Two limiting lines technique to obtain minimum paste demand of self-consolidating concrete
Authors:
- Maciej Urban
Abstract
Today, one of the most important challenges of self-consolidating concrete (SCC) technology is minimization of cement paste content. Unfortunately, there are no methods that include this important criterion. The author aimed to fill this gap by determining the relative thickness of excess paste on aggregate grains parameter (t(rel)). This parameter is linearly correlated to minimal paste content needed to obtain a given SCC consistency level (V-paste min). Two such lines were recognized: minimum paste demand line and minimum relative thickness of excess paste line. The main parameters influencing obtaining these lines are: sand to total aggregate ratio (s/a), void content in a loose state (nu(l)), the coarsest fraction content, water-binder ratio (w/b), superplasticizer content, and aggregate fines content (or, alternatively, stone powder content). The proposed design procedure begins with assessment of both lines (using only four to six trial batches of extreme compositions in consideration). Next, the lines are used to predict the V-paste min level by simple calculation of t(rel) for a given SCC composition.
- Record ID
- CUT334a65ff517249e68b7dc5f75f512198
- Publication categories
- ;
- Author
- Journal series
- ACI Materials Journal, ISSN 0889-325X, e-ISSN 1944-737X, Bimonthly
- Issue year
- 2019
- Vol
- 116
- No
- 6
- Pages
- 131-138
- Article number
- 116-M102
- Other elements of collation
- tab.; wykr.; Bibliografia (na s.) - 137-138; Bibliografia (liczba pozycji) - 22; Oznaczenie streszczenia - Streszcz. ang.; Numeracja w czasopiśmie - Vol. 116, No. 6
- Keywords in English
- minimum paste content, self-consolidating concrete (SCC) composition design, SCC, thickness of excess paste on aggregate grains
- DOI
- DOI:10.14359/51716984 Opening in a new tab
- URL
- https://www.concrete.org/publications/internationalconcreteabstractsportal.aspx?m=details&ID=51716984 Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 70
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT334a65ff517249e68b7dc5f75f512198/
- URN
urn:pkr-prod:CUT334a65ff517249e68b7dc5f75f512198
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.