A ground surface treatment vehicle and systems and methods using the same. In some embodiments, the vehicle may be adapted to autonomously or semi-autonomously identify and optionally treat target areas such as divots on turf surfaces. The vehicle may identify the target area via onboard or remote sensors and autonomously treat the target area by providing a treating material such as infill, seed, particulate matter, and liquids.

A coating system and related methods for an airfield surface or a roadway is described. The coating system may include a stable cationic emulsion for application to the airfield surface or the roadway. The stable cationic emulsion may include a) an asphalt blend comprising gilsonite, wherein the gilsonite is modified to possess a positive charge, b) one or more polymers, and c) one or more surfactants not including a cationic surfactant. The coating system may also include a fine aggregate material for application to the stable cationic emulsion applied to the airfield surface or the roadway.

A coating system and related methods for an airfield surface or a roadway is described. The coating system may include a stable cationic emulsion for application to the airfield surface or the roadway. The stable cationic emulsion may include a) an asphalt blend comprising gilsonite, wherein the gilsonite is modified to possess a positive charge, b) one or more polymers, and c) one or more surfactants not including a cationic surfactant. The coating system may also include a fine aggregate material for application to the stable cationic emulsion applied to the airfield surface or the roadway.

A cold planer can include a frame; an operator station coupled to the frame and including a monitor; a cutting rotor coupled to the frame, the cutting rotor configured to be lowered a selected distance into a surface to define a depth of cut; a conveyor to receive material from the cutting rotor; and a cutting rotor location indication system including: a camera coupled to the frame and oriented to show an area on a side of the frame; and a visual indicator system configured to receive a first image from the camera and display on the monitor a visual image of a location of a leading edge and a trailing edge of the cutting rotor relative to the surface.

A milling machine may have a frame extending along a longitudinal axis and a milling drum attached to the frame. The milling machine may have ground engaging tracks that support the frame, and height-adjustable leg columns connecting the frame to the tracks. The milling machine may also have an engine for rotating the milling drum and propelling the ground engaging tracks. The milling machine may have a slope sensor to measure a roll angle of the frame, a speed sensor to measure a ground speed, and a configuration sensor to measure a machine configuration parameter. The milling machine may also have an alarm device and a controller. The controller may determine a threshold roll angle based on the machine configuration parameter, compare the roll angle with the threshold roll angle, and activate the alarm device when the roll angle is greater than or equal to the threshold roll angle.

A propelled milling machine includes a cutting rotor that receives power from an internal combustion engine via a rotor drivetrain. To adjust the speed of the cutting rotor, the rotor drivetrain includes a rotor drivetrain transmission operatively associated with a rotor drivetrain lubrication circuit. To regulate temperature of the lubricant, a heat exchanger circuit is associated with the rotor drivetrain lubrication circuit and includes a rotor drivetrain lubricant heat exchanger and a rotor drivetrain lubricant pump assembly. The quantity of lubricant directed to the heat exchanger is regulated based on one or more sensed operating parameters associated with the lubricant.

According to examples, a method may include pouring a fluid ultra-high performance concrete (UHPC) mixture into a cavity, thereby providing a UHPC having at least one exposed surface. The method may include applying a liquid polymer onto the exposed surface of the UHPC, thereby providing a layer of liquid polymer onto the at least one exposed surface. According to examples, the method may include rolling the layer of the liquid polymer layer on the at least one exposed surface of the UHPC with a spike roller having a plurality of extended spikes. In some examples, the rolling may be applied with a predefined amount of pressure to cause the extended spikes to pierce the exposed surface of the UHPC, to incorporate the liquid polymer into the UHPC.

According to examples, a method may include pouring a fluid ultra-high performance concrete (UHPC) mixture into a cavity, thereby providing a UHPC having at least one exposed surface. The method may include applying a liquid polymer onto the exposed surface of the UHPC, thereby providing a layer of liquid polymer onto the at least one exposed surface. According to examples, the method may include rolling the layer of the liquid polymer layer on the at least one exposed surface of the UHPC with a spike roller having a plurality of extended spikes. In some examples, the rolling may be applied with a predefined amount of pressure to cause the extended spikes to pierce the exposed surface of the UHPC, to incorporate the liquid polymer into the UHPC.

The present disclosure provides a method for obtaining a milling particle gradation prediction model, a prediction method and a device. The method includes: sieving a plurality of groups of test particles obtained by a plurality of milling tests to obtain a sieve residual mass ratio corresponding to each of a plurality of sieves after performing milling tests on an asphalt layer; calculating a characteristic parameter of a cutting graph of the milling rotor according to arrangement of cutter teeth of the milling rotor, a rotational speed, a forward speed, and a milling depth of the milling rotor; establishing, by regression analysis, a functional relation between the sieve residual mass ratio corresponding to each sieve and the characteristic parameter according to the rotational speed, the forward speed and the milling depth; and normalizing the functional relation to obtain the milling particle gradation prediction model.