The interest about all the topics related to security and safety of people is increasing. In particular great attention is devoted to the health monitoring of large civil structures like high-rise buildings and sports arenas. Among these the Giuseppe Meazza is one of the biggest stadium in Italy and the municipality decided to develop and implement a system devoted to monitor its structural health. Since September 2007 the first portion of the system covering part of the Meazza grandstands is installed and working. At the moment about 1/5 of the structure is continuously monitored by means of vibration measurement devices. Even if only a part of the stadium is covered by the system a huge amount of data has been collected and their manual analysis by an operator is not affordable. The system should therefore guarantee an automatic detection of significant events without human supervision. Analysis of the first data has a crucial relevancy: the most significant parameters and the associated threshold levels must be established. This paper faces the first results analysis, pointing out the most significant parameters and a statistical analysis of their evolution during the first year of monitoring. © 2009 Society for Experimental Mechanics Inc.
Titolo: | One year of structural health monitoring of the Meazza Stadium in Milan: analysis of the collected data |
Autori: | |
Data di pubblicazione: | 2009 |
Serie: | |
Abstract: | The interest about all the topics related to security and safety of people is increasing. In particular great attention is devoted to the health monitoring of large civil structures like high-rise buildings and sports arenas. Among these the Giuseppe Meazza is one of the biggest stadium in Italy and the municipality decided to develop and implement a system devoted to monitor its structural health. Since September 2007 the first portion of the system covering part of the Meazza grandstands is installed and working. At the moment about 1/5 of the structure is continuously monitored by means of vibration measurement devices. Even if only a part of the stadium is covered by the system a huge amount of data has been collected and their manual analysis by an operator is not affordable. The system should therefore guarantee an automatic detection of significant events without human supervision. Analysis of the first data has a crucial relevancy: the most significant parameters and the associated threshold levels must be established. This paper faces the first results analysis, pointing out the most significant parameters and a statistical analysis of their evolution during the first year of monitoring. © 2009 Society for Experimental Mechanics Inc. |
Handle: | http://hdl.handle.net/11381/2545542 |
ISBN: | 978-160560961-4 |
Appare nelle tipologie: | 4.1b Atto convegno Volume |