Summary: |
The Project aims at developing an advanced online dynamic SHM system for concrete dams (demonstrator), involving the following main activities:
* To evaluate and improve the level of accuracy provided by OMA testing applied to concrete dams with different typologies and characteristics, identifying the most suitable technical requirements in terms measurement devices (sensors and digitizers), and analysing the performance and overcoming limitations of state-of-the-art stochastic modal identification techniques by developing comparisons with results achieved by accurate forced vibration tests;
* To consolidate the development of robust and innovative OMA based SHM hardware and software specifically designed for long-term monitoring of massive concrete dams, enabling the accurate online tracking of the time evolution of the most relevant dynamic properties (modal parameters), the correlation with environmental and operational factors (e.g. water level in the reservoir, temperature, turbines operation) and the statistical removal of these influences, using modal parameters changes for the evaluation of novelty indexes and application of innovative damage detection techniques;
* To implement and manage an efficient OMA based SHM system in a new Portuguese double curvature arch dam under construction (Baixo Sabor), making feasible its long-term dynamic monitoring and health condition assessment and creating a high quality data digital repository including both raw data and relevant structural information automatically extracted in a online basis;
* To develop a sophisticated experimentally calibrated numerical modelling of the dam-water-foundation system enabling to get not only a correct physical understanding of the dam structural behaviour, particularly under significant variations of the water level in the reservoir (since the first filling) and annual temperature, but also allowing the definition of appropriate alarm levels for SH |
Summary
The Project aims at developing an advanced online dynamic SHM system for concrete dams (demonstrator), involving the following main activities:
* To evaluate and improve the level of accuracy provided by OMA testing applied to concrete dams with different typologies and characteristics, identifying the most suitable technical requirements in terms measurement devices (sensors and digitizers), and analysing the performance and overcoming limitations of state-of-the-art stochastic modal identification techniques by developing comparisons with results achieved by accurate forced vibration tests;
* To consolidate the development of robust and innovative OMA based SHM hardware and software specifically designed for long-term monitoring of massive concrete dams, enabling the accurate online tracking of the time evolution of the most relevant dynamic properties (modal parameters), the correlation with environmental and operational factors (e.g. water level in the reservoir, temperature, turbines operation) and the statistical removal of these influences, using modal parameters changes for the evaluation of novelty indexes and application of innovative damage detection techniques;
* To implement and manage an efficient OMA based SHM system in a new Portuguese double curvature arch dam under construction (Baixo Sabor), making feasible its long-term dynamic monitoring and health condition assessment and creating a high quality data digital repository including both raw data and relevant structural information automatically extracted in a online basis;
* To develop a sophisticated experimentally calibrated numerical modelling of the dam-water-foundation system enabling to get not only a correct physical understanding of the dam structural behaviour, particularly under significant variations of the water level in the reservoir (since the first filling) and annual temperature, but also allowing the definition of appropriate alarm levels for SHM purposes;
* To implement these alarm levels in the dam SHM system and check the feasibility of early detecting small structural damage using the developed OMA based SHM software. |