As part of the 2025 Science Festival, which took place from April 22 to 26 under the theme “NETWORKS ”, members of the IM4StEM project team presented research results related to the application of neural networks in civil engineering, with a focus on earthquake resilience, sustainability and data processing in the context of risk management.
The Science Festival, which has been held in Croatia without interruption since 2003, aims to bring science closer to the general public, to inspire young people for research and to strengthen public awareness of scientific activities and their social significance. This year’s theme, “NETWORKS ”, was interpreted by the IM4StEM team through technological and scientific networks that enable advanced risk analysis and the development of sustainable solutions in construction.
The poster entitled “Neural Networks in Civil Engineering ” was presented by Petra Pejić, Josip Radić, Emmanuel Karlo Nyarko and Prof. Marijana Hadzima-Nyarko, PhD and covered a range of applications of artificial intelligence and machine learning in the field of earthquake engineering:
- Automatic classification of building damage after earthquakes using convolutional neural networks (CNNs)
- Vulnerability assessment of urban areas using multilayer perceptron networks (MLPs)
- Predicting the properties of building materials, including the compressive strength of recycled concrete and brick masonry
- Real-time structural monitoring through the integration of sensor data and AI-based predictions
- Earthquake risk assessment with recurrent (RNN) and graphical neural networks (GNNs)
These technologies, developed as part of the IM4StEM project (2023-1-HR01-KA220-HED-000165929), enable the integration of large amounts of seismic and structural data with the aim of developing tools for sustainable design, damage assessment and the optimization of materials and structures in earthquake-prone areas.
Through its participation in the Science Festival, the IM4StEM project has further promoted the importance of artificial intelligence, interdisciplinary collaboration and green building as key elements for the future resilience of the built environment.
