The Coupling Dynamic Analysis and Field Test of TBM Main System under Multipoint Impact Excitation

Huo, Junzhou; Wu, Hanyang; Li, Guangqing; Sun, Wei; Chen, Jing

doi:10.1155/2015/313259

Cited by 13 publications

(8 citation statements)

References 11 publications

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“…25,26 According to the numerical simulation method of a track spectrum, the track irregularity sample in the time domain is obtained at the speed of 350 km/h, as shown in Figure 4. For a vehicle-track coupled dynamics system with multiple DOFs and strong nonlinearity, the improved Newmark's method 27,28 was used to solve the problem efficiently and quickly.…”

Section: Nonlinear Coupled Relationship Of the Dynamics Modelmentioning

confidence: 99%

Dynamic investigation on railway vehicle considering the dynamic effect from the axle box bearings

Sun

Meng

et al. 2019

Advances in Mechanical Engineering

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The nonlinear load of the axle box bearing and the spatially coupled relationship of vehicles have seldom been considered in the dynamic modeling of vehicle-track systems in recent years. Therefore, based on the time-varying nonlinear contact load of an axle box bearing, a vehicle spatially coupled dynamic model is established. Subsequently, the vehicletrack spatially coupled dynamic model is established by the dynamic coupled relationship between the wheel and rail. Finally, the vehicle wheelset testbed is set up to verify the correctness of the theoretical model. Experimental results show that (1) the vibration of an axle box has a strong nonlinear coupled relationship. The axle box vertical amplitude aroused by lateral alternating load is approximately 0.108 mm, which was approximately 22.2% of the lateral vibration and (2) the lateral displacement and acceleration errors of axle box between the simulation and experiment are about 5.7% and 6.9%, respectively, which validates the theoretical model. The vehicle-track spatially coupled dynamic model accurately reflects the vibration characteristics of locomotives under track irregularity and provides theoretical support for the design of key components, such as axle box bearings.

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Section: Nonlinear Coupled Relationship Of the Dynamics Modelmentioning

confidence: 99%

Dynamic investigation on railway vehicle considering the dynamic effect from the axle box bearings

Sun

Meng

et al. 2019

Advances in Mechanical Engineering

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“…Owning to complex TBM-rock interactions, the rock cutting force loaded by disc cutter is nonlinear and irregular and oscillates violently [2,3,7,8]. Under multipoint impact excitation from cutters, TBM vibrates strongly, premature failure of cutters and serious damage in cutterhead driving system occur frequently, and excavation energy efficiency declines, resulting in the increase of tunneling project expense [8,9]. There is no doubt that these sufferings of TBM performance have a close correlation with TBM-rock interactions.…”

Section: Introductionmentioning

confidence: 99%

“…On the issue of TBM vibration, the dynamic characteristics of the cutterhead driving system with a joint cutterhead panel were investigated based on a multi-degree of freedom (MDOF) model [10]. Later, the vibration investigation was extended to TBM main system which was modeled using lumped parameter method [9]. Recently, this investigation was pushed forward by establishing a rigid-flexible coupled multibody dynamic model of an opening hard rock TBM [11].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Hard Rock TBMs considering Operational and Rock Conditions

Zou

Zheng

2018

Shock and Vibration

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This paper focuses on studying the correlations of the performance of hard rock tunnel boring machines (TBMs) with operational and rock conditions. Firstly, a rigid-flexible coupled multibody dynamic model of an opening hard rock TBM is established for the analysis of its vibration. Then four performance indexes including mean vibration energy dissipation rate, dynamic specific energy (DSE), disc cutter wear rate, and load sharing coefficient are introduced and formulated, respectively, for evaluating the vibration level, excavation energy efficiency, cutter’s vulnerability to wear, and load transmission performance of cutterhead driving system of the TBM. Finally, numerical simulation results of the TBM tunneling performance evaluation are obtained and validated by on-site vibration measurement and tunneling data collection. It is found that operational and rock conditions exert important impact on TBM vibration level, excavation energy efficiency, and structure damage. When the type of rock to be cut changes from soft to hard with operational parameters held constant, TBM performance evaluated by these three indexes deteriorates significantly, and both the decrease of excavation energy efficiency and the increase of cutter wear rate caused by TBM vibration are obvious. This study provides the foundation for a more comprehensive evaluation of TBM performance in actual tunneling process.

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“…As a result of inadequately blasted ores [2] and unskilled workers [3], the hoist system often suffers large impact load with drastic fluctuation during practical operation [4]. Under such internal excitation formed in gear transmission system and external excitation caused by geological condition and converter motor, server vibration in the hoist system often occurs and results in components failure [5].…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Modeling and Dynamic Analysis of Hoist System in Electric Mining Shovel

Sun

Wang

et al. 2018

Shock and Vibration

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The hoist system of electric mining shovel (EMS) always encounters excessive vibration in present work. However, the shortage of suitable dynamic model has been the bottleneck of reducing vibration. In order to analyze the vibration of the EMS hoist system, a coupled dynamic model is proposed using the hierarchical modeling method, which contains couplings of bolt, bear, coupling, rope, and gear mesh. The components were equivalent to mass elements with several nodes corresponding to their structure. Considered helical gears and motors, a dynamic gear transmission model with couplings of bending, torsion, and axes was developed. Based on the dynamic model, the modal characteristics were calculated, and the vibration modes were classified to five types. Under the ripple drive torque simulated by Simulink, the dynamic characteristics of the hoist system in time domain and frequency domain were obtained using numerical integration with the Runge–Kutta method in Matlab. At last, the model validity was verified by contrasting the responses under actual test and the model. The dynamic model and study results can provide support for dynamic characteristic evaluation and dynamic optimization of the EMS hoist system.

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The Coupling Dynamic Analysis and Field Test of TBM Main System under Multipoint Impact Excitation

Cited by 13 publications

References 11 publications

Dynamic investigation on railway vehicle considering the dynamic effect from the axle box bearings

Dynamic investigation on railway vehicle considering the dynamic effect from the axle box bearings

Performance Evaluation of Hard Rock TBMs considering Operational and Rock Conditions

Hierarchical Modeling and Dynamic Analysis of Hoist System in Electric Mining Shovel

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