Details
- ERC sector
- PE8 - Products and Processes Engineering
- ERC subsector
- PE8 - Products and Processes Engineering
- Project start date
- CUP
- D53D23003610006
- Financial support received
- €70.150,00
FAIL-SAFE: near-real-time perFormance Assessment of exIsting buiLdings Subjected to initiAl Failure through multi-scalE simulation and structural health monitoring
Description and purpose
The FAIL-SAFE project aims to develop a methodology for the near real-time (NRT) performance assessment of existing reinforced concrete and masonry buildings, using a multi-scale approach that starts from individual buildings (UNIPR) and extends up to the urban scale. This methodology is based on multi-level numerical simulations and structural robustness assessments, which will be integrated with structural health monitoring and surrogate modeling.
Purpose
The FAIL-SAFE project aims to evaluate the structural performance of existing reinforced concrete and masonry buildings by integrating numerical simulations with structural health monitoring. The main goal of the project is to develop a robust methodology and physics-based mathematical models to support stakeholders in the decision-making process following the appearance of a structural damage in a building, with particular emphasis on the assessment of the building’s residual structural safety.
Expected results
The activities aim to develop rapid warning systems to be deployed in the event of structural damage to existing buildings. To this end, typological structural and fragility models will be developed, enabling the assessment of residual structural safety in relation to building typology and observed damage. These models can subsequently be updated using monitoring data and scaled up with surrogate modeling techniques.
Achieved results
Typological numerical models have been developed for some selected structural archetypes that are representative of the urban building stock, by considering the most common types of structural damage (such as foundation settlements and material degradation over time). These models allow to correlate mechanical and kinematic parameters, which can be measured in situ through structural health monitoring systems, with the exceedance of predefined damage thresholds, and therefore their results can effectively support structural diagnosis and predictive risk management.
Scientific director
Modified on