Patent classifications
G01N33/42
MEASUREMENT AND MONITORING OF PHYSICAL PROPERTIES OF MATERIAL UNDER TEST (MUT) FROM A VEHICLE
Systems and methods for measuring and monitoring physical properties of a material under test (MUT) from a vehicle, e.g., using complex electromagnetic impedance. Various embodiments include a method including: obtaining displacement data about a position of a sensor array relative to a material under test (MUT); comparing the displacement data with reference displacement data to determine whether the sensor array is at a reference distance relative to the MUT; in response to determining that the sensor array is located at the reference distance, instructing the sensor array to transmit a set of electromagnetic impedance signals into the MUT; obtaining a return electromagnetic impedance signal from the MUT; and calculating at least one physical property of the MUT based upon the transmitted set of electromagnetic impedance signals, the return electromagnetic impedance signals, and the displacement data.
MEASUREMENT AND MONITORING OF PHYSICAL PROPERTIES OF MATERIAL UNDER TEST (MUT) FROM A VEHICLE
Systems and methods for measuring and monitoring physical properties of a material under test (MUT) from a vehicle, e.g., using complex electromagnetic impedance. Various embodiments include a method including: obtaining displacement data about a position of a sensor array relative to a material under test (MUT); comparing the displacement data with reference displacement data to determine whether the sensor array is at a reference distance relative to the MUT; in response to determining that the sensor array is located at the reference distance, instructing the sensor array to transmit a set of electromagnetic impedance signals into the MUT; obtaining a return electromagnetic impedance signal from the MUT; and calculating at least one physical property of the MUT based upon the transmitted set of electromagnetic impedance signals, the return electromagnetic impedance signals, and the displacement data.
In-situ test device for surrounding rock strength of bolt supported roadway and method thereof
An in-situ test device and method for surrounding rock strength of bolt supported roadway is provided. The test device includes a fixing mechanism, a loading mechanism, a measuring mechanism and a control system. The loading mechanism includes a hydraulic pump and a plunger pump, the hydraulic pump drives the plunger pump to work and controls the lifting speed of the loading cylinder; the measuring mechanism includes an infrared ranging unit and a wireless pressure monitoring unit; the control system controls the work of the loading mechanism and processes the monitoring data. The test device is directly installed in the roadway and fixed with the bolt. The device is loaded after leveling, the device is disassembled after the monitoring data are obtained, and the in-situ test for the surrounding rock strength of the bolt supported roadway is completed. The steps are simple and adaptable.
RETROFIT INTELLIGENT COMPACTION ANALYZER
A method, apparatus and system for providing an estimate of the level of compaction of a layer of pavement materials in real time. In some embodiments, a Retrofit Intelligent Compaction Analyzer (RICA) processor of a RICA device receives vibrational energy data from a sensor module which corresponds to impact responses of a drum of a roller machine during compaction of a pavement material over a section of pavement. The RICA processor also receives temperature data from the sensor module, determines an estimated level of compaction in real time of the section of pavement based on the vibrational energy data, pavement material characteristics data and the temperature data, and displays a density level percentage of the section of pavement on a display device for viewing by an operator of the roller machine.
RETROFIT INTELLIGENT COMPACTION ANALYZER
A method, apparatus and system for providing an estimate of the level of compaction of a layer of pavement materials in real time. In some embodiments, a Retrofit Intelligent Compaction Analyzer (RICA) processor of a RICA device receives vibrational energy data from a sensor module which corresponds to impact responses of a drum of a roller machine during compaction of a pavement material over a section of pavement. The RICA processor also receives temperature data from the sensor module, determines an estimated level of compaction in real time of the section of pavement based on the vibrational energy data, pavement material characteristics data and the temperature data, and displays a density level percentage of the section of pavement on a display device for viewing by an operator of the roller machine.
METHOD FOR TESTING SURFACE ENERGY OF AGGREGATE BASED ON STATIC DROP METHOD
Disclosed is a method for measuring surface energy of aggregates based on static drop method, comprising (1) aggregates grinding and pretreatment; (2) obtaining the surface texture index; (3) calculating the surface energy based on static drop method experiment; (4) fitting to obtain a functional relationship between the surface texture index and surface energy; (5) calculating the surface energy of the original aggregate. The method considers the influence of the grinding process on the surface texture of the aggregates when measuring the surface energy of the aggregates, which significantly improves the accuracy of the static drop method test. The static drop method can be used to replace the vapor adsorption method to test the surface energy of aggregate, and the low-cost optical contact angle instrument can replace the expensive magnetic suspension weight balance system to test the surface energy of aggregate, which greatly reduces the test cost.
Device for detecting compaction and shear strength characteristics of asphalt mixture during construction compaction
A device is for detecting compaction and shear strength characteristics of an asphalt mixture during construction compaction. The device includes a fixed frame and a detection system. The detection system includes a display, a control panel, a test claw, an electric motor, a lift switch, a torque sensor and a temperature sensor. The control panel includes a power switch for controlling the electric motor and a speed regulator for controlling a rotation speed of the test claw. An output end of the electric motor is connected to an input end of the torque sensor, and an output end of the torque sensor is connected to an input end of the test claw. An output end of the test claw is provided with a claw-shaped blade. The claw-shaped blade is provided therein with the temperature sensor.
Device for detecting compaction and shear strength characteristics of asphalt mixture during construction compaction
A device is for detecting compaction and shear strength characteristics of an asphalt mixture during construction compaction. The device includes a fixed frame and a detection system. The detection system includes a display, a control panel, a test claw, an electric motor, a lift switch, a torque sensor and a temperature sensor. The control panel includes a power switch for controlling the electric motor and a speed regulator for controlling a rotation speed of the test claw. An output end of the electric motor is connected to an input end of the torque sensor, and an output end of the torque sensor is connected to an input end of the test claw. An output end of the test claw is provided with a claw-shaped blade. The claw-shaped blade is provided therein with the temperature sensor.
Method for assessing the amount of rolling required to achieve optimal compaction of pre-rolled asphalt pavement
A ground penetrating radar device and/or other sensor such as LIDAR, pressure, or temperature sensors is mounted on a mobile device, and is adapted, during motion of the mobile device, to sense characteristics of asphalt pavement on which the mobile device is moving, prior to compaction of the asphalt pavement by rollers. A processor, functionally associated with at least one sensor, receives from the sensor signals relating to characteristics of the asphalt pavement on which the mobile device is moving, and computes, based on the received signals, at least one compaction characteristic of the asphalt pavement. The processor provides a mapping of computed desired change in compaction characteristics to regions of the asphalt pavement during the rolling process. During rolling, at least one sensor measures the change in compaction and assesses when the change in compaction matches the desired optimal compaction based on the pre-generated map.
Method for assessing the amount of rolling required to achieve optimal compaction of pre-rolled asphalt pavement
A ground penetrating radar device and/or other sensor such as LIDAR, pressure, or temperature sensors is mounted on a mobile device, and is adapted, during motion of the mobile device, to sense characteristics of asphalt pavement on which the mobile device is moving, prior to compaction of the asphalt pavement by rollers. A processor, functionally associated with at least one sensor, receives from the sensor signals relating to characteristics of the asphalt pavement on which the mobile device is moving, and computes, based on the received signals, at least one compaction characteristic of the asphalt pavement. The processor provides a mapping of computed desired change in compaction characteristics to regions of the asphalt pavement during the rolling process. During rolling, at least one sensor measures the change in compaction and assesses when the change in compaction matches the desired optimal compaction based on the pre-generated map.