Fatigue damage analysis of pultruded glass fiber reinforced materials with acoustic emission methods.

Crivelli, Davide ORCID: https://orcid.org/0000-0002-1573-5726, Guagliano, Mario, Marangoni, Daniele and Monici, Alberto 2010. Fatigue damage analysis of pultruded glass fiber reinforced materials with acoustic emission methods. Presented at: EWGAE 2010, Vienna, Austria, 8-10 September 2010. Proceedings of EWGAE 2010.

Full text not available from this repository.

Abstract

Pultrusion is a process for manufacturing constant-secti on composite profiles. This technology allows to make parts through a matrix extrusion process, where the fibers are pulled; this allows a good alignment of the fiber before the matrix polymerizes. It is also a cost-effective and highly automated process. The material also allows a good rigidity/weight and strength/weight ratio. These features allowed to extend the field of use of the se materials also to civil structures, as bridges, industrial sheds and anti-noise panels. However,the proliferation of these applications is delayed by the limited knowledge on fatigue strength and damage modes of these materials. For these reasons, an experimental study on pultruded materials has been developed. A traditional fatigue testing plan was supported by acoustic emission testing. Each specimen was monitored through all the test, recording acoustic emission events. It was also possible to localize events and to predict failure position thanks to the use of multiple sensors. Based on localization, it was possible to follow the damage evolution and to appreciate the accuracy of the measurements carried out by AE. A 3D a tomography of a part of the damaged specimen was made, making possible to correlate acoustic emission features (such as energy and amplitude) to damage modes (fiber or matrix failure, fiber slipping and delamination). Some structural monitoring criteria based on acoustic emis sion are also proposed. This allows to perform in-situ tests and to reduce non-operative times due to inspections if a failure is detected: the localization methods may allow to use more precise testing methods in the possible area of failure.

Item Type:	Conference or Workshop Item (Paper)
Status:	Published
Schools:	Engineering
Subjects:	T Technology > T Technology (General)
Last Modified:	31 Oct 2022 10:17
URI:	https://orca.cardiff.ac.uk/id/eprint/84264

Citation Data

Actions (repository staff only)

Edit Item