The Transactions of the Korean Institute of Electrical Engineers A (대한전기학회논문지:전력기술부문A)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

Pattern Classification of the Strength of Concrete by Feature Parameters and Evidence Accumulation of Ultrasonic Signal

초음파신호의 특징 파라메터 및 증거축적 방법을 이용한 콘크리트 강도 분류

  • Published : 1999.10.01
Download PDF
⟨ Previous Next ⟩

Abstract

This paper presents concrete pattern recognition method to identify the strength of concrete by evidence accumulation with multiple parameters based on artificial intelligence techniques. At first, zero-crossing(ZCR), mean frequency(MEANF), median frequency(MEDF) and autoregressive model coefficient(ARC) are extracted as feature parameters from ultrasonic signal of concrete. Pattern recognition is carried out through the evidence accumulation procedure using distance measured with reference parameters. A fuzzy mapping function is designed to transform the distances for the application of the evidence accumulation method. Results are presented to support the feasibility of the suggested approach for concrete pattern recognition.

Keywords

References

  1. Ultrasonic Testing of Materials W. Grabendorfer;M. Grogor
  2. the correlation of compressive strength with the velocity of sound propagation through concrete R. A. Muenow
  3. PUNDIT manual for use with the portable ultrasonic nondestructive digital indicating tester Mark Ⅳ C. N. S. Electronics Ltd.
  4. Ultrasonice ; theory and application G. L. Gooberman
  5. Properties of concrete A. M. Neville
  6. Magazine of concrete research v.32 no.110 Practical use of ultrasonic pulse velocity measurements in assessment of concrete quality Tomsett, H. N.
  7. Non-destructive Testing of Concrete R. H. Elvery;J. A. Forrester
  8. Estimating Strength of Concrete in Structures R. H. Elvery
  9. The Ultrasonic Pulse Velocity Method of Test for Concrete in Structures H. N.Temset
  10. Ultrasonics International Conference Development of ultrasonic methods for the nondestructive inspection of concrete T. N. Claptor;W. A. Ellingson
  11. Proc. Int. Conf. on In Situ/NDT Testing of Concrete Laboratory study of flaw detection in concrete by the pulse-echo method N. J. Carino
  12. Proc. of Microcomputer Application Conf. Crack detection measurements in concrete P. Daponte;R. S. Olivito
  13. Advances in signal processing for nondestructive evaluation of materials X. P. Maldague
  14. 신호처리합동학술대회 v.9 no.1 콘크리트부재의 정량적 해석을 위한 초음파신호처리 김세동;이진;이영석;김성환
  15. 초음파법에 의한 콘크리트 압축강도 평가방법에 의한 연구 김세동;이진;이영석;김성환
  16. IEEE trans. Automation Control v.5 Estimation of Power Spectra with Finite-order Autoregressive Models W. Gersch;D. R. Sharpe
  17. Annals Inst. Statis. Math. v.21 Fitting Autoregressive models for prediction H. Akaike
  18. Optimum signal processing : An Introduction S. J. Orfanidis
  19. Advances in the Dempster-Shafer Theory of Evidence Yager R. R.;Fedrizzi M.;Kacprzyk J.
  20. Dempster-Shafer Theory of Evidence. Rule-Based Expert systems Gordon J.;Shortliffe E. H.
  21. IEEE Transactions on Rehabilitation Eng. v.6 no.4 EMG Pattern Recognition Based on Artificial Intelligence Techniques Sang-Hui Park;Seok-Pil Lee