MTA-BME Research Group

Prediction and design of the failure of composites

Project ID:
OTKA FK 142540
Supported by:
Hungarian National Research, Development and Innovation Office (NKFIH)
1 October 2022 - 30 September 2026
Contracted amount of funding:
41 966 000
Supervisor (BME):
Dr. Gábor Szebényi
Participant researchers (BME):
Dr. Szebényi Gábor

Project summary

Research on polymer composites has so far mainly focused on increasing strength, maybe modifying behaviour in the elastic material range. In the present project, we aim to open a new research direction by applying novel methods to engineer the ultimate failure of composites, mainly by locally modifying the fiber-matrix interfacial adhesion. In addition, we plan to develop a measurement system based on surface strain measurements under low loads to predict the residual strength and the expected load capacity of composites in a non-destructive way, even for large parts. Using the collected data, we develop an artificial neural network-based expert system that can help to design a predictable failure mode and can predict the expected residual strength of structures based on baseline measurement data.

Project results

Section 1
1 October 2022 - 30 September 2023

Section 2
1 October 2023 - 30 September 2024

Section 3
1 October 2024 - 30 September 2025

Section 4
1 October 2025 - 30 September 2026

© 2014 BME Department of Polymer Engineering - Created by: Dr. Romhány Gábor