Abstract: Systems and methods are disclosed for designing and tracking construction material usage by estimating volumetric properties for one or more mix designs; determining an optimum mix based on laboratory data; and field testing a sample of the optimum mix; and tracking and managing construction material usage based on the optimum mix.

Abstract: Systems and methods are disclosed for asphalt mix design by predicting properties associated with a mix of volumetric properties; verifying properties of the mix by digitally collecting data for each gyration from a gyratory compactor; selecting an optimum mix based on the gyration data; determining a percentage of maximum theoretical density; testing properties of the optimum mix with an ignition process; and determining gradation of the optimum mix.

Abstract: Systems and methods are disclosed for automating asphalt mix design by running one or more tests on the mix design using computer controlled equipment; digitally collecting data for each run using the computer controlled equipment; and selecting an optimum mix based on the collected data.

Abstract: Systems and methods are disclosed for automating mix design by estimating volumetric properties for one or more mix designs; running one or more tests on the mix design using a gyratory compactor; digitally collecting data for each gyration from the gyratory compactor; selecting an optimum mix based on the gyration data; and testing a sample of the optimum mix using an ignition process.

Abstract: Systems and methods are disclosed for designing and tracking construction material usage by estimating volumetric properties for one or more mix designs; determining an optimum mix based on laboratory data; and field testing a sample of the optimum mix; and tracking and managing construction material usage based on the optimum mix.

Abstract: Systems and methods are disclosed for automating mix design by estimating volumetric properties for one or more mix designs; running one or more tests on the mix design using a gyratory compactor; digitally collecting data for each gyration from the gyratory compactor; selecting an optimum mix based on the gyration data; and testing a sample of the optimum mix using an ignition process.

Abstract: A computer-implemented system performs quality control on a construction material mixture includes accessing a server located on a wide-area-network; sending information collected from the material mixture to the server; applying one or more test methodologies to the collected information; generating one or more reports from the test methodologies; and sending the one or more reports to a project manager.

Abstract: Systems and methods are disclosed for automating asphalt mix design by estimating volumetric properties for one or more mix designs; running one or more tests on the mix design using a gyratory compactor; digitally collecting data for each gyration from the gyratory compactor; and selecting an optimum mix based on the gyration data.

Abstract: An apparatus and a method optimizes a job mix formulation (JMF) for hot mix asphaltic concrete. The apparatus receives JMF data input, including hand-entered data, hand-drawn data, or computer optimized data. The apparatus then generates a voids in the mineral aggregate (VMA) value. Next, it prompts the user to select a design methodology, including a Marshall mix methodology, a Hveem mix methodology, a Strategic Highway Research Program mix methodology, or a user definable mix methodology. Once the appropriate methodology has been selected, the apparatus applies a number of computations which use the VMA value. The apparatus also generates an aggregate composition for the hot mix asphaltic composition satisfying the job mix formulation based on the JMF data input and the selected design methodology.