scholarly journals The Potential of Ladle Slag and Electric Arc Furnace Slag use in Synthesizing Alkali Activated Materials; the Influence of Curing on Mechanical Properties

Materials ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1173 ◽  
Author(s):  
Češnovar ◽  
Traven ◽  
Horvat ◽  
Ducman
Keyword(s):  
Mechanical Properties ◽  
Compressive Strength ◽  
Room Temperature ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Alkali Activation ◽  
Arc Furnace ◽  
Curing Time ◽  
Promising Alternative ◽  
Alkali Activated

Alkali activation is studied as a potential technology to produce a group of high performance building materials from industrial residues such as metallurgical slag. Namely, slags containing aluminate and silicate form a useful solid material when activated by an alkaline solution. The alkali-activated (AA) slag-based materials are promising alternative products for civil engineering sector and industrial purposes. In the present study the locally available electric arc furnace steel slag (Slag A) and the ladle furnace basic slag (Slag R) from different metallurgical industries in Slovenia were selected for alkali activation because of promising amorphous Al/Si rich content. Different mixtures of selected precursors were prepared in the Slag A/Slag R ratios 1/0, 3/1, 1/1, 1/3 and 0/1 and further activated with potassium silicate using an activator to slag ratio of 1:2 in order to select the optimal composition with respect to their mechanical properties. Bending strength of investigated samples ranged between 4 and 18 MPa, whereas compressive strength varied between 30 and 60 MPa. The optimal mixture (Slag A/Slag R = 1/1) was further used to study strength development under the influence of different curing temperatures at room temperature (R. T.), and in a heat-chamber at 50, 70 and 90 °C, and the effects of curing time for 1, 3, 7 and 28 days was furthermore studied. The influence of curing time at room temperature on the mechanical strength at an early age was found to be nearly linear. Further, it was shown that specimens cured at 70 °C for 3 days attained almost identical (bending/compressive) strength to those cured at room temperature for 28 days. Additionally, microstructure evaluation of input materials and samples cured under different conditions was performed by means of XRD, FTIR, SEM and mercury intrusion porosimetry (MIP).

Alkali activation of electric arc furnace slag: Mechanical properties and micro analyzes

2019 ◽  
Vol 21 ◽  
pp. 97-105 ◽  
Author(s):  
Murat Ozturk ◽  
Muzeyyen Balcikanli Bankir ◽  
Omer Saltuk Bolukbasi ◽  
Umur Korkut Sevim
Keyword(s):  
Mechanical Properties ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Alkali Activation ◽  
Arc Furnace ◽  
Electric Arc Furnace Slag ◽  
Furnace Slag

scholarly journals Examining the Effects of Introducing and Combining Electric-Arc Furnace Slag and Ceramic Waste in a Single Self-Consolidating, High-Strength Concrete Mix

2020 ◽  
Vol 10 (14) ◽  
pp. 4844 ◽  
Author(s):  
Sayed Mohamad Soleimani ◽  
Abdel Rahman Alaqqad ◽  
Adel Jumaah ◽  
Abdulaziz Majeed
Keyword(s):  
Compressive Strength ◽  
High Performance Concrete ◽  
Ceramic Powder ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Waste Materials ◽  
Arc Furnace ◽  
Concrete Mix ◽  
Electric Arc Furnace Slag ◽  
Furnace Slag

The purpose of this paper is to examine the effects of introducing waste materials sourced from factories in Kuwait as partial replacements of conventional concrete materials. Rejected ceramic products and unused electric-arc furnace slag were treated and partially replaced portions of coarse and fine aggregates, and the possibility of partially replacing cement was also examined. Initial results showed that all aggregate sizes can be replaced with either of the waste materials without compromising the concrete’s rheological properties or compressive strength. Additionally, pulverized ceramic powder was shown to improve the compressive strength of mortar cube samples. Finally, the two waste materials were combined in hybrid mixes that aimed to have the highest utilization of waste materials while maintaining (if not improving) the properties of a previously established benchmark self-consolidating concrete (SCC) mix. The results of this study show that waste materials sourced from landfills in Kuwait can be repurposed to replace portions of conventional construction materials in a self-consolidating, high-performance concrete mix with significantly better mechanical properties and higher compressive strength than that shown by a benchmark mix.

