SIRMA concept is at the cutting edge of the adoption of predictive maintenance, thus demonstrating the synergic integration of new cost-effective big data monitoring approaches (multiplatform remote sensing and crowdsourcing).
SIRMA concept is at the cutting edge of the adoption of predictive maintenance, thus demonstrating the synergic integration of new cost-effective big data monitoring approaches (multiplatform remote sensing and crowdsourcing). SIRMA will apply and develop methods at the level of the transportation network itself, assessing the interaction between the hazard and the transportation network. SIRMA’s core is on long-term recovery and risk mitigation to reduce maintenance and retrofitting costs.
This objective will be obtained by adjusting existing deterministic models of infrastructure resilience under current climate, with probabilistic models taking into account the uncertainties of future climate and change on the land use and how it affects hazard impact on individual mode components. Probabilistic models will allow for a better adaptation of infrastructure to climate change and consider the uncertainties to develop adequate predictive policies and planning tools to reduce risks of hazards.
For the short-term response and emergency management, SIRMA will provide a fast and improved prediction of multi- hazards. These objectives combined with the synergies between partners will provide an added value to the project mainly concerning:
- (i) Atlantic area dynamic map with critical transportation infrastructure for different hazards types, based on vulnerability indicators, addressing climate change scenarios allowing for a better, more precise and more reliable decision making process;
- (ii) Methodology for integrating sensoring infrastructure data into performance indicators quantification, and consequently on performance predictive models;
- (iii) Advanced risk-based forecasting models which address infrastructure performance and consequences (direct and indirect);
- (iv) Database with identification of effects and costs (direct and indirect) of risk mitigation measures;
- (v) Resilience-based decision-making framework which allows to identify the optimal risk mitigation plan;
- (vi) Influencing EU decision making bodies on bridge maintenance management like Infra-struct;
- (vii) Contribution to the ongoing activities of CEN TC250 WG2 on assessment of existing structures.