HUN-REN-BME Research Group

Prediction and design of the failure of composites

Project ID:
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. Gábor Szebényi
Gergő Zsolt Marton
Prof. Dr. Andrea Toldy
Dr. Gergely Czél
Dr. Ákos Pomázi

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
In the first year of the project, we reviewed the relevant literature and assessed through our industrial contacts the relevant components subject to delamination damage in industry and their loading cases. We developed a technique to create well-defined artificial delamination on carbon fibre reinforced composites. Acoustic emission method has been used to start collecting data for the development of a delamination map.
Damage of a carbon fiber reinforced composites around controlled delamination zones

Section 2
1 October 2023 - 30 September 2024

Section 3
1 October 2024 - 30 September 2025

Section 4
1 October 2025 - 30 September 2026

Project-related publications

  1. Hliva V., Szebényi G.: Non-Destructive Evaluation and Damage Determination of Fiber-Reinforced Composites by Digital Image Correlation. Journal of Nondestructive Evaluation, 42, 43/1-43/15 (2023) 10.1007/s10921-023-00957-7

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