Chapter 49. Acoustic Emission Characterization of the Fracture Mechanisms of a Glass-Matrix Composite
- John B. Wachtman Jr
Published Online: 28 MAR 2008
Copyright © 1991 The American Ceramic Society, Inc.
Proceedings of the 15th Annual Conference on Composites and Advanced Ceramic Materials, Part 1 of 2: Ceramic Engineering and Science Proceedings, Volume 12, Issue 7/8
How to Cite
Chen, O., Karandikar, P., Takeda, N., Kishi, T., Tredway, W. and Prewo, K. (2008) Acoustic Emission Characterization of the Fracture Mechanisms of a Glass-Matrix Composite, in Proceedings of the 15th Annual Conference on Composites and Advanced Ceramic Materials, Part 1 of 2: Ceramic Engineering and Science Proceedings, Volume 12, Issue 7/8 (ed J. B. Wachtman), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470313831.ch49
- Published Online: 28 MAR 2008
- Published Print: 1 JAN 1991
Print ISBN: 9780470375099
Online ISBN: 9780470313831
Acoustic emission (AE) analyses have been performed on a high compliance, high failure strain randomly oriented carbon-reinforced glass matrix composite. The composite exhibits a unique nonlinear stress-strain behavior with high failure strain during both uniaxial tensile and flexural testing. The extensive matrix cracking of this material during loading provides an excellent opportunity to study the fracture mechanism. In this study, two types of composites using similar constituents but different processing procedures resulting in different mechanical behavior were studied. This study concentrates on monitoring damage initiation and damage progression during tensile and flexural testing using acoustic emission sensors. Detailed examination of AE characterization, including cumulative AE events, event occurrence and its rate as a function of load, and amplitude distribution histograms of events at different load levels, reveals different emission activities during tensile and flexural loading conditions, indicating different fracture patterns. The examination of amplitude distributions at various loads revealed that the method is sensitive enough to distinguish various fracture processes.