scholarly journals Effect of Elevated Temperatures on Mortar with Naturally Occurring Volcanic Ash and Its Blend with Electric Arc Furnace Slag

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Nauman Khurram ◽  
Kaffayatullah Khan ◽  
Muhammad Umair Saleem ◽  
Muhammad Nasir Amin ◽  
Usman Akmal
Keyword(s):  
Compressive Strength ◽  
Fly Ash ◽  
Volcanic Ash ◽  
Elevated Temperatures ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Arc Furnace ◽  
Test Results ◽  
Electric Arc Furnace Slag ◽  
Furnace Slag

The mechanical behavior of basaltic volcanic ash (VA) and fly ash (FA) as a cement replacement under elevated temperatures is mainly investigated in the current study. For this, cement content has been partially replaced with and without the presence of electric arc furnace slag (S). Four distinct ranges of temperatures (200°C, 400°C, 600°C, and 800°C) were selected, and the modified mixes were subjected to these gradually elevated temperatures. Samples were cured and cooled by using air- and water-cooling techniques. Test results were established by examining the sample weights and compressive strength before and after the exposure of each temperature level. The pozzolanic potential of volcanic ash and fly ash samples was identified using the strength activity index. After analyzing the test results, it has been found that there is a significant effect on the compressive strength of mortar mixes at the early ages of its strength gain. However, at the later ages of curing, samples modified with volcanic and fly ash with the presence of electric arc furnace slag have shown a better performance than control mix in terms of strength and weight loss.

scholarly journals COMPRESSIVE STRENGTH OF CONCRETE MADE WITH ELECTRIC ARC FURNACE SLAG AND RECYCLED GROUND GLASS AS REPLACEMENT OF COARSE AND FINE AGGREGATE

2021 ◽  
Author(s):  
Yasmin Andrea Pérez Rojas ◽  
Enrique Vera López
Keyword(s):  
Compressive Strength ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Ground Glass ◽  
Fine Aggregate ◽  
Arc Furnace ◽  
Rigid Pavements ◽  
Concrete Mixtures ◽  
Electric Arc Furnace Slag ◽  
Furnace Slag

Concrete is one of the most studied industrial products with the aim of improving its durability, strength, and workability, as well as developing innovative alternatives in its production to reduce the environmental footprint (Rivera, 2013). This research validates the use of industrial waste generated in the department of Boyacá - Colombia, within the production of concrete for the construction of rigid pavements. The research followed several stages, beginning with the physical, chemical, and mechanical characterization of the materials and the design of the standard mixture following the ACI 211 methodology. Subsequently, the 25%, 50%, 75%, and 100% of the gravel was replaced by electric arc furnace slag (EAFS), and 20, 30 and 40% of the sand by the recycled ground glass (RGG). Finally, the compressive strength of the concrete mixtures was analyzed.

An ERAFNN Prediction of Concrete Compressive Strength Based on Physical Properties of Electric Arc Furnace Oxidizing Slag

2014 ◽  
Vol 627 ◽  
pp. 111-114
Author(s):  
Li Chen ◽  
Tzu Yi Pai
Keyword(s):  
Compressive Strength ◽  
Physical Properties ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Percentage Error ◽  
Arc Furnace ◽  
Concrete Compressive Strength ◽  
Predicting Performance ◽  
Strength Based ◽  
The Mean

In this study, exact radial basis function neural network (ERBFNN) was used to predict the concrete compressive strength based on physical properties of electric arc furnace oxidizing slag. The mean absolute percentage error (MAPE) was used to evaluate the predicting performance. The results indicated the minimum MAPE of 0.08 % and 5.28 % could be achieved when training and predicting, respectively. According to the results, it revealed that ERBFNN was an efficiently tool for providing information.

Sign in / Sign up

Export Citation Format

Share Document