Optimization of selection process of constituent materials for high performance concrete and mortars
The paper gives coverage on approach to the optimization of selection process of constituents for high performance concrete (HPC) and mortars. There is shown the example selection of cement, mineral and chemical admixtures, as the most costly and influential on concrete, from the point of their maxi...
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
Lublin University of Technology
2015-03-01
|
Series: | Budownictwo i Architektura |
Subjects: | |
Online Access: | https://ph.pollub.pl/index.php/bia/article/view/1667 |
id |
doaj-ab8f69f52f964e13a39fc08f41a361bd |
---|---|
record_format |
Article |
spelling |
doaj-ab8f69f52f964e13a39fc08f41a361bd2020-11-25T02:59:50ZengLublin University of TechnologyBudownictwo i Architektura1899-06652544-32752015-03-0114110.35784/bud-arch.1667Optimization of selection process of constituent materials for high performance concrete and mortarsNataliya Lushnikova0Department of Architecture & Environmental Design, Educational and Research Institute of Civil Engineering and Architecture, National University of Water Management and Nature Resources Use, Rivne, UkraineThe paper gives coverage on approach to the optimization of selection process of constituents for high performance concrete (HPC) and mortars. There is shown the example selection of cement, mineral and chemical admixtures, as the most costly and influential on concrete, from the point of their maximum efficiency, measured by flowability and compressive strength increasing indexes. Method combines models for determination of activity indexes with simple stochastic equations obtained at mathematical treatment of experimental results. https://ph.pollub.pl/index.php/bia/article/view/1667high performance concretemortarchemical admixturemineral admixturesuperplasticizermetakaolin |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nataliya Lushnikova |
spellingShingle |
Nataliya Lushnikova Optimization of selection process of constituent materials for high performance concrete and mortars Budownictwo i Architektura high performance concrete mortar chemical admixture mineral admixture superplasticizer metakaolin |
author_facet |
Nataliya Lushnikova |
author_sort |
Nataliya Lushnikova |
title |
Optimization of selection process of constituent materials for high performance concrete and mortars |
title_short |
Optimization of selection process of constituent materials for high performance concrete and mortars |
title_full |
Optimization of selection process of constituent materials for high performance concrete and mortars |
title_fullStr |
Optimization of selection process of constituent materials for high performance concrete and mortars |
title_full_unstemmed |
Optimization of selection process of constituent materials for high performance concrete and mortars |
title_sort |
optimization of selection process of constituent materials for high performance concrete and mortars |
publisher |
Lublin University of Technology |
series |
Budownictwo i Architektura |
issn |
1899-0665 2544-3275 |
publishDate |
2015-03-01 |
description |
The paper gives coverage on approach to the optimization of selection process of constituents for high performance concrete (HPC) and mortars. There is shown the example selection of cement, mineral and chemical admixtures, as the most costly and influential on concrete, from the point of their maximum efficiency, measured by flowability and compressive strength increasing indexes. Method combines models for determination of activity indexes with simple stochastic equations obtained at mathematical treatment of experimental results.
|
topic |
high performance concrete mortar chemical admixture mineral admixture superplasticizer metakaolin |
url |
https://ph.pollub.pl/index.php/bia/article/view/1667 |
work_keys_str_mv |
AT nataliyalushnikova optimizationofselectionprocessofconstituentmaterialsforhighperformanceconcreteandmortars |
_version_ |
1724700839992360960 |