Fatigue Life Assessment of Traffic-Signal Support Structures from an Analytical Approach and Long-Term Vibration Monitoring Data

Ding, Jie; Chen, Xinzhong; Zuo, Dunwen; Hua, Jieying

doi:10.1061/(asce)st.1943-541x.0001475

Cited by 18 publications

(10 citation statements)

References 19 publications

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“…When the downhole power drilling method is used, such as turbodrill and screw drill, the torque of the drill string near the downhole power drilling tool is the largest, and the torque near the surface wellhead is the smallest. 18,19 Drill string bending moment. There are many factors that lead to the bending moment of the drill string, such as the irregular trajectory of the well, the centrifugal force generated during the rotation of the drill string, and the gravity of the drill string itself, which can make the drill string bend and deform in different degrees, leading to the bending moment.…”

Section: Drill String Mechanicsmentioning

confidence: 99%

Prediction of shallow bit position based on vibration signal monitoring of bit broken rock

Zou

2021

International Journal of Distributed Sensor Networks

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The speed of drilling has a great relationship with the rock breaking efficiency of the bit. Based on the above background, the purpose of this article is to predict the position of shallow bit based on the vibration signal monitoring of bit broken rock. In this article, first, the mechanical research of drill string is carried out; the basic changes of the main mechanical parameters such as the axial force, torque, and bending moment of drill string are clarified; and the dynamic equilibrium equation theory of drill string system is analyzed. According to the similarity criterion, the corresponding relationship between drilling process parameters and laboratory test conditions is determined. Then, the position monitoring test system of the vibration bit is established. The acoustic emission signal and the drilling force signal of the different positions of the bit in the process of vibration rock breaking are collected synchronously by the acoustic emission sensor and the piezoelectric force sensor. Then, the denoised acoustic emission signal and drilling force signal are analyzed and processed. The mean value, variance, and mean square value of the signal are calculated in the time domain. The power spectrum of the signal is analyzed in the frequency domain. The signal is decomposed by wavelet in the time and frequency domains, and the wavelet energy coefficients of each frequency band are extracted. Through the wavelet energy coefficient calculated by the model, combined with the mean, variance, and mean square error of time-domain signal, the position of shallow buried bit can be analyzed and predicted. Finally, by fitting the results of indoor experiment and simulation experiment, it can be seen that the stress–strain curve of rock failure is basically the same, and the error is about 3.5%, which verifies the accuracy of the model.

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Section: Drill String Mechanicsmentioning

confidence: 99%

Prediction of shallow bit position based on vibration signal monitoring of bit broken rock

Zou

2021

International Journal of Distributed Sensor Networks

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“…On the basis of the central limit theorem, it is usually assumed that fatigue damage follows a Gaussian distribution. So the mean and variance of fatigue life can be, respectively, expressed as

\begin{matrix} lefttrue \\ E [T_{f}] = \frac{1}{μ_{D}} (1 + \frac{σ_{D}^{2}}{2 μ_{D}}) T, \\ Var [T_{f}] = \frac{σ_{D}^{2}}{μ_{D}^{3}} (1 + 1.25 \frac{σ_{D}^{2}}{μ_{D}}) T^{2}, \end{matrix}

where μ D and σ D are the mean and standard deviation of fatigue damage of the critical section within time T , respectively, which can be represented as

\begin{matrix} lefttrue \\ μ_{D} = \int μ_{D} (u) f (u) d u, \\ σ_{D} = \int σ_{D} (u) f (u) d u . \end{matrix}

…”

Section: Fatigue Reliability Analysismentioning

confidence: 99%

“…On the basis of the central limit theorem, [44] it is usually assumed that fatigue damage follows a Gaussian distribution. So the mean and variance of fatigue life can be, respectively, expressed as [45]…”

Section: The Numerical Integral Expression Of the Exceedance Probabilmentioning

confidence: 99%

Reliability analysis of wind turbines under non‐Gaussian wind load

Shuang

Song

2017

Structural Design Tall Build

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Summary Based on translation models, both Gaussian and non‐Gaussian wind fields are generated using the harmony superposition method for examining the reliability of a typical wind turbine at operational and parked conditions. Using the blade aerodynamic model and multibody dynamics, wind turbine responses are calculated and then probability characteristics are analyzed in details. The short‐term extreme response distribution is estimated by the average conditional exceedance rate method at each mean wind speed bin, and the long‐term extreme response distribution is then determined by further integrating the short‐term extreme response distribution conditional on wind speed with the distribution of mean wind speed. Additionally, crack initiation life and crack propagation life are evaluated using the linear cumulative damage theory and linear crack propagation theory, respectively. The results indicate that non‐Gaussian characteristics of wind inflows have a noticeably greater influence on both extreme response and fatigue damage, and the Gaussian assumption cannot suit wind turbine in complex terrain.

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“…The vortex-induced vibrations (VIV) may occur at relatively low wind velocities and would affect the safety and the comfortability of the structure. This is a serious problem for flexible structural components and for other offshore structures exposed to flowing fluids that have been investigated extensively [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Two-Dimensional and Three- Dimensional Responses for Vortex-Induced Vibrations of a Rectangular Prism

et al. 2020

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The accurate prediction of the amplitudes of vortex-induced vibrations (VIV) is important in wind-resistant design. Wind tunnel tests of scaled section models have been commonly used. However, the amplitude prediction processes were usually inaccurate because of insufficient evaluations of three-dimensional (3D) effects. This study presents experimental measurements of VIV responses in a prototype rectangular prism and its 1:1 two-dimensional section model in smooth flow. The results show that the section model vibrates with the same Reynolds number, equivalent mass, frequency, and damping ratio as those of the prototype prism without scale effects. The VIV amplitudes can be qualitatively and quantitatively measured and analyzed. The measured VIV lock-ins of these two models agree with each other. However, the prototype prism produces a 20% higher maximum amplitude than the section model. Several classical VIV mathematical models are used to validate the wind tunnel test results. This confirms that the 3D coupling effects of the modal shape and the imperfect correlations of excitation forces positively contribute to the maximum amplitude. Based on the section model outcomes, the amplified factor of 1.2 is found to be appropriate for the amplitude prediction of VIV for the present prism, and it can also provide a reference for other structures.

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Fatigue Life Assessment of Traffic-Signal Support Structures from an Analytical Approach and Long-Term Vibration Monitoring Data

Cited by 18 publications

References 19 publications

Prediction of shallow bit position based on vibration signal monitoring of bit broken rock

Prediction of shallow bit position based on vibration signal monitoring of bit broken rock

Reliability analysis of wind turbines under non‐Gaussian wind load

Comparison of Two-Dimensional and Three- Dimensional Responses for Vortex-Induced Vibrations of a Rectangular Prism

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