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Models for Strength Prediction of High-Porosity Cast-In-Situ Foamed Concrete
Joint Authors
Huang, Junjie
Su, Qian
Liu, Ting
Zhao, Wenhui
Source
Advances in Materials Science and Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-26
Country of Publication
Egypt
No. of Pages
10
Abstract EN
A study was undertaken to develop a prediction model of compressive strength for three types of high-porosity cast-in-situ foamed concrete (cement mix, cement-fly ash mix, and cement-sand mix) with dry densities of less than 700 kg/m3.
The model is an extension of Balshin’s model and takes into account the hydration ratio of the raw materials, in which the water/cement ratio was a constant for the entire construction period for a certain casting density.
The results show that the measured porosity is slightly lower than the theoretical porosity due to few inaccessible pores.
The compressive strength increases exponentially with the increase in the ratio of the dry density to the solid density and increases with the curing time following the composite function A2lntB2 for all three types of foamed concrete.
Based on the results that the compressive strength changes with the porosity and the curing time, a prediction model taking into account the mix constitution, curing time, and porosity is developed.
A simple prediction model is put forward when no experimental data are available.
American Psychological Association (APA)
Zhao, Wenhui& Huang, Junjie& Su, Qian& Liu, Ting. 2018. Models for Strength Prediction of High-Porosity Cast-In-Situ Foamed Concrete. Advances in Materials Science and Engineering،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1120545
Modern Language Association (MLA)
Zhao, Wenhui…[et al.]. Models for Strength Prediction of High-Porosity Cast-In-Situ Foamed Concrete. Advances in Materials Science and Engineering No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1120545
American Medical Association (AMA)
Zhao, Wenhui& Huang, Junjie& Su, Qian& Liu, Ting. Models for Strength Prediction of High-Porosity Cast-In-Situ Foamed Concrete. Advances in Materials Science and Engineering. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1120545
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1120545