Title :
Structural damage detection of nuclear reactor sites using sensor networks
Author :
Munavalli, Sainath Chidambar ; Pissinou, Niki ; Lagos, Leonel E. ; Xinyu Jin
Author_Institution :
Florida Int. Univ., Miami, FL, USA
Abstract :
Civil structures undergo many physical loads and environmental effects which can cause damage. Failing to identify the damage may lead to irreparable property and life loss. Thus, investments and efforts are being taken to develop an efficient structural health monitoring (SHM) technology. The objective of this research was to implement an embedded thermocouple sensor network under controlled and variable conditions to assess the location of the damage inside the structure. In this study, a civil structure embedded with thermocouple sensors at 4 different levels was analyzed with statistical tools to detect possible damage locations. This research is the first to implement a statistical pattern recognition methodology to detect damage in nuclear structures.
Keywords :
condition monitoring; failure analysis; pattern recognition; structural engineering computing; thermocouples; SHM; civil structures; condition assessment; damage locations; embedded thermocouple sensor network; failure identification; nuclear reactor sites; statistical pattern recognition methodology; structural damage detection; structural health monitoring; Analysis of variance; Concrete; Data analysis; Monitoring; Temperature distribution; Temperature measurement; Temperature sensors; Damage Detection; In-Situ Decommissioning; Sensor network; Structural Health Monitoring;
Conference_Titel :
SENSORS, 2013 IEEE
Conference_Location :
Baltimore, MD
DOI :
10.1109/ICSENS.2013.6688473