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In order to research the impact of the vibration on working stability of the vibration compaction system (VCS) and increase the paver’s performance, the acceleration responses at the screed surface under the excitation frequencies of the tampers and vibration screed are analyzed via the root mean square acceleration responses (RMSAR) at the bottom...
Citations
... Разработка новых технических решений, теоретические и экспериментальные исследования, разработка проектов новых конструкций машин, рабочих органов является актуальным направлением в совершенствовании машин для строительства линейных объектов [1][2]. Цель работы -исследование системы 3D-нивелирования Trimble Grade Control при строительстве линейных объектов, экономическая эффективность данной системы, скорость и качество выполнения работ, изучение технологий, применяемых в сфере информационного моделирования в строительстве линейных объектов [3][4][5][6][7]. С целью исследования основных процессов строительства линейных и площадных объектов была построена имитационная модель. ...
The research is aimed at improving production processes using information modeling technologies, along with the examination of the Trimble 3D Grade Control system for the construction of linear facilities; determining the economic efficiency of this system, the speed and quality of work; creating an automated control system for road construction on the basis of 3D leveling and 3D design technologies, and developing a simulation model. An automated control system is investigated. The economic effect of 3D leveling during the reconstruction of the section of the Vilyui federal highway, which involved the preparation of the base for asphalt paving, is calculated. It is established that economic efficiency is increased due to an increase in the speed and quality of the work. The operation of the automated control system during the construction of linear facilities is demonstrated. The technologies of information modeling are studied. The process system during the construction of linear facilities is characterized. The article reveals several effects and advantages of incorporating 3D leveling technology into road construction management, including a threefold increase in the speed and quality of finishing planning works, the prevention of unnecessary reconstruction (only in the case of project modifications), the elimination of demarcation survey operations, real-time computation of earthwork quantities, and enhanced efficiency for the chief engineer. The implementation of information modeling technologies helps to improve the management model of production processes. Both theoretical and experimental research, as well as the development of new technical solutions and designs for machines and working bodies, comprise topical directions in the improvement of machines for the construction of linear facilities.
... The FLC's structure includes an fuzzification interface, FIS, and defuzzification interface. The crisp values of FLC is transformed by linguistic variables (LV), then, the fuzzy inference system's inference rules is applied to solve the if-then of FLC, then, LV is transformed back to crisp values via the physical values to control the system [12][13][14]. To apply the FLC on the car model, = − (relative displacement) and (relative velocity) of the car's suspension are two input data and the is the output value of the FLC. ...
A machine learning method (MLM) developed based on fuzzy logic control (FLC) has been proposed to control the vibration of the car's suspension systems. To apply the MLM, a quarter car model with two degrees of freedom has been established via MATLAB/Simulink. The reduction of the vertical car body's acceleration response is the objective function. Through FLC's logic rule and data maps of the different road surfaces, the MLM of ANFIS has been trained via its self-learning process to control the car's suspension system. The result indicates that the vibration response of the car's suspension system controlled by both FLC and MLM is reduced in comparison without the control. Particularly, the MLM has an obvious effect on reducing the acceleration response of the car body under different excitations of the road surface in comparison with the FLC. Consequently, the car's suspension system controlled by the MLM could further enhance the car's ride comfort compared to the traditional control methods.
... The FLC's structure includes an fuzzification interface, FIS, and defuzzification interface. The crisp values of FLC is transformed by linguistic variables (LV), then, the fuzzy inference system's inference rules is applied to solve the if-then of FLC, then, LV is transformed back to crisp values via the physical values to control the system [12][13][14]. To apply the FLC on the car model, = − (relative displacement) and (relative velocity) of the car's suspension are two input data and the is the output value of the FLC. ...
A machine learning method (MLM) developed based on fuzzy logic control (FLC) has been proposed to control the vibration of the car's suspension systems. To apply the MLM, a quarter car model with two degrees of freedom has been established via MATLAB/Simulink. The reduction of the vertical car body's acceleration response is the objective function. Through FLC's logic rule and data maps of the different road surfaces, the MLM of ANFIS has been trained via its self-learning process to control the car's suspension system. The result indicates that the vibration response of the car's suspension system controlled by both FLC and MLM is reduced in comparison without the control. Particularly, the MLM has an obvious effect on reducing the acceleration response of the car body under different excitations of the road surface in comparison with the FLC. Consequently, the car's suspension system controlled by the MLM could further enhance the car's ride comfort compared to the traditional control methods.
... 3) The result of this study can contribute to the existing body of knowledge of the vibratory screed system of the asphalt paver and provide a reference for the optimal control of other paving machines to further improve the paving performance. Additionally, the result can also be referenced to control the compaction force of soil compactors, which has not yet been considered in existing publications [9,17], to enhance the soil compactors' performance. ...
Abstract. To enhance the compression performance and improve the paving quality of the VSS of the pavers, the experimental research of the VSS is performed to assess the VSS’s vibration stability under various excitations of the tampers and vibrator screed. A VSS’s dynamic model is also established to simulate and evaluate the VSS’s working performance. The root-mean-square (RMS) acceleration responses of the vertical and pitching motions at centre of gravity of the screed floor are chosen as the objective functions. In order to increase the VSS’s working performance, the dynamic parameters of the angular deviations of tampers are then controlled based on Fuzzy control. The research results indicate that the RMS value of the vertical screed motion is remarkably increased, concurrently the RMS value of the pitching screed angle is significantly
reduced by controlling the angular deviations of tampers under different excitation frequencies of the VSS. Therefore, the VSS’s working performance is significantly improved in comparison without the control of the angular deviations.
To improve the uniformity of asphalt mixtures, optimizing the particle distribution is essential, and the screw conveyor of paver plays a critical role in this process. In this regard, a parameter optimization strategy based on the discrete element method and response surface methodology (RSM) is proposed. First, a discrete element model is developed for spiral material separation and asphalt mixture particles. Next, uniformity evaluation indicators are used to analyze the impact of individual parameters on particle uniformity. Then, simulation experiments are conducted under varying material level coefficients and rotational speeds, and a regression model is developed to analyze the impact of coupling factors using RSM. Afterward, different algorithms are employed to optimize the parameters of the model, and the results show that the particle swarm optimization algorithm is better than the traditional hill climbing algorithm. Last, field tests are conducted to verify the feasibility of the proposed optimization strategy. The optimal theoretical parameter of the material level coefficient is 0.95, and the rotational speed is 53 rpm. Overall, the proposed strategy offers an effective and accurate model for simulating the process of particle separation, which can lead to improved uniformity of asphalt mixtures.
As part of this research, the shear process during asphalt paving with the paver screed was investigated in the laboratory. An extensive international literature search revealed that the influence of the shear process on the compaction success during asphalt paving has not been investigated to date. In addition, only limited data on the coefficient of friction between the asphalt mix and the screed plate exist from in-situ measurements. The investigations in the laboratory were carried out with a customized frame shear device of the Institute of Geotechnics at the Technical University of Darmstadt. The asphalt mix types AC 11 DS, SMA 11 DS and AC 16 BS (according to the German guideline TL Asphalt-StB) were used for this purpose. In addition, the influence of temperature changes and grading curve changes was investigated using the AC 11 DS asphalt mix. On the basis of the results, it was possible to prove for the first time that a significant increase in density takes place as a result of the shear process under constant normal stress. Where the influence on the compaction success depends on the asphalt composition. In addition, in-situ measurements could be validated based on determined sliding friction coefficients. The friction coefficients showed a material and temperature-dependent behavior.
