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http://cyberleninka.ru/article...
Article . 2016
Data sources: CyberLeninka - Russian open access scientific library
Claim

Самоуплотняющиеся бетоны на песке оптимального зернового состава

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2016 Russian Publisher:Общество с ограниченной ответственностью «Омега сайнс»Journal:Символ науки (issn: 2410-700X, Copyright policy )

Самоуплотняющиеся бетоны на песке оптимального зернового состава

Abstract

Рассмотрено влияния фракционирования песка на свойства самоуплотняющегося бетона. Показано что, при оптимальном соотношении фракций песка возможно повышение прочности более чем на 50%, так как происходит снижение воздухововлечения и расхода воды.

Keywords

САМОУПЛОТНЯЮЩИЕСЯ БЕТОНЫ,ЗЕРНОВОЙ СОСТАВ,ПРОЧНОСТЬ

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average