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文章基本信息

  • 标题:Technology For Aggregates Classification in Concrete Compounds
  • 本地全文:下载
  • 作者:Lengvinas ; Deksnys ; Ragauskas
  • 期刊名称:Studies About Languages
  • 印刷版ISSN:2029-7203
  • 出版年度:2015
  • 卷号:90
  • 期号:2
  • 页码:61-66
  • DOI:10.5755/j01.eee.90.2.10509
  • 语种:English
  • 出版社:Faculty of Humanities, Kaunas University of Technology
  • 其他摘要: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).
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