The consortium of 7 partners will involve students and professors in seismic risk research, damage prediction and testing of new recycled
building materials by using digital tools and ML to strengthen capacity in
work, research and teaching and to educate for sustainable development.
The backbone of activity is virtual and combined cooperation with the
usage of IT tools and active involvement of all stakeholders from the
public and private sectors in dissemination. During 36 months, data will be collected from databases and in situ via digital maps in several countries. Various scenarios, reports, guidelines and measures will be created through digital tools, machine learning and artificial intelligence. Laboratory tests of recycled const. material –bio mortar, bricks from Petrinja and demolished buildings from Turkey. Education through webinars, new and updated courses. Networking will be established with stakeholders within and cross-sector. Presentation of research results will be implemented in all partner institutions.
Implementation of activities will result in developed IT tool and 52500 building characteristics will be collected. Models for prediction will be created and a Machine Learning Module implemented. Report of Predominant typologies of buildings, Priority index of building damage, Vulnerability predictions, application of biomortar, use of composites with recycled bricks will be developed. The vulnerability scenario for 3 levels of earthquake intensity will be developed and 10 webinars will be published. Within duration of project 600 students and 20 teachers will be educated. Consortium will create total of 3 new courses and 12 will be amended.

https://im4stem.eu/en/home/




Contact person: Prof. dr Borko Bulajić
Period of realization: 2023-2026
ID: 2023-1-HR01-KA220-HED-000165929