The fatigue behavior and fatigue reliability analysis of vibroseis baseplates based on fracture mechanics

Chen, Zhen; Huang, Zhiqiang; Jing, Shuang; Tao, Zhifei; Zhao, Qi

doi:10.1177/1748006x17731902

Cited by 9 publications

(10 citation statements)

References 11 publications

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“…The inlet and outlet passages are machined in the horizontal plane so that the hydraulic oil flow disturbance can be minimized [25], [26]. Finite element analysis tools such as computational fluid dynamics (CFD) and Solidworks Cosmos (CSM) [27] are used to simulate the dynamic responses of the mechanical fluid model. The right plot shown in Fig 4 shows a meshed mechanical fluid model of the hydraulic oil flow passage.…”

Section: Mechanical Simulation Modelsmentioning

confidence: 99%

Disturbance study of seismic vibrator reaction mass and piston

et al. 2019

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The seismic vibrator has become a main energy source for land seismic exploration. For a seismic vibrator, a piston is installed in the vertical direction in the reaction mass, and the reaction mass moves up and down along the piston. Because of vibrator dynamic disturbances in the reaction mass and baseplate system, the vibrator output force is contaminated by harmonic distortion. This distorted output force results in poor quality of seismic data. This paper studies the dynamics and disturbances of the piston as well as the reaction mass. The results show that the reaction mass disturbance is mainly caused by the horizontal oil flow inlet going to the reaction mass chamber. Precisely speaking, the ideal vertical motion of the reaction mass is disturbed by a combination of a reaction mass rotational motion along the piston and a bending motion of the piston. Changing the oil flow inlet from the horizontal direction to the vertical direction significantly reduces these disturbances. In the disturbance test of the vertical oil flow inlet, the disturbance of the reaction mass in XOZ and YOZ is reduced by 73.943% and 54.232%, respectively, and the disturbance of the vibrator is obviously weakened. The motion of the reaction mass is close to the ideal vertical direction. This change of the oil flow inlet direction further improves the accuracy and reliability of the vibrator output force.

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Section: Mechanical Simulation Modelsmentioning

confidence: 99%

Disturbance study of seismic vibrator reaction mass and piston

et al. 2019

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“…The responses of the vibrator are different between low frequencies and high frequencies (Huang et al, 2017; Wei and Phillips, 2013b), and the reaction mass dominates the low-frequency response, and the baseplate plays a crucial role at high frequencies (Li et al, 2019a). Methods to increase the ground force including strengthening the contact between the baseplate and the ground with a rubber pad (Wei, 2010), designing a baseplate with new structure and material (Reust et al, 2015), properly increasing the weight of the reaction mass (Baeten et al, 2010; Rademacker et al, 2005), and extending the fatigue life of the baseplate (Chen et al, 2017). These methods have improved the exploration capability of the vibrator to some extent.…”

Section: Introductionmentioning

confidence: 99%

Modeling of energy transfer and parameter effects on it of a vibrator-ground system

Wen

Huang

et al. 2020

Advances in Structural Engineering

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The amount of energy transferred to the ground truly represents the performance of the seismic vibrator. So, it is crucial to investigate the transfer of energy in the vibrator-ground system and how parameters affect it. For this purpose, a model of vibrator-ground system considering frequency change is developed based on half-space theory, and methods of calculating energy transfer is innovatively proposed. Results show that the total energy done by the hydraulic force on the vibrator-ground system in the frequency band of 3–200 Hz is 3.156×105 J, and 9.11% of the energy is transferred to the ground. In addition, effects of structural parameters and soil parameters on energy transfer are carried out. It is concluded that lightweight reaction mass can significantly increase the total energy, but heavier reaction mass generates more ground energy. Baseplate with small mass not only helps the vibrator to transmit energy uniformly but also generates more ground energy above 100 Hz. Larger baseplate area can improve the baseplate-ground interaction to transfer more energy to the ground. For the effects of soil on energy transfer, the ground energy in low-frequency band is mainly dominated by soil elastic modulus, and both elastic modulus and density of soil have great effects on energy transferred to ground at high frequencies.

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“…The SILK surrogate model method removed the estimation of the performance extreme value in the inner loop and directly constructed the surrogate model for the performance function, thus this method is more efficient than those of the double-loop surrogate model methods. Other reliability analysis methods can be found in Khosravi et al, 20 Harnpornchai, 21 Yang et al 22 and Chen et al 23 Although the SILK surrogate model method 19 for estimating the TDFP is accurate and efficient, the procedure of constructing the surrogate model is generally time-demanding, especially for the small TDFP case. It is supposed that the number of the input variable samples and the discretized time instants are N and N t , respectively, in the SILK surrogate model method, thus this method needs to call the current constructed surrogate model N 3 N t times to identify the new training sample points in each iterative step.…”

Section: Introductionmentioning

confidence: 99%

Advanced time-dependent reliability analysis based on adaptive sampling region with Kriging model

Yan

Lü

2020

Proceedings of the Institution of Mechanical Engineers, Part O:

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Aiming at accurately and efficiently estimating the time-dependent failure probability, a novel time-dependent reliability analysis method based on active learning Kriging model is proposed. Although active surrogate model methods have been used to estimate the time-dependent failure probability, efficiently estimating the time-dependent failure probability by a fewer computational time remains an issue because screening all the candidate samples iteratively by the active surrogate model is time-consuming. This article is intended to address this issue by establishing an optimization strategy to search the new training samples for updating the surrogate model. The optimization strategy is performed in the adaptive sampling region which is first proposed. The adaptive sampling region is adjustable by the current surrogate model in order to provide a proper candidate samples region of the input variables. The proposed method employs the optimization strategy to select the optimal sample to be the new training sample point in each iteration, and it does not need to predict the values of all the candidate samples at every time instant in each iterative step. Several examples are introduced to illustrate the accuracy and efficiency of the proposed method for estimating the time-dependent failure probability by simultaneously considering the computational cost and precision.

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The fatigue behavior and fatigue reliability analysis of vibroseis baseplates based on fracture mechanics

Cited by 9 publications

References 11 publications

Disturbance study of seismic vibrator reaction mass and piston

Disturbance study of seismic vibrator reaction mass and piston

Modeling of energy transfer and parameter effects on it of a vibrator-ground system

Advanced time-dependent reliability analysis based on adaptive sampling region with Kriging model

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