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Intelligent Compaction with Vibratory Rollers: Feedback Control Systems in Automatic Compaction and Compaction Control

机译:振动压路机的智能压实:自动压实和压实控制中的反馈控制系统

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Dynamic compactors with parameters that adjust automatically to the condition of the subgrade form the basis for intelligent compaction. Dynamic soil compactors create nonlinear vibrations, and the typical characteristics of these vibrations are taken as the basis for the feedback control system for intelligent compaction. With the model of the machine and the soil as the starting point, the periodic loss of contact between the drum and the subgrade is postulated to be the main nonlinear effect. This nonlinearity leads to near periodic and subharmonic vibration phenomena, and it can bring about unstable drum dynamics. The machine behavior can be investigated with the help of the chaos theory. Feedback control systems for rollers are based on the results from the theory of nonlinear oscillations, and they allow optimal compaction performance thanks to continuous adjustment to the compaction status. Starting with large amplitudes and low frequencies, the automatic control system ensures a good depth effect. As the compaction increases, the frequencies rise and the amplitudes are automatically reduced; those actions lead to optimal surface layer compaction at the end of the process. The soil stiffness measurement, which is performed in parallel with the automatic control, is directly correlated with the plate-bearing test to enable continuous compaction control. In conjunction with a documentation system, intelligent compaction makes it possible to prove the homogeneity and the achieved compaction degree. In the field, intelligent compaction ensures that compaction jobs are completed in a minimum number of passes and allows monitoring of results as work progresses. In addition to optimal compaction with no risk of overcompaction, laboratory costs are reduced and process reliability is maximized.
机译:动态压实机的参数可根据路基情况自动调整,构成了智能压实的基础。动态土壤压实机会产生非线性振动,这些振动的典型特征将作为智能压实反馈控制系统的基础。以机器的模型和土壤为起点,假定鼓与路基之间的定期接触损失是主要的非线性影响。这种非线性会导致接近周期性和次谐波的振动现象,并且可能导致不稳定的鼓动力。可以借助混沌理论研究机器行为。压路机的反馈控制系统基于非线性振荡理论的结果,并且由于不断调整压实状态,它们可以实现最佳压实性能。从大振幅和低频开始,自动控制系统可确保良好的深度效果。随着压实度的增加,频率会上升,振幅会自动减小;这些作用会在过程结束时导致最佳的表层压实。与自动控制并行进行的土壤刚度测量与板式承载试验直接相关,以实现连续压实控制。结合文档系统,智能压实可以证明均匀性和达到的压实度。在现场,智能压实可确保压实工作以最少的次数完成,并允许在工作进行时监控结果。除了最佳的压实效果,而且没有过度压实的风险,还可以降低实验室成本,并最大程度地提高工艺可靠性。

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