Analysis of Factors Influencing Mechanical Properties of Corrugated Steel Based on Entropy Method

Authors

  • Wang Taiheng College of Mechanical Engineering and Transportation, Southwest Forestry University, Kunming 650224, China
  • Li Wei College of Mechanical Engineering and Transportation, Southwest Forestry University, Kunming 650224, China
  • Chen Meng College of Mathematics and Physics, Southwest Forestry University, Kunming 650224, China
  • Liu Bin College of Mechanical Engineering and Transportation, Southwest Forestry University, Kunming 650224, China
  • Wang Jun College of Mechanical Engineering and Transportation, Southwest Forestry University, Kunming 650224, China

DOI:

https://doi.org/10.13052/ejcm2642-2085.3144

Keywords:

Parameter analysis, corrugated steel support, transient response, Numerical simulation, the entropy method

Abstract

In recent years, corrugated steel has been used in some domestic tunnel construction for its large section and high strength, and has become a new type of tunnel support structure. Corrugated steel mechanical properties will directly affect the stability of support structure. Therefore, the important thing is to choose the appropriate parameter to improve the mechanical performance of ripples. Parameters that affecting the mechanical properties of corrugated steel include wave height, corrugation thickness and wave distance. This massage will rely on the Qipan Mountain tunnel project, studying its fabricated corrugated steel supporting structure, and selects corrugated steel with different thicknesses, wave heights and corrugated spans for transient analysis. The largest deformation of corrugated steel under blasting shock is calculated by numerical simulation to react the corrugated steel mechanical properties, and then use the method of Entropy to determine the influence of different parameter values on mechanical performance of corrugated steel. The weight coefficient of wave thickness is 92.38%, the influence weight coefficient of wave height is 7.54%, and the influence weight coefficient of wave short is 0.07%. It is shows that the thickness has the greatest influence on the mechanical properties of the supporting structure, and the wave distance has no influence. Through the above analysis, the parameter design and stability design of corrugated steel support structure can be given some reference and help.

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Author Biography

Wang Taiheng, College of Mechanical Engineering and Transportation, Southwest Forestry University, Kunming 650224, China

Wang Taiheng received his bachelor’s degree in Mechanical Design, Manufacturing and Automation from Hefei University of Technology in 2018, and was admitted by Southwest Forestry University in 2020. He is currently studying for his master’s degree in Mechanical Manufacturing and Automation from Southwest Forestry University. His research areas are CAE simulation, structural shock and response.

References

Keguo Sun, Yiqin Hong, Liang Kuang, Zonghao Hou, Yongjie Tan, Chuxuan Zhao, Zhifei Xiao, ‘Stress Characteristics and Influence Analysis of New corrugated plate Supporting Structure in Tunnel’, Journal of Railway Science and Engineering, pp. 1513–1520, 2021.

Kuang Liang, Xu Weiping, Sun Keguo, Hong Yiqin, Zheng Yuchao, ‘Analysis method and Bearing Characteristics of corrugated plate tunnel support structure’, Chinese Journal of Underground Space and Engineering, pp. 1181–1189, 2021.

Li Shufan, Wang Xiaoming, Jiang He, Li Changzhou, ‘Numerical Analysis of Prefabricated corrugated Steel Tunnel initial support Structure’, Western Transportation Science and Technology, pp. 95–98+168, 2020.

Huang Mingli, Sun Tong, Zhang Yanqiu, Song Yuan, ‘Experimental Study on Mechanical Properties of Corrugated Steel Initial Structural Joint Type’, Tunnel Construction (English and Chinese), pp. 1–7, 2022.

Chen Tian-li, ‘Local Buckling Analysis of Pipe arch corrugated steel composite Pipe Corridor Structure’, Xi’an University of Architecture and Technology, 2020.

Sun Xibo, Liu Baodong, Li Chunhao, Li Tiesheng, Zuo Xiao, ‘Model Test and Numerical Simulation of Initial support structure of Corrugated Steel Reinforced by Square Steel’, Tunnel Construction (English and Chinese), pp. 2058–2065, 2021.

Wang Fengzhi, Yang T.Y. Cui Yao, Chen Tingguo, ‘Experimental and analytical study on the cyclic response of replaceable corrugated steel plate The links’, Journal of Engineering Structures, 2021.

Liu Tian-zheng, Li Chun-hao, Sun Yang, Liu Bao-dong, Li Tie-sheng, Zuo Xiao, ‘Study on Mechanical Performance and Bearing Capacity of Corrugated Steel Lining Structure with Flange Connection’, Journal of Beijing Jiaotong University, pp. 125–134, 2021.

Ye Liudi, Yu Chengshuo, Wu Tianxiang, Li Jiajia, ‘Study on Structural Form Optimization of corrugated steel Initial support in Mountain Tunnel’, Modern Tunnel Technology, pp. 158–164, 2020.

Liu Min, Liu Yuanpeng, Zhang Weizhong, Xu Kui, Li Mengling, ‘Influence of blasting vibration on stability of initial support structure of small clear distance tunnel group’, Science Technology and Engineering, pp. 322–327, 2019.

Ji Ling, Zhou Chuanbo, Zhang Bo, Wang Fengxi, ‘Study on dynamic response characteristics and damage effect of surrounding rock under blasting of large section tunnel’, Journal of Railