A mobile volumetric concrete mixing system includes a suction system that vacuums up trench spoils while a trench is being cut. These trench spoils are then screened on-site for particle size to be reused and mixed with water, cement, and/or other admixtures at an auger mixer to form a backfill mixture. This backfill mixture may then be loaded into a hopper that continuously agitates the mixture so that the mixture does not harden before pouring. The agitating hopper is coupled to a discharge chute of the auger mixer and includes one or more augers disposed at various orientations that the backfill mixture is channeled through. From the agitating hopper, the backfill mixture is channeled to an applicator that moves along the trench and that enables the mixture to be quickly poured into the trench with little clean-up required.

An accelerated carbonatation method including the following steps: a) providing recycled concrete granulates with a grain size smaller than or equal to a value V.sub.1 being between 1 mm and 6 mm, in other words a 0/V.sub.1 sand; b) performing on the 0/V.sub.1 sand a separation step by defining a granulometric cut of a determined value V.sub.2 being between 0.1 mm and 0.2 mm so as to obtain: a 1st fraction whose grain size is less than V.sub.2, and a 2nd fraction whose grain size is between V.sub.2 and V.sub.1; c) subjecting the 2nd fraction to an accelerated carbonatation step in a dynamic carbonator so as to obtain carbonated recycled concrete granulates. Also, a method for valorizing concrete wastes and industrial gaseous discharges implementing the accelerated carbonatation method, in particular the gaseous discharges of a cement plant.

A ready-mixed composition and a pre-mix composition for the production of a concrete material containing sequestered carbon dioxide, a CO.sub.2-containing water used in such compositions, dry-batch and wet-batch processes for sequestering carbon dioxide in concrete material, general method and process for sequestering carbon dioxide in hardening concrete, system and ready-mixed truck to perform such processes and methods for the production of a ready-to-cure carbonated concrete. Compositions comprise a concrete mixture and a CO.sub.2-containing water. The CO.sub.2-containing water comprising water and at least one of blended CO.sub.2 gas bubbles, dissolved H.sub.2CO.sub.3, carbonate ions (CO.sub.3.sup.2), bicarbonate ions (HCO.sup.3), nanosized alkaline earth metal carbonate and nanosized alkali metal carbonate particles. The concrete mixture comprises a cementitious material, aggregates and at least one CO.sub.2-sequestering chemical for accelerating a CO.sub.2 sequestration speed and maximizing the captured amount of the carbon dioxide.

A production line combining on-site mixing and construction for a green and ultra-high-performance concrete includes a concrete manufacturing area and raw material stacking area located directly at a construction site. A mixing equipment is provided on the concrete manufacturing area. A concrete discharge end of the mixing equipment is connected to a construction pouring area through a concrete conveying device. A plurality of quantitative material packs and a transfer mechanism are provided in the raw material stacking area. The transfer mechanism is configured for both the stacking of the plurality of quantitative material packs and the transfer of at least one package per time to the mixing equipment. The production line features a straightforward overall structure, convenient operation, cost-effective equipment investment, minimal space occupancy, and enables integrated on-site manufacturing and pouring of concrete.

A process for preparing green ultra-high-performance concrete involves the preparation of coarse and fine raw materials of engineered sand and stone aggregates in the mechanism sand and stone aggregate production line, and the transportation of high-entropy cementitious powder prepared in the powder production line to the construction site. The process utilizes quantitative packaging or precise measurement on a modular intelligent mixing production line to proportion the ingredients, which are then automatically conveyed to the intelligent mixing equipment for the production of ultra-high-performance concrete or mortar. The concrete is rapidly conveyed to the concrete storage area and immediately poured into the desired shape using seamless pumping, belt conveyance, or bucket lifting methods. This invention effectively improves the processing, transportation, proportioning, and measurement processes of raw materials, enabling integrated on-site batching and construction of concrete.

A method and an apparatus for high-throughput preparation of a cement-based material are released and belong to the technical field of cement production. According to the technical solution of the present application, a single-mine, a single-phase or a unit components maintaining specific hydration hardening characteristics are used as structural units, and the method comprises the following steps that (1) the structural units are placed in storage tubes X1, X2, X3 . . . Xn respectively; (2) the materials in the storage pipes are put according to the composition design proportion of the cement-based material, and Y1, Y2, Y3 . . . Ym of mixed materials are prepared; (3) fully and uniformly mixing the Y1, Y2, Y3 . . . Ym of mixed materials through a uniform mixing device; and 4) respectively filling the Y1, Y2, Y3 . . . Ym of uniformly mixed materials into storage tanks Z1, Z2, Z3 . . . Zm to prepare m groups of cement-based material samples. The method and device are easy to operate and high in applicability, and the material research and development manpower and resource cost can be greatly reduced.

A method and device for producing a construction aggregate from a combination of natural raw and recycled materials is described. The method involves mixing these materials and washing them in a washer to remove elutriable components, thereby enhancing the quality of the aggregate. The process is designed to be cost-effective, energy-efficient, and environmentally friendly, minimizing the need for virgin materials and reducing landfill waste.

This specification relates to systems (100), methods and apparatus for intelligently controlling the drum rotation of a concrete mixer (104). According to a first aspect of this specification, there is described a method for controlling a concrete mixing drum (104) on a concrete mixer vehicle (102), the method comprising, for each of a plurality of time-steps: inputting, into one or more machine-learned models (210), input data comprising a current state of the concrete mixer vehicle and one or more delivery requirements for a concrete mix in the concrete mixing drum; processing, using the one or more machine-learned models, the input data to generate a drum rotation cycle data (c) for the concrete mixing drum; outputting, from the one or more machine-learned models, the drum rotation cycle data; and controlling the concrete mixing drum based on the generated drum rotation cycle data.

A mobile volumetric concrete mixing system includes a suction system that vacuums up trench spoils while a trench is being cut. These trench spoils are then screened on-site for particle size to be reused and mixed with water, cement, and/or other admixtures at an auger mixer to form a backfill mixture. This backfill mixture may then be loaded into a hopper that continuously agitates the mixture so that the mixture does not harden before pouring. The agitating hopper is coupled to a discharge chute of the auger mixer and includes one or more augers disposed at various orientations that the backfill mixture is channeled through. From the agitating hopper, the backfill mixture is channeled to an applicator that moves along the trench and that enables the mixture to be quickly poured into the trench with little clean-up required.

Example embodiments provide systems and methods for performing quality control of a construction composition. According to exemplary embodiments, a predictive model, artificial intelligence, machine learning algorithm, etc., may be trained using historical performance data and current deployment information. Based on a job specification that identifies various requirements for the construction composition and a set of available inputs, the AI/ML/model may output one or more formulations that meet or best approximate the requirements, and an initial batch of the construction composition may be produced. During or after deployment of the construction composition, information about the composition's performance may be received and applied to the AI/ML/model. The system may make real-time updates to the construction composition to improve the consistency or performance of the construction composition, within predefined acceptable change parameters. Optionally, the system may control mixing machinery to produce the updated construction composition.