Some aspects of what is described here relate to analyzing a well cement slurry. In some aspects, a well cement slurry is mixed in a mixer under a plurality of conditions. The plurality of conditions correspond to a plurality of distinct Reynolds number values for the well cement slurry in the mixer. Power number values associated with mixing the well cement slurry in the mixer under the plurality of conditions are identified. Each power number value is based on an amount of energy used to mix the well cement slurry under a respective one of the plurality of conditions. Values for parameters of a functional relationship between power number and Reynolds number are identified based on the power number values and the Reynolds number values for the plurality of conditions.

A concrete composition having an optimized formulation and suitable for 3-D printing is provided. The composition may include a hydraulic cement composition, aggregate, cement and/or aggregate by-product dust, one or more rheology modifiers, a plasticizer, fibers, and a sufficient amount of water to effect setting of the composition. Optionally the concrete composition may include a setting agent. A method for 3D printing multiple layers of the concrete composition is also provided.

A system features an acoustic sensor configured to mount on a wall of a mixing drum, sense an acoustic characteristic of a mixture of a slurry, including concrete, contained in a mixing drum when rotating, and provide acoustic sensor signaling containing information about the acoustic characteristic sensed; and a signal processor configured to receive the acoustic sensor signaling, and determine corresponding signaling containing information about a slump characteristic of the mixture of concrete contained in the mixing drum, based upon the signaling received.

Exemplary methods and systems of the invention minimize errors in the manufacture or management of aggregate-containing construction materials such as concrete. Aggregates used for making concrete are stored or weighed in dry bulk bin type hoppers, and conveyed from these hoppers into mixer drums which batching or mix the concrete. The hoppers or conveyor belts may contain sensor probes for measuring moisture levels in the aggregate. These sensor probes require calibration from time to time, but time and expense are required for proper calibration, leading to habitually erroneous moisture level data used in the industry on a daily basis. The present inventors believe that the smallest inaccuracies in aggregate moisture level readings can have profound effects on the properties of the resultant concrete product. To confront this long suffered problem, the present inventors surprisingly discovered that the inaccuracy of these aggregate moisture sensors, as used for evaluating the aggregate as a dry bulk material, can be detected and even addressed through the use of slump monitoring systems during delivery to evaluate the concrete slurry mix prepared from the aggregates.

A system for a concrete mixer having a drum receiving fresh concrete therein. The system generally has: a sensor measuring a set of measurand values indicative of a measurand associated with at least one of the fresh concrete, the drum and components of the concrete mixer; and a controller communicatively coupled to the sensor, the controller performing the steps of: accessing the set of measurand values generated by the sensor; using a trained data processing engine stored on the non-transitory memory, at least one of determining a property value indicative of a property of the fresh concrete, determining a parameter value indicative of a parameter of the drum, and determining that the set of measurand values are indicative of some operating conditions of the concrete mixer; and outputting a signal based on said determining.

There is described a method for determining a volume of fresh concrete being discharged from a drum during a discharge, the drum being rotatable and having inwardly protruding blades mounted inside the drum which, when the drum is rotated in an unloading direction, force the fresh concrete towards a discharge outlet of the drum. The method generally has discharging a volume of the fresh concrete from the drum by rotating the drum in the unloading direction for a given number of discharge rotations; obtaining discharge flow rate variation data indicative of a discharge flow rate varying as function of discharge rotations; and determining a discharged volume value indicative of the volume of fresh concrete being discharged from the drum of the mixer truck during said discharge based on the given number of discharge rotations and on the discharge flow rate variation data.

A system features an acoustic sensor configured to mount on a wall of a mixing drum, sense an acoustic characteristic of a mixture of a slurry, including concrete, contained in a mixing drum when rotating, and provide acoustic sensor signaling containing information about the acoustic characteristic sensed; and a signal processor configured to receive the acoustic sensor signaling, and determine corresponding signaling containing information about a slump characteristic of the mixture of concrete contained in the mixing drum, based upon the signaling received.

The disclosure provides a measurement set-up for a return cement suspension, a construction site arrangement with a measurement set-up, and a method which can be carried out inexpensively, reliably, and easily.

A system features an acoustic sensor configured to mount on a wall of a mixing drum, sense an acoustic characteristic of a mixture of a slurry, including concrete, contained in a mixing drum when rotating, and provide acoustic sensor signaling containing information about the acoustic characteristic sensed; and a signal processor configured to receive the acoustic sensor signaling, and determine corresponding signaling containing information about a slump characteristic of the mixture of concrete contained in the mixing drum, based upon the signaling received.

An inference system for monitoring a cementitious mixture for three-dimensional printing is provided. The inference system includes an ambient condition sensor, a temperature sensor, a moisture sensor and an image capturing device. The inference system also includes a controller coupled to the ambient condition sensor, the temperature sensor, the moisture sensor, and the image capturing device. The controller receives sensed ambient conditions, a temperature signal, and a moisture content signal. The controller receives an image feed of a portion of a cementitious mixture. The controller also receives signals indicative of a motor speed and a motor torque associated with a mixing container. The controller builds a model and determines a material suitability of the cementitious mixture using the model based on the received ambient conditions, the temperature signal, the moisture content signal, the image feed, the motor speed, and the motor torque and determines one or more corrective actions.