Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Stepwise regression modeling for compressive strength of alkali-activated concrete
HighlightsCompressive strength of alkali-activated fly ash and slag concrete is tested.Effects of various mixture parameters are quantified.Predictive models for compressive strength are developed.
AbstractThis paper presents the results from a parametric experimental investigation of the compressive strength of alkali-activated concrete. The effects of curing condition (moist-cured versus heat-cured), sodium oxide dosage, silica dosage, silica modulus (relative dosage of silica to sodium), solution/binder ratio, and free water/binder ratio on the compressive strength of sodium silicate-activated fly ash and slag cement concrete are evaluated. More than 5000 specimens with 676 unique combinations of mixture proportion and curing condition were tested. The marginalized effects of each parameter indicate effects similar to those identified by previous studies. Predictive models for the compressive strength of fly ash and slag cement-based concretes are developed by stepwise regression analysis. Although the specific models presented in this paper are applicable only for the materials and activators identified herein, the modeling procedures are generalized results are of doubtless utility for the design of alkali-activated concrete mixtures.
Stepwise regression modeling for compressive strength of alkali-activated concrete
HighlightsCompressive strength of alkali-activated fly ash and slag concrete is tested.Effects of various mixture parameters are quantified.Predictive models for compressive strength are developed.
AbstractThis paper presents the results from a parametric experimental investigation of the compressive strength of alkali-activated concrete. The effects of curing condition (moist-cured versus heat-cured), sodium oxide dosage, silica dosage, silica modulus (relative dosage of silica to sodium), solution/binder ratio, and free water/binder ratio on the compressive strength of sodium silicate-activated fly ash and slag cement concrete are evaluated. More than 5000 specimens with 676 unique combinations of mixture proportion and curing condition were tested. The marginalized effects of each parameter indicate effects similar to those identified by previous studies. Predictive models for the compressive strength of fly ash and slag cement-based concretes are developed by stepwise regression analysis. Although the specific models presented in this paper are applicable only for the materials and activators identified herein, the modeling procedures are generalized results are of doubtless utility for the design of alkali-activated concrete mixtures.
Stepwise regression modeling for compressive strength of alkali-activated concrete
Thomas, R.J. (Autor:in) / Peethamparan, Sulapha (Autor:in)
Construction and Building Materials ; 141 ; 315-324
01.03.2017
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Stepwise regression modeling for compressive strength of alkali-activated concrete
| British Library Online Contents | 2017
Stepwise regression modeling for compressive strength of alkali-activated concrete
| Online Contents | 2017
Stepwise regression modeling for compressive strength of alkali-activated concrete
| British Library Online Contents | 2017
Stepwise regression modeling for compressive strength of alkali-activated concrete
| British Library Online Contents | 2017
Stepwise regression modeling for compressive strength of alkali-activated concrete
| British Library Online Contents | 2017