An Image Recognition Algorithm for Estimating the Influence of Bending Moment on the Stress of the Bolts Connecting the Double Flange Turbine Head Cover and the Stay Ring

Dongyang Hu, Bingxian Zhu, Yalin Jia, Benquan Yu, Dejiang Hu, Haixia Yang

2025

Abstract

In the double flanged head cover, besides the preload, and bending moment due to the water pressure, the connecting bolts take additional bending moment after pre-stressed due to it’s own asymmetrical supported structure. The additional bending moment further increased the equivalent stresses in the bolt and therefore shall be included in the calculation. In order to solve the challenge of bending moment estimation stay ring, in view of the shortcomings of the existing divide and conquer algorithms, an innovative stress influence method of the double flange turbine head cover and stay ring connection bolts based on image recognition algorithm is proposed. This new approach uses the principles of pattern recognition theory to accurately identify and locate key influencing factors, and accordingly performs a sensible classification of indicators to reduce possible interference. At the same time, using the unique mechanism of image recognition algorithm, the design strategy of stress influence is cleverly constructed. The empirical results show that the scheme shows a significant improvement compared with the traditional divide-conquering algorithm in the key performance indicators such as the accuracy of the stress influence of the bolts connecting the double-flange turbine head cover and the stay ring, and the processing efficiency of key factors, showing its obvious strong advantages. In bending moment estimation, the stress influence of the bolts connecting the double flange turbine head cover and the stay ring plays a crucial role, which can accurately predict and optimize the growth trend and output results of the influence of the bending moment estimation on the stress of the bolts connecting the double flange turbine head cover and the stay ring. However, in the face of complex simulation tasks, traditional divide-and-conquer algorithms show some inherent shortcomings, especially when dealing with multi-level challenges, their performance is often unsatisfactory. To overcome this, this study introduces a new idea of the stress influence of the bolts connecting the double-flange turbine head cover and the stay ring optimized by the image recognition algorithm, and accurately controls the influencing parameters through the pattern recognition theory, and uses it as the road map for index allocation, and then uses the image recognition algorithm to innovate and construct the system scheme. The test results clearly point out that in the context of the evaluation criteria, the new scheme has been significantly optimized in terms of accuracy and processing speed for a variety of challenges, showing stronger performance superiority. Therefore, in the influence of bending moment estimation on the stress of the bolts connecting the double flange turbine head cover and the stay ring, the simulation scheme based on the image recognition algorithm successfully overcomes the shortcomings of the traditional divide and conquer algorithm, and significantly improves the accuracy and operation efficiency of the simulation.

Paper Citation

in Harvard Style

Hu D., Zhu B., Jia Y., Yu B., Hu D. and Yang H. (2025). An Image Recognition Algorithm for Estimating the Influence of Bending Moment on the Stress of the Bolts Connecting the Double Flange Turbine Head Cover and the Stay Ring. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 213-220. DOI: 10.5220/0013538500004664

in Bibtex Style

@conference{incoft25,
author={Dongyang Hu and Bingxian Zhu and Yalin Jia and Benquan Yu and Dejiang Hu and Haixia Yang},
title={An Image Recognition Algorithm for Estimating the Influence of Bending Moment on the Stress of the Bolts Connecting the Double Flange Turbine Head Cover and the Stay Ring},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={213-220},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013538500004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - An Image Recognition Algorithm for Estimating the Influence of Bending Moment on the Stress of the Bolts Connecting the Double Flange Turbine Head Cover and the Stay Ring
SN - 978-989-758-763-4
AU - Hu D.
AU - Zhu B.
AU - Jia Y.
AU - Yu B.
AU - Hu D.
AU - Yang H.
PY - 2025
SP - 213
EP - 220
DO - 10.5220/0013538500004664
PB - SciTePress