Experimental Study and Modeling of Concrete Containing AOD Steel Slag for Pavements
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RESEARCH ARTICLE-CIVIL ENGINEERING
Experimental Study and Modeling of Concrete Containing AOD Steel Slag for Pavements Tanvi Gupta1
· S. N. Sachdeva1
Received: 12 October 2019 / Accepted: 5 May 2020 © King Fahd University of Petroleum & Minerals 2020
Abstract Due to increased industrialization, large amount of industrial by-products are produced every year in all parts of the world. Disposal of these often toxic wastes is the major problem faced and can potentially be solved by their use in the construction industry. The main aim of this study was to utilize the argon oxygen decarburization (AOD) steel slag (a waste product from the stainless steel industry) in the concrete mix for construction of rigid pavements. The present study evaluated various properties of concrete mixes containing 0–25% of AOD steel slag as a partial replacement of ordinary portland cement and further curing the mixes for 28, 90, 180 and 365 days. Thus, the study investigated the compressive and flexural strengths, abrasion resistance, resistance to acid attack and resistance to sulfate attack of concrete mixes. Further, scanning electron microscope, energy-dispersive X-ray spectroscopy and toxicity characteristic leaching potential (TCLP) analyses were also conducted to study the micro-structural properties and leaching characteristics of steel slag mixed concrete. Compressive and flexural strength showed the positive results as the curing period of the specimens increased. Durability properties were less affected by the addition of AOD steel slag. TCLP analysis revealed that the toxicity of steel slag concrete was found within the permissible limits as compared to the raw steel slag. Further, to approximate the underlying relationship existing between the input–output data, a Legendre functional link neural network has been implemented for the prediction of compressive and flexural strengths. Keywords AOD steel slag · Durability properties · SEM and EDS · TCLP · Functional Link neural network
1 Introduction In the present scenario, the stainless steel industry is considered as the rapidly expanding sectors of the manufacturing industry in the world. In 2013, the stainless steel production was approximately 40 metric tons worldwide. During the manufacturing of stainless steel, large amounts of slag and dust are generated in the form of waste. It is estimated that the production of 3 tons of stainless steel releases approximately 1 ton of solid waste in form of slag and dust [1]. The two primary types of steel slag generated are argon oxygen decarburization (AOD) steel slag and electric arc furnace (EAF) steel slag. These days, 80% of the stainless steel slag
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Tanvi Gupta [email protected] S. N. Sachdeva [email protected]
1
Department of Civil Engineering, National Institute of Technology, Kurukshetra, India
is produced by the AOD refining process. While producing stainless steel from the iron scrap with the AOD process, approximately 270 kg of AOD slag is released at the time of production of 1 ton of stainless steel
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