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Response Analysis of Vibration Roller Compaction Signal under Jumping State |
FENG Huaiping, YANG Yang, WANG Zhiman |
Shijiazhuang Tiedao University, Shijiazhuang, Hebei 050043, China |
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Abstract Research purposes: Jumping is a common phenomenon in the process of subgrade vibration compaction. When jumping occurs, the discreteness of harmonic test indexes such as CCV and CMV in the intelligent compaction system increases significantly, which affecting the judgment accuracy of subgrade compaction quality. In order to analyze the influence law of vibration jumping on harmonic continuous compaction detection indexes, based on the "wheel-soil" dynamic system, the Universal Mechanism modeling was used to study the influence law of vibration rollerfrequency and ratio of excitation force to weight of vibration wheel, roadbed stiffness, roadbed damping,etc,on vibration jumping. On the basis of revealing the mechanism of jumping, the influence on the intelligent compaction index was studied. Research conclusions: (1) There is a significant positive correlation between the stiffness coefficient of roadbed and the ratio of the exciting force to the weight of vibration wheel and the occurrence of jumping.(2) With the same roadbed stiffness, the probability of jumping decreases with the increase of vibration frequency and roadbed damping.(3)The jumping behavior has influence on the CCC index, among which CMV is significantly affected by the jumping. Non-neglectable errors could exist when using CMV to predict the degree of compaction at jumping state. While CCV is relatively less affected by the jumping because it considers multiple harmonic components.(4) A method for determining the occurrence of the jumping based on the ratio of exciting force to the weight of vibration wheel and road stiffness is proposed. In this paper, the interaction between dynamic characteristics, vibration parameters and jumping vibration ofroadbed is revealed to provide references for controlling the control behavior of road rollers to achieve high-quality intelligent compaction.
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Received: 17 February 2022
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