Abstract: Example embodiments provide systems and methods for formulating and evaluating a construction composition (such as a mixture for concrete, asphalt, mortar, etc.). 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 (e.g., raw materials, mixing techniques, etc.), the model, AI, or algorithm, may output one or more formulations that meet or best approximate the requirements. The formulations may be provided to a simulation to estimate or predict their performance. The performance characteristics of the output formulation(s) may be displayed. Optionally, the system may control mixing machinery to produce the formulation.

Abstract: 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.

Abstract: Example embodiments provide systems and methods for formulating and evaluating a construction admixture (such as an admixture for concrete, asphalt, mortar, etc.). 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 (e.g., raw materials, mixing techniques, etc.), the model, AI, or algorithm, may output one or more construction admixtures that meet or best approximate the requirements. The construction admixtures may be provided to a simulation to estimate or predict their performance. The performance characteristics of the output construction admixture(s) may be displayed. Optionally, the system may control mixing machinery to produce the construction admixture.

Abstract: Water soluble air controlling agents can be admixed with dispersant for cementitious compositions to provide an admixture for cementitious compositions that is stable over time. The water soluble air controlling agents are compatible with water based dispersants. Suitable water soluble air controlling agents include alkoxylated polymers. A cementitious composition is provided that includes cement, water, a dispersant for cementitious compositions, and a water soluble air controlling agent. A method is provided for making a cementitious composition that includes mixing cement, water, a dispersant for cementitious compositions, and a water soluble air controlling agent.

Abstract: Amine solubilizing agents are mixed with water insoluble defoamers and optionally a dispersant for cementitious compositions to provide an admixture for cementitious compositions that is stable over time. A method is provided for controlling the amount of air in a cementitious material in a predictable manner that includes mixing cementitious material, water, a water insoluble defoamer, an amine salt solubilizing agent that solubilizes the water insoluble defoamer, and optionally a dispersant for cementitious compositions.

Abstract: A strength improvement admixture composition is provided that increases the compressive strength of cementitious compositions without negatively increasing the setting time. The admixture comprises the components of a polycarboxylate dispersant and strength improvement additive.

Abstract: A cementitious mixture comprises a hydraulic cement; greater than about 10% by weight of a pozzolanic cement replacement selected from fly ash, slag, natural pozzolans, and mixtures thereof, based on the weight of said hydraulic cement and cement replacement; and a compatabilizing admixture, wherein the compatabilizing admixture comprises a compatabilizing derivatized polycarboxylate polymer dispersant capable of acting as a water reducer, in combination with an accelerator. The derivatized polycarboxylate dispersant, alone or in combination with other derivatized polycarboxylate dispersants, is a polymer comprising units derived from at least one of a substituted carboxylic acid monomer and a substituted ethylenically unsaturated monomer, at least one of an N-polyoxyalkylene maleimide and a condensation product of an unsubstituted carboxylic acid monomer and an alkoxypolyoxyalkylene primary amine substituted carboxylic acid monomer, and optionally including an unsaturated hydrocarbon.

Abstract: An additive for concrete, mortar or grout comprises at least one admixture material in a compacted unit of selected amount, the unit having strength sufficient to maintain structural integrity during handling and storage, but having sufficient solubility or friability upon mechanical agitation within a wet mixing environment of a cementitious composition mixture to dissolve or fragment for uniform dispersal throughout the cementitious composition mixture.

Abstract: A method for placing concrete underwater comprising pumping a flowable cementitious mixture comprising cement, water and one of either BNS or a cellulosic polymer to the underwater point of discharge of the cementitious mixture from a delivery tube and adding into the flowable cementitious mixture at the point of discharge, the other of the BNS or a cellulosic polymer resulting in a cementitious mixture having zero flow characteristics.