Prediction model for bearing surface friction coefficient in bolted joints based on GA-BP neural network and experimental data

Chen, Wentao; Li, Ying; Liu, Zhifeng; Zhang, Caixia; Zhao, Yongsheng; Yan, Xing

doi:10.1016/j.triboint.2024.110217

Tribology International

2025

DOI: 10.1016/j.triboint.2024.110217

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Prediction model for bearing surface friction coefficient in bolted joints based on GA-BP neural network and experimental data

Wentao Chen,

Ying Li,

Zhifeng Liu

et al.

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2025

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Cited by 3 publications

References 37 publications

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Analysis of torque variation in bolt fastening on coated steel surfaces

Kang,

Yun,

Hwang

et al. 2025

Tribology International

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Analysis of torque variation in bolt fastening on coated steel surfaces

Kang,

Yun,

Hwang

et al. 2025

Tribology International

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The Effectiveness of Implementing Blended Learning Model in College English Speaking Teaching Supported by Information Technology

Zhang

2024

Applied Mathematics and Nonlinear Sciences

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The blended learning approach has been explored many times in theory and seems to be argued many times about its superiority, but the effect in practice still lacks effective data to prove it. This paper takes full account of the contingencies that exist in teaching practice, focuses on English-speaking teaching as the object of study, and improves the teaching control design. Integrate the concept of blended teaching and clarify the overall mechanism of blended teaching in spoken English. Ensure that the experimental group and the control group have comparable levels of spoken English through random selection, and try our best to exclude the interference of other factors in the teaching experiment. On the other hand, we build an objective model of teaching quality by combining the BP neural network and genetic algorithm. The teaching effect was fully verified by integrating students’ performance and quality evaluation results. The results show that before and after the blended teaching, the students in the control group and the experimental group have different degrees of improvement in satisfaction, learning motivation, and attitude. The model’s evaluation of teaching quality before and after the teaching also validates the effectiveness of the blended teaching mode in teaching spoken English.

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Intelligent Pressure Monitoring Method of BP Neural Network Optimized by Genetic Algorithm: A Case Study of X Well Area in Yinggehai Basin

Liu,

Ye,

Cheng

et al. 2024

Processes

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While drilling formation pressure monitoring is an important basis for ensuring drilling safety and oil and gas discovery, the calculation of existing pressure monitoring methods is complicated and the accuracy is difficult to improve. Taking the actual well data of well area X in Yinggehai Basin as the object, correlation analysis was first carried out to select and standardize the data features, and relevant effective parameters were extracted. Two kinds of neural networks, back-propagation network BP and back-propagation network GA-BP optimized by genetic algorithm, were used to establish artificial intelligence monitoring models of formation pressure based on 10 kinds of measuring and logging data, respectively. The application effect of the model was evaluated based on the results of monitoring the pressure while drilling. The results show that the monitoring accuracy of the BP neural network model is 91.25%, and that of the GA-BP neural network model is 92.89%. The latter has a better monitoring effect on formation pore pressure. In formation pressure monitoring in areas with a high degree of well control, the introduction of artificial intelligence technology has the advantages of simplicity, speed and high precision, and can provide a reference for other areas of pressure monitoring while drilling.

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Prediction model for bearing surface friction coefficient in bolted joints based on GA-BP neural network and experimental data

Cited by 3 publications

References 37 publications

Analysis of torque variation in bolt fastening on coated steel surfaces

Analysis of torque variation in bolt fastening on coated steel surfaces

The Effectiveness of Implementing Blended Learning Model in College English Speaking Teaching Supported by Information Technology

Intelligent Pressure Monitoring Method of BP Neural Network Optimized by Genetic Algorithm: A Case Study of X Well Area in Yinggehai Basin

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