Technology For Aggregates Classification in Concrete Compounds

Authors

  • G. Lengvinas Kaunas University of Technology
  • V. Deksnys Kaunas University of Technology
  • A. Ragauskas Kaunas University of Technology

Abstract

Increasing concrete market and growing variety of concrete products and requirements for higher quality needs fast and accurate moisture measurement technology. In this paper fast accurate and material independent moisture measurement method is presented. Time domain reflectometry (TDR) sampling method for data acquisition has been used. In order to find the relationship between materials type and spectrum curve artificial neural network classifier (ANN) has been used. 5 mixtures from two materials (sand and crashed stone) in different proportions were correctly recognized using method proposed. Experiment confirmed ability to use TDR combined with ANN in material independent moisture measurement systems. Ill. 15, bibl. 9 (in English; summaries in English, Russian and Lithuanian).

Author Biographies

G. Lengvinas, Kaunas University of Technology

V. Deksnys, Kaunas University of Technology

A. Ragauskas, Kaunas University of Technology

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Published

2009-02-01

How to Cite

Lengvinas, G., Deksnys, V., & Ragauskas, A. (2009). Technology For Aggregates Classification in Concrete Compounds. Elektronika Ir Elektrotechnika, 90(2), 61-66. Retrieved from https://eejournal.ktu.lt/index.php/elt/article/view/10509

Issue

Vol. 90 No. 2 (2009)

Section

T 170 ELECTRONICS

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