Publication: Publication Date: 1 May 2012Testing Method:

The purpose of this research was to predict burst pressures in composite overwrapped pressure vessels (COPVs) by using mathematically modeled acoustic emission (AE) data. Both backpropagation neural network (BPNN) and multiple linear regression (MLR) analyses were performed on various subsets of the low proof pressure AE data to predict burst pressures and to determine if the two methods were comparable. AE data were collected during hydrostatic burst testing on the 15-inch diameter COPVs. Once collected, the AE data were filtered to eliminate noise then classified into AE failure mechanism data using a MATLAB Kohonen self-organizing map (SOM). The matrix cracking only amplitude distribution data were mathematically modeled using bounded Johnson distributions with the four Johnson distribution parameters – e, k, c, and g – employed as inputs to make both the BPNN and MLR predictions. The burst pressure predictions generated using a MATLAB BPNN resulted in a worst case error of 1.997% as compared to 1.666% for the MLR analysis, suggesting comparability. However, the MLR analysis required the data from all nine COPVs to get approximately the same results as the BPNN training on just five COPVs; plus, MLR analyses are intolerant to noise, whereas BPNNs are not.

References

1. K. L. Reifsnider, E. G. Henneke, W. W. Stinchcomb, and J. C. Duke. In Mechanics of Composite Materials: Recent Advances, Z. Hashin and C. T. Herakovich (eds.), pp. 399–420 (1983). Pergamon Press, New York.

2. G. J. Hahn and S. S. Shapiro. Statistical Models in Engineering. Wiley, New York (1994).

3. D. T. Mage. Technometrics 22:247–251 (1980).

4. J. F. Slifker and S. S. Shapiro. Technometrics 22:239–246 Technometrics (1980).

5. MathWorks: MATLAB and Simulink for Technical Computing. The MathWorks, Inc. Web. Available at: http://www.mathworks.com/help/toolbox/stats/chi2gof.html. Last accessed September 10, 2010.

6. E. E. Lanzarone, E. v. K. Hill, B. K. R. Manuel, J. Iizuka, A. Stepuro, and J. L. Walker II. ASNT Fall Conference and Quality Testing Show 2010. American Society for Nondestructive Testing, Columbus, OH (2010).

7. D. R. Lendzioszek. MS thesis. Embry-Riddle Aeronautical University, Daytona Beach, FL (2002).

8. M. A. Okur. MS thesis. Embry-Riddle Aeronautical University, Daytona Beach, FL (2010).

9. S.-A. T. Dion. MS thesis. Embry-Riddle Aeronautical University, Daytona Beach, FL (2006).

10. E. v. K. Hill and J. L. Walker II. Advanced Performance Materials 3:75–83 (1996).

11. F. R. Kalloo. MS thesis. Embry-Riddle Aeronautical University, Daytona Beach, FL (1988).

12. M. Kouvarakos and E. v. K. Hill. Materials Evaluation 54:1025–1031 (1996).

13. E. v. K. Hill, S.-A. T. Dion, J. O. Karl, N. S. Spivey, and J. L. Walker II. Journal of Acoustic Emission 25:187–193 (2007).

Metrics

Usage | Shares |
---|---|

Total Views 5 Page Views |
Total Shares 0 Tweets |

5 0 PDF Downloads |
0 0 Facebook Shares |

Total Usage | |

5 |