CARBONATION OF RECYCLED CONCRETE
    1.
    发明公开

    公开(公告)号:US20240034675A1

    公开(公告)日:2024-02-01

    申请号:US17874935

    申请日:2022-07-27

    CPC classification number: C04B18/167 C04B20/1066 C04B2111/00017

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing recycled concrete aggregate (RCA). A method includes obtaining an aqueous carbonate solution by exposing an aqueous alkaline solution to a carbon dioxide laden fluid; performing a treatment process on a first portion of RCA particles using a first set of parameters, the treatment process including exposing the first portion of RCA particles to the aqueous carbonate solution; after performing the treatment process, obtaining measurements of the first portion of RCA particles; determining, using the measurements of the first portion of RCA particles, a second set of parameters; and performing the treatment process on a second portion of RCA particles using the second set of parameters. Exposing the first portion of RCA particles to the aqueous carbonate solution includes soaking the first portion of RCA particles in the aqueous carbonate solution.

    EMPIRICAL OPTIMIZATION OF CONCRETE RECIPES
    2.
    发明公开

    公开(公告)号:US20240047020A1

    公开(公告)日:2024-02-08

    申请号:US17882250

    申请日:2022-08-05

    CPC classification number: G16C60/00 C04B40/0032

    Abstract: Methods, systems, and apparatus for developing recipes for concrete mixtures are disclosed. A method includes obtaining second input data including a second recipe for combining the plurality of ingredients; mixing the plurality of ingredients according to the second recipe to produce a second mixture; obtaining sensor data representing one or more qualities of the second mixture; evaluating the second mixture using the sensor data to obtain performance measures of the concrete mixture; processing the input data with the mixture prediction model to obtain a corresponding output of the mixture prediction model, the corresponding output including predicted performance measures for the second mixture; and adjusting parameters of the mixture prediction model based on comparing the output of the mixture prediction model to the performance measures of the second mixture.

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