Unified Performance Prediction Model for Structures and Infrastructures Incorporating Diverse Monitoring Data (PREMISES)
The continuous ageing of the population of buildings and infrastructures creates an increasing need in civil engineering society for the development of methodologies and tools for the efficient monitoring of these structures to ascertain that they are still safe and capable of withstanding various environmental effects (e.g. corrosion), and potentially catastrophic events (e.g. earthquakes).
The PREMISES project aimed to develop performance prediction models, which incorporate and combine in novel way corrosion and strain data from remote periodic monitoring, for more accurate and effective appraisal of structural performance.
- Cyprus University of Technology (Cyprus)
- SignalGeneriX Ltd (Cyprus)
- Ministry of Transport, Communications and Works (Cyprus)
- Stanford University (USA)
|This project is co-funded by the Cyprus Research Promotion Foundation under the Framework Programme for Research, Technological Development and Innovation 2009-2010.|