to with a Finite Element model of the undamaged structure.
Structural identification of the cable stayed bridge of the ANCRiSST SHM benchmark problem / Arangio, Stefania; Mannucci, S.; Bontempi, Franco. - CD-ROM. - 1:(2013), pp. 1807-1813. (Intervento presentato al convegno ICOSSAR - 11th International Conference on Structural Safety & Reliability tenutosi a New York nel June 16-20).
Structural identification of the cable stayed bridge of the ANCRiSST SHM benchmark problem
ARANGIO, Stefania;BONTEMPI, Franco
2013
Abstract
The ANCRiSST is a consortium that has been created with the purpose of assessing current progress of smart materials and structures technology and developing synergies among researchers in various disciplines from different countries that will facilitate joint research projects that cannot be easily carried out by the individual centers. It was established in 2002 and currently consists of 20 research Institutions. From October 2011 they opened for researchers in the Structural Health Monitoring community a benchmark problem based on a real bridge in order to assess the current progress on damage detection and identification methods on a full-scale example. The dataset includes vibration data before and after the bridge was damaged. This paper presents the results of the structural identification of the bridge obtained by the authors on the base of the public available data. The identification has been carried out in the frequency domain in the undamaged and damaged conditions. The results obtained in both situations and are compared to with a Finite Element model of the undamaged structure.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.