Artificial neural network combined with damage parameters to predict fretting fatigue crack initiation lifetime

Wang, Can; Li, Yifei; Tran, Ngoc Hoa; Wang, Dagang; Khatir, Samir; Wahab, Magd Abdel

doi:10.1016/j.triboint.2022.107854

Cited by 31 publications

(4 citation statements)

References 38 publications

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“…One approach to obtaining reference-free deformation measurements is through the double integration of acceleration, although this method is subject to significant low-frequency drift errors [29]. Many attempts have been made to apply high-pass filters, but these attempts can negatively impact the accuracy of the results by removing true lowfrequency components.…”

Section: Methodsmentioning

confidence: 99%

Sensing Mechanism and Real-Time Bridge Displacement Monitoring for a Laboratory Truss Bridge Using Hybrid Data Fusion

et al. 2023

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Remote and real-time displacement measurements are crucial for a successful bridge health monitoring program. Researchers have attempted to monitor the deformation of bridges using remote sensing techniques such as an accelerometer when a static reference frame is not available. However, errors accumulate throughout the double-integration process, significantly reducing the reliability and accuracy of the displacement measurements. To obtain accurate reference-free bridge displacement measurements, this paper aims to develop a real-time computing algorithm based on hybrid sensor data fusion and implement the algorithm via smart sensing technology. By combining the accelerometer and strain gauge measurements in real time, the proposed algorithm can overcome the limitations of the existing methods (such as integration errors, sensor drifts, and environmental disturbances) and provide real-time pseud-static and dynamic displacement measurements of bridges under loads. A wireless sensor, SmartRock, containing multiple sensing units (i.e., triaxial accelerometer and strain gauges) and a Micro Controlling Unit (MCU) were utilized for remote data acquisition and signal processing. A remote sensing system (with SmartRocks, an antenna, an industrial computer, a Wi-Fi hotspot, etc.) was deployed, and a laboratory truss bridge experiment was conducted to demonstrate the implementation of the algorithm. The results show that the proposed algorithm can estimate a bridge displacement with sufficient accuracy, and the remote system is capable of the real-time monitoring of bridge deformations compared to using only one type of sensor. This research represents a significant advancement in the field of bridge displacement monitoring, offering a reliable and reference-free approach for remote and real-time measurements.

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Section: Methodsmentioning

confidence: 99%

Sensing Mechanism and Real-Time Bridge Displacement Monitoring for a Laboratory Truss Bridge Using Hybrid Data Fusion

et al. 2023

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“…Theory of Critical Distance (TCD) is widely used to solve this problem. There are mainly three TCD methods to calculate the damage parameter, namely, hot spot method, line method and volume method [44][45][46]. In this study, line method was used to determine the damage parameter value.…”

Section: Numerical Modelmentioning

confidence: 99%

Effect of Contact Stress and Slip Amplitude on the Fretting Fatigue Behaviour of Ultrasonic Surface Nanocrystallized Tc11 Titanium Alloy

Fan¹,

Liu

Wang

et al. 2023

Preprint

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“…One solution to this problem consists of the application of data science and machine learning approaches, e.g., artificial neural networks [21]. These, however, sacrifice the aspiration of a physical description and understanding of the system for the purpose of a robust prediction of only a few concrete output variables, e.g., the fatigue life.…”

Section: Introductionmentioning

confidence: 99%

Smith–Watson–Topper Parameter in Partial Slip Bimodal Oscillations of Axisymmetric Elastic Contacts of Similar Materials: Influence of Load Protocol and Profile Geometry

Willert

2024

Eng

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Based on a very fast numerical procedure for the determination of the subsurface stress field beneath frictional contacts of axisymmetric elastic bodies under arbitrary 2D oblique loading, the contact mechanical influences of loading parameters and contact profile geometry on the Smith–Watson–Topper (SWT) fatigue crack initiation parameter in elastic fretting contacts with superimposed normal and tangential oscillations are studied in detail. The efficiency of the stress calculation allows for a comprehensive physical analysis of the multi-dimensional parameter space of influencing variables. It is found that a superimposed normal oscillation of the contact can significantly increase or decrease the SWT parameter, depending on the initial phase difference and frequency ratio between the normal and tangential oscillation. Written in proper non-dimensional variables, the rounded flat punch always exhibits smaller values of the SWT parameter, compared to a full paraboloid with the same curvature, while the truncated paraboloid exhibits larger values. A small superimposed profile waviness also significantly increased or decreased the SWT parameter, depending on the amplitude and wave length of the waviness. While both the load protocol and the profile geometry can significantly alter the SWT parameter, the coupling between both influencing factors is weak.

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Artificial neural network combined with damage parameters to predict fretting fatigue crack initiation lifetime

Cited by 31 publications

References 38 publications

Sensing Mechanism and Real-Time Bridge Displacement Monitoring for a Laboratory Truss Bridge Using Hybrid Data Fusion

Sensing Mechanism and Real-Time Bridge Displacement Monitoring for a Laboratory Truss Bridge Using Hybrid Data Fusion

Effect of Contact Stress and Slip Amplitude on the Fretting Fatigue Behaviour of Ultrasonic Surface Nanocrystallized Tc11 Titanium Alloy

Smith–Watson–Topper Parameter in Partial Slip Bimodal Oscillations of Axisymmetric Elastic Contacts of Similar Materials: Influence of Load Protocol and Profile Geometry

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