Erasmus+ Projects

Intelligent Methods for Structures, Elements and Materials ( IM4StEM)



The project "Intelligent Methods for Structures, Elements and Materials " (IM4StEM) gathers a consortium of 7 partners which will, by the involvement of students and professors in seismic risk research, damage prediction and testing of new recycled building materials using digital tools and machine learning, strengthen capacity in work, research and teaching 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 the realisation of the project, an international (freely accessible) database will be created that will contain characteristics of buildings, elements and materials collected from existing databases and in situ via digital maps in several countries. The database will not only lead to predictions in the field of earthquake risk, but will also provide a basis for future research in this field as well as in the field of earthquake protection, both in the member countries of the consortium and possibly beyond. Various scenarios, reports, guidelines and measures will be created through digital tools, machine learning and artificial intelligence. Laboratory tests of recycled construction material – bio mortar, and demolished buildings from the past earthquakes will be performed.

Implementation of activities will result in a developed IT tool and 52500 building characteristics will be collected. Models for seismic risk prediction will be created and a Machine Learning Module will be implemented. A report on the predominant typologies of buildings, the priority index of building damage, vulnerability predictions, the application of biomortar, and the use of composites with recycled bricks will be developed.

Extensive education of the students and teachers will be achieved through webinars, new and updated courses. Networking will be established with stakeholders within and cross-sector. Within the duration of the project, 600 students and 20 teachers will be educated. The consortium will create a total of 3 new courses and 12 will be amended. Through the multidisciplinary involvement of students and professors in researching earthquake risk, predicting earthquake damage and testing new recycled building materials using digital tools and machine learning, the consortium of 7 partners will strengthen capacities in work, research and teaching with the aim of education for sustainable development. Presentation of research results will be implemented in all partner institutions.

Project coordinator: University of J.J. Strossmayer in Osijek

Partner organisations: University of Split, Faculty of Civil Engineering, Architecture and Geodesy; Universidad Pablo De Olavide, Spain; Univerzitet u Novom Sadu, Serbia; Bitlis Eren Üniversitesi, Türkiye; Politechnika Wroclawska, Poland; Universitatea Transilvania Din Brasov, Romania Project number: 2023-HR01-KA220-HED-000165929

Project dates: 1.9.2023. – 31.8.2026.

Funding: Erasmus+ program, Strategic Partnerships in Higher Education Project web-site: