Recycled concrete preparation using sensors to characterize particles and control carbonation and densification process steps

Patent metadata

Field	Value
Publication number	US-12292371-B2
Application number	US-202318359302-A
Country	US
Kind code	B2
Filing date	Jul 26, 2023
Priority date	Sep 24, 2021
Publication date	May 6, 2025
Grant date	May 6, 2025

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing recycled concrete aggregate (RCA). One of the methods includes obtaining first optical measurements of RCA particles as the RCA particles are conveyed past the first optical sensors; determining, based on the first measurements, an initial characterization of the RCA particles; iteratively performing a carbonation process on the RCA particles, obtaining second optical measurements of the RCA particles, and determining, from the second measurements, a second characterization of the RCA particles, wherein conditions of the carbonation process are initially set based on the initial characterization, and the conditions of the carbonation process are adjusted based on the second characterization; ceasing the iterative performance of the carbonation process in response to the second characterization meeting target carbonation characteristics; iteratively performing a densification process on the RCA particles, obtaining third optical measurements of the RCA particles, and determining, from the third measurements, a third characterization of the RCA particles, wherein conditions of the densification process are initially set based on the initial characterization or the second characterization, and the conditions of the densification process are adjusted based on the third characterization; and ceasing the iterative performance of the densification process in response to the third characterization meeting target densification characteristics.

First claim

The invention claimed is:

1. A method of preparing recycled concrete aggregate (RCA), the method comprising:
obtaining, from first sensors, first measurements of RCA particles as the RCA particles are conveyed past the first sensors;
determining, based on the first measurements, an initial characterization of the RCA particles and, from the initial characterization of the RCA particles, determining carbonation process parameters to achieve target carbonation characteristics for the RCA particles; and
performing a carbonation process on the RCA particles to obtain carbonated RCA particles, wherein the carbonation process is controlled using the determined carbonation process parameters.

2. The method of claim 1 further comprising:
obtaining second measurements of the carbonated RCA particles; and
verifying completion of the carbonation process based on the second measurements indicating that the carbonated RCA particles meet the target carbonation characteristics.

3. The method of claim 2 further comprising:
determining, from the second measurements, a characterization of the carbonated RCA particles; and
performing a densification process on the carbonated RCA particles to obtain upgraded-carbonated RCA particles, wherein the densification process is controlled based at least in part on the characterization of the carbonated RCA particles.

4. The method of claim 3 , wherein the densification process comprises reacting the carbonated RCA particles with one or more additives, thereby, yielding upgraded-carbonated RCA particles.

5. The method of claim 1 , wherein the carbonation process comprises incubating the RCA particles in a concentration of carbon dioxide gas to promote absorption of carbon dioxide through reaction with calcium hydroxide and water within the RCA particles.

6. The method of claim 1 , wherein the carbonation process parameters include at least one of a concentration of carbon dioxide gas, an amount of water vapor, and a temperature used for the carbonation process.

7. The method of claim 1 , wherein determining the carbonation process parameters comprises applying the initial characterization of the RCA particles as input to a machine learning model trained to estimate carbonation process parameters required for carbonation processes from RCA particle characterization data.

8. The method of claim 1 , wherein the first measurements comprise near infrared (NIR) measurements of at least one of particle size, shape, porosity, or density, and
wherein determining the initial characterization comprising applying a regression model to correlate the first measurements to reactant content in the RCA particles.

9. The method of claim 1 , further comprising:
obtaining final optical measurements of the carbonated RCA particles; and
determining, based on the final optical measurements, final characteristics of the carbonated RCA particles, the final characterization comprising at least one of a geometry or a compressive strength of the RCA particles.

10. The method of claim 9 further comprising:
controlling an ingredient metering system to measure and add the carbonated RCA particles to a concrete mixture based on the final characterization;
determining, based on the final characterization, an estimated rheometry measurement of for the concrete mixture by:
obtaining an actual rheometry measurement of the concrete mixture; and
selectively controlling the ingredient metering system to add more carbonated RCA particles or additional ingredients to the concrete mixture based on a comparison of the estimated rheometry measurement with the actual rheometry measurement, wherein characteristics of at least one of the additional ingredients comprises one or more of a particle size distribution, a particle shape distribution, or particle sphericity.

11. The method of claim 10 , wherein determining an estimated rheometry measurement of the concrete mixture comprises determining, based on the characteristics, a particle packing efficiency for the at least one ingredient, and determining the estimated rheometry measurement based at least in part on the particle packing efficiency.

12. The method of claim 11 , wherein determining the estimated rheometry measurement based at least in part on the particle packing efficiency comprises comparing the particle packing efficiency to a multi-dimensional lookup table that associates particle packing efficiencies to experimentally determined expected rheometry measurements.

13. The method of claim 11 , wherein determining the particle packing efficiency comprises applying characteristics as input to a Bayesian optimization algorithm.

14. The method of claim 10 , further comprising:
iteratively adjusting the concrete mixture until a stop condition is achieved, wherein each iteration comprises:
obtaining rheometry measurements of the concrete mixture;
determining, based on the rheometry measurements, whether the concrete mixture satisfies the stop condition;
in response to the rheometry measurements not satisfying the stop condition:
determining additional portions for one or more of the ingredients to be added to the concrete mixture in order to meet a set of target concrete characteristics, and
controlling the ingredient metering system to measure and add the additional portions to the concrete mixture; and

in response to determining that the concrete mixture satisfies the stop condition, ceasing the iteratively adjusting the concrete mixture.

15. The method of claim 14 , wherein the stop condition is the set of target concrete characteristics.

16. The method of claim 14 , wherein determining whether the concrete mixture satisfies the stop condition comprises determining whether the rheometry measurements indicate that the concrete mixture is likely to achieve at least one of the set of target concrete characteristics within a threshold value.

17. The method of claim 16 , wherein determining whether the rheometry measurements indicate that the concrete mixture is likely to achieve at least one of the set of target concrete characteristics comprises:
determining target rheometry parameters based on a multi-dimensional lookup table associating experimentally obtained post-curing characteristics to concrete mixtures with known rheological properties; and
comparing the rheometry measurements to the target rheometry parameters.

18. A recycled concrete aggregate (RCA) preparation system comprising:
a plurality of optical sensors arranged within the system to measure attributes of crushed RCA at different process stages;
a carbonation sub-system;
at least one processor in communication with the plurality of sensors and the carbonation sub-system; and
a data store coupled to the at least one processor having instructions stored thereon which, when executed by the at least one processor, causes the at least one processor to perform operations comprising:
obtaining, from first sensors, first measurements of RCA particles as the RCA particles are conveyed past the first sensors;
determining, based on the first measurements, an initial characterization of the RCA particles and, from the initial characterization of the RCA particles, determining carbonation process parameters to achieve target carbonation characteristics for the RCA particles; and
performing a carbonation process on the RCA particles to obtain carbonated RCA particles, wherein the carbonation process is controlled using the determined carbonation process parameters,
obtaining second measurements of the carbonated RCA particles;

Assignees

• X Dev Llc
• Dev Llc

Inventors

• Nagatani Jr Ray Anthony
• Papania-Davis Antonio Raymond

Classifications

• C04B20/107

  Acids or salts thereof · CPC title

• G01N15/0205

  by optical means · CPC title

• G01N33/383

  Concrete or cement · CPC title

• C04B20/1074

  Silicates, e.g. glass · CPC title

• C04B18/167

  Recycled materials, i.e. waste materials reused in the production of the same materials · CPC title