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    Performance-Based Quality Optimization Approach for Mechanically Treated Recycled Concrete Aggregates

    Source: Journal of Materials in Civil Engineering:;2023:;Volume ( 035 ):;issue: 009::page 04023315-1
    Author:
    Amit Kumar
    ,
    Gyani Jail Singh
    ,
    Shashi Bhushan Kumar
    ,
    Rajesh Kumar
    DOI: 10.1061/JMCEE7.MTENG-15284
    Publisher: ASCE
    Abstract: This study outlines a method for identifying high-quality recycled concrete aggregate (RCA) obtained after mechanical treatment. In the present approach, the physical and mechanical properties of RCA are considered as quality parameters. As a first step, mechanically treated (Los Angeles) RCA is produced with 28 combinations of charges and drum revolutions. Twenty-eight sets of mechanically treated RCA are produced, each with different physical and mechanical properties. Furthermore, the 28 sets of RCAs are compared using the performance-based quality optimization approach. The performance index for each set of RCAs is calculated applying a multicriteria decision-making approach named “technique for order of preference by similarity to ideal solution.” This approach considers physical and mechanical properties as a response and the combination of charges and drum revolutions as alternatives to obtain the performance index of alternatives. Based on its performance, the leading rankings RCAs are selected for an experimental study to validate the methodology. As a result of RCA’s optimized quality, recycled aggregate concrete (RAC) has excellent physical, mechanical, and durability characteristics that agree with natural aggregate concrete (NAC) composed of parent aggregate. The 28- and 91-day compressive strengths of RAC exceed those of NAC by 8.5% and 30.65%, respectively. Flexural strength, split tensile strength, fracture energy, ultrasonic pulse velocity (UPV) values, rapid chloride-ion penetration test values, water absorption, and abrasion resistance are comparable with NAC. The quality optimization approach identifies RCA with superior shape, texture, and elastic properties. An RCA with optimized qualities also strengthens the new interfacial transition zone and old interfacial transition zone as well as RAC’s associated properties. The RAC’s dynamic modulus of elasticity is superior to the reported values and is 0.95 fractions of NAC. Optimized quality of RCA reduces the sorptivity of RAC compared with the reported values. The RAC may not have equivalent sorptivity to NAC without lowering RCA parts, whether mortar-attached, mortar-covered, or mortar-only type aggregate or applying other treatments that may increase the production cost. This research presents a standard procedure for identifying mechanically treated recycled concrete aggregate with properties (physical properties and mechanical properties) similar to those of the parent aggregate (natural aggregate). The method demonstrated in this study may be adapted to real-life worksite conditions—but not exactly. In Los Angeles abrasion machines, recycled concrete aggregates obtained from a source can be processed by varying drum revolutions and charges. Based on the charges and drum revolutions selected for treatment, treated recycled concrete aggregate can be prepared with different sets of physical and mechanical properties. Based on the present research, the physical and mechanical properties of treated recycled concrete aggregate can be compared between these sets. In this way, recycled concrete aggregates can be produced that resemble their parent aggregates. Using this process, recycled concrete aggregates may be used to replace natural aggregates without compromising the concrete’s physical, mechanical, or durability properties.
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      Performance-Based Quality Optimization Approach for Mechanically Treated Recycled Concrete Aggregates

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4293806
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    • Journal of Materials in Civil Engineering

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    contributor authorAmit Kumar
    contributor authorGyani Jail Singh
    contributor authorShashi Bhushan Kumar
    contributor authorRajesh Kumar
    date accessioned2023-11-27T23:44:37Z
    date available2023-11-27T23:44:37Z
    date issued6/28/2023 12:00:00 AM
    date issued2023-06-28
    identifier otherJMCEE7.MTENG-15284.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4293806
    description abstractThis study outlines a method for identifying high-quality recycled concrete aggregate (RCA) obtained after mechanical treatment. In the present approach, the physical and mechanical properties of RCA are considered as quality parameters. As a first step, mechanically treated (Los Angeles) RCA is produced with 28 combinations of charges and drum revolutions. Twenty-eight sets of mechanically treated RCA are produced, each with different physical and mechanical properties. Furthermore, the 28 sets of RCAs are compared using the performance-based quality optimization approach. The performance index for each set of RCAs is calculated applying a multicriteria decision-making approach named “technique for order of preference by similarity to ideal solution.” This approach considers physical and mechanical properties as a response and the combination of charges and drum revolutions as alternatives to obtain the performance index of alternatives. Based on its performance, the leading rankings RCAs are selected for an experimental study to validate the methodology. As a result of RCA’s optimized quality, recycled aggregate concrete (RAC) has excellent physical, mechanical, and durability characteristics that agree with natural aggregate concrete (NAC) composed of parent aggregate. The 28- and 91-day compressive strengths of RAC exceed those of NAC by 8.5% and 30.65%, respectively. Flexural strength, split tensile strength, fracture energy, ultrasonic pulse velocity (UPV) values, rapid chloride-ion penetration test values, water absorption, and abrasion resistance are comparable with NAC. The quality optimization approach identifies RCA with superior shape, texture, and elastic properties. An RCA with optimized qualities also strengthens the new interfacial transition zone and old interfacial transition zone as well as RAC’s associated properties. The RAC’s dynamic modulus of elasticity is superior to the reported values and is 0.95 fractions of NAC. Optimized quality of RCA reduces the sorptivity of RAC compared with the reported values. The RAC may not have equivalent sorptivity to NAC without lowering RCA parts, whether mortar-attached, mortar-covered, or mortar-only type aggregate or applying other treatments that may increase the production cost. This research presents a standard procedure for identifying mechanically treated recycled concrete aggregate with properties (physical properties and mechanical properties) similar to those of the parent aggregate (natural aggregate). The method demonstrated in this study may be adapted to real-life worksite conditions—but not exactly. In Los Angeles abrasion machines, recycled concrete aggregates obtained from a source can be processed by varying drum revolutions and charges. Based on the charges and drum revolutions selected for treatment, treated recycled concrete aggregate can be prepared with different sets of physical and mechanical properties. Based on the present research, the physical and mechanical properties of treated recycled concrete aggregate can be compared between these sets. In this way, recycled concrete aggregates can be produced that resemble their parent aggregates. Using this process, recycled concrete aggregates may be used to replace natural aggregates without compromising the concrete’s physical, mechanical, or durability properties.
    publisherASCE
    titlePerformance-Based Quality Optimization Approach for Mechanically Treated Recycled Concrete Aggregates
    typeJournal Article
    journal volume35
    journal issue9
    journal titleJournal of Materials in Civil Engineering
    identifier doi10.1061/JMCEE7.MTENG-15284
    journal fristpage04023315-1
    journal lastpage04023315-14
    page14
    treeJournal of Materials in Civil Engineering:;2023:;Volume ( 035 ):;issue: 009
    contenttypeFulltext
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