Pre-demolition concrete waste stream identification

classification framework

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Abstract

Demand for high quality recycled concrete aggregates (RCA) to offset the use of primary materials is significantly rising due to circular economy goals and high-value reuse of concrete. The quality of RCA significantly affects their availability for new concrete production due to the variability of parent concrete streams. The optimization of recycling procedures is under development to improve the quality of RCA, however, the costs and energy efficiency of such processes are of practical concern. With this in mind, this paper presents a new framework for reducing the variability of RCA quality by identifying concrete members before their demolition. The goal of identifying demolished concrete members from a structure is to provide groups of concrete members with similar mechanical and chemical properties through a systematic classification of the structural members. The quality assessment of concrete structures and their mechanical and chemical (composition, contamination) properties prior to demolition is generally recognized as challenging due to the absence of guidelines and the lack of easy-to-use in situ characterization techniques. This paper proposes experimental approaches that can non-destructively determine the properties of concrete structures, with a major emphasis on the measurement of the chemical composition of concrete before demolition. Characteristic quality indicators to classify concrete members are first proposed and can be instrumental in setting up future studies. A new method is proposed for in situ chemical composition testing of existing concrete structures; assuming that no records about the parent concrete are available. Next, the challenging parameters for in situ, non-destructive measurements are outlined. The practical application of the proposed method and its uptake in industry can potentially unlock a huge potential for optimized material recovery and contribute greatly to a fully circular construction industry.