Next Article in Journal
Collagen/Polyethylene Oxide Nanofibrous Membranes with Improved Hemostasis and Cytocompatibility for Wound Dressing
Next Article in Special Issue
Acoustic Emission Monitoring of Industrial Facilities under Static and Cyclic Loading
Previous Article in Journal
Degradation Classification of 3D Printing Thermoplastics Using Fourier Transform Infrared Spectroscopy and Artificial Neural Networks
Previous Article in Special Issue
Time Series Analysis of Acoustic Emissions in the Asinelli Tower during Local Seismic Activity
Open AccessArticle

Structural Reliability Prediction Using Acoustic Emission-Based Modeling of Fatigue Crack Growth

Center for Risk and Reliability, University of Maryland, College Park, MD 20742, USA
*
Author to whom correspondence should be addressed.
Appl. Sci. 2018, 8(8), 1225; https://doi.org/10.3390/app8081225
Received: 29 May 2018 / Revised: 19 July 2018 / Accepted: 23 July 2018 / Published: 25 July 2018
In this paper, AE signals collected during fatigue crack-growth of aluminum and titanium alloys (Al7075-T6 and Ti-6Al-4V) were analyzed and compared. Both the aluminum and titanium alloys used in this study are prevalent materials in aerospace structures, which prompted this current investigation. The effect of different loading conditions and loading frequencies on a proposed AE-based crack-growth model were studied. The results suggest that the linear model used to relate AE and crack growth is independent of the loading condition and loading frequency. Also, the model initially developed for the aluminum alloy proves to hold true for the titanium alloy while, as expected, the model parameters are material dependent. The model parameters and their distributions were estimated using a Bayesian regression technique. The proposed model was developed and validated based on post processing and Bayesian analysis of experimental data. View Full-Text
Keywords: reliability; acoustic emission; structural integrity; crack growth; fatigue life prediction; uncertainty analysis; nondestructive testing reliability; acoustic emission; structural integrity; crack growth; fatigue life prediction; uncertainty analysis; nondestructive testing
Show Figures

Figure 1

MDPI and ACS Style

Keshtgar, A.; Sauerbrunn, C.M.; Modarres, M. Structural Reliability Prediction Using Acoustic Emission-Based Modeling of Fatigue Crack Growth. Appl. Sci. 2018, 8, 1225.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop