Mathematic Modeling and Chaotic Identification for Practice Construction in Vibratory Compacting

Shen, Peihui; Lin, Shuwen

doi:10.1007/s42417-018-0008-5

Cited by 7 publications

(5 citation statements)

References 22 publications

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“…As for the dynamic model of the "machine-pavement" system under jumping vibration condition, it mainly adopts the three-phase dynamic model including contact, jump, and impact, considering the viscoelasticity of the pavement structure and applying different directions of excitation force to solve, and studies the chaos phenomenon in the jumping vibration process [10,11]. Cao Zhipo et al [12] studied the two degree freedom of jump vibration condition of the "machine-pavement" system dynamics model, and studied the relationship between the acceleration feedback signal of vibrating drums of the vibrating roller and the bearing capacity of pavement structure, but found that the impact force of vibrating roller used in the process of jumping was too large, which would cause damage to pavement structure, so it cannot be directly used to test the bearing capacity of pavement structure.…”

Section: Traffic Speed Deflectometer 2000smentioning

confidence: 99%

Development of a Continuous Testing Device for Pavement Structure Bearing Capacity

et al. 2022

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Pavement structure bearing capacity is an important evaluation parameter in pavement design, construction, maintenance management, and reconstruction, and is generally expressed by the pavement deflection value. Some of the current road bearing capacity detection equipment have high detection accuracy, but the detection speed is slow, they cannot achieve real-time continuous detection; and some detection speeds are fast, but the measurement accuracy is easily affected by the pavement roughness and vehicle vibration. Moreover, the detection result is the pavement displacement, which cannot directly reflect the comprehensive modulus of the pavement structure. In this paper, firstly, a two-stage jump mechanical model of “machine-pavement” system is established in order to develop a device that can simulate the real driving load and continuously test the bearing capacity of pavement structure, and the main factors affecting the acceleration response of vibrating drums were determined through analysis. Then, a finite element model of the “machine-pavement” system was established to overcome the difficulty in obtaining the parameters such as vibrating weight, equivalent stiffness, and equivalent damping of pavement structure in numerical solution of dynamic model. Next, the mean value A of the maximum acceleration signal of the vibrating drum and the coefficient of variation acv of the maximum acceleration signal were selected as evaluation indicators to analyze the change trend of the maximum acceleration of the vibrating drum with the excitation frequency and excitation force under different composite modulus of pavement structures. Finally, the relationship between the composite modulus E of the pavement structure and the maximum acceleration A of the vibrating drum was obtained by simulating the pavement structure with the composite modulus ranging from 100 MPa to 2900 MPa, and the accuracy of this relationship was verified by field tests. The research showed that the acceleration signal of the vibrating drum had a good fitting relationship with the bearing capacity of the pavement structure when the testing device with the vibrating drum mass of 100 kg, the exciting frequency of 60 Hz, and the exciting force of 650 N jumped on the pavement structure, and the error was about 20% after comparing with the results of Benkelman beam testing, which basically met the engineering requirements. Therefore, the device can be used to continuously detect the bearing capacity of pavement structures.

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Section: Traffic Speed Deflectometer 2000smentioning

confidence: 99%

Development of a Continuous Testing Device for Pavement Structure Bearing Capacity

et al. 2022

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Section: Introductionmentioning

confidence: 99%

“…In recent years, unmanned engineering vehicles have effectively improved construction efficiency and reduced operator workload and operational errors, showing excellent promotion potential. [1][2][3] Unmanned articulated engineering vehicles, such as rollers, trucks, and loaders, are of great significance in construction. 4 According to the construction needs, it is necessary to ensure accurate path-following performance with satisfactory robustness against uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Layered disturbance rejection path-following control with geometry-based feedforward for unmanned rollers

Xie

Quanzhi

Song

2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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As a widely used engineering vehicle, drum rollers have a higher degree of freedom in motion than conventional passenger vehicles. The uncertainties, caused by road and vehicle condition variations, introduce severe disturbances in the path-following control of unmanned rollers. In this work, a single-drum roller is considered, for which a composite disturbance rejection controller (CDRC) is proposed for path following. The CDRC comprises a disturbance rejection controller (DRC) and a modified pure pursuit controller (MPPC). The DRC lumps all the discrepancies of the models from the roller as total disturbance, which is estimated by the extended state observer (ESO) and rejected in the feedback control loop. For enhanced performance, MPPC is added as a feedforward controller, which calculates the target articulation angle based on the roller geometry model. Compared with the DRC, the settling time of the CDRC is reduced by 12.3%, and the lateral errors are reduced by 43.1% and 39.9% in the presence of uncertainties in the positioning system and steering motor, respectively, while it still maintains a low computational cost. The proposed controller have been used in 15 unmanned rollers for 2 years, using which over 5 million square meters area has been compacted.

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“…Zheng et al [16] analyzed the influence of excitation amplitude and frequency and soil parameters on the dynamics of the vibratory drum. Based on the asymmetric hysteretic model of the compaction system, Shen et al [4,17] studied the chaotic vibration responses of the compaction system and showed the "bouncing" motion which can make the surface layer of subgrade loose and reduce the compaction efficiency. From these articles, it is observed that the adjustment strategy of operating parameters for vibratory rollers to avoid the bad operating condition, such as "bouncing," is scarcely reported in the open literature.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Dynamics of the Rigid Drum for Vibratory Roller on Elastic Subgrades

Liu

Wang

Sun

et al. 2021

Shock and Vibration

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In this paper, a coupling nonlinear dynamic model of the drum and subgrade is established for the vibratory roller. The dynamic characteristics of the rigid drum of the vibratory roller in the process of vibratory compaction are comprehensively investigated by time history, phase diagram, frequency spectrum, Poincare map, and bifurcation diagram. During the compaction process, the stiffness of the subgrade increases and the motion of the rigid drum of the vibratory roller changes from a single period to multiple periods and finally enters chaos by the way of period doubling. Moreover, the roller parameters also significantly affect the dynamic characteristics of the rigid drum and the compaction effect of the subgrade. Based on detailed numerical results, a parameter adjustment strategy about the roller frequency and nominal amplitude is proposed, which can avoid the “bouncing” of the drum during compaction and improve the compaction efficiency.

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Mathematic Modeling and Chaotic Identification for Practice Construction in Vibratory Compacting

Cited by 7 publications

References 22 publications

Development of a Continuous Testing Device for Pavement Structure Bearing Capacity

Development of a Continuous Testing Device for Pavement Structure Bearing Capacity

Layered disturbance rejection path-following control with geometry-based feedforward for unmanned rollers

Nonlinear Dynamics of the Rigid Drum for Vibratory Roller on Elastic Subgrades

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