Optimum Filter Based Techniques for Data Fusion

  • Yim J
  • Udpa S
  • Mina M
  • et al.
N/ACitations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In our previous studies the ultrasonic measurements have been done in the dif- ferent stages of fatigue life by stopping the mechanical test and performing the ul- trasonic measurement on a sample removed from the fatigue motion. In this paper we report the results of ongoing research and development of an ultrasonic method for in-situ fatigue damage characterization. A [0/90] SiC/Ti-15V-3Cr-3Al-3Sn metal matrix composite is considered as a model system. Cyclic loading at 50 and 70% of the ultimate sample strength were used until failure. The ultrasonic goniometer mod- ule was integrated with an MTS machine which allowed performing real-time velocity measurements during the fatigue test. Also off-line ultrasonic velocity measurements were performed. The fatigue-induced changes in elastic constants were calculated from the measured ultrasonic velocity data. For damage characterization from the experi- mentally determined reduction in effective composite moduli we developed a damage model based on the Generalized Method of Cells [10, 11]. For detailed description of our model the reader is referred to the accompanying paper [12].

Cite

CITATION STYLE

APA

Yim, J., Udpa, S. S., Mina, M., & Udpa, L. (1996). Optimum Filter Based Techniques for Data Fusion. In Review of Progress in Quantitative Nondestructive Evaluation (pp. 773–780). Springer US. https://doi.org/10.1007/978-1-4613-0383-1_101

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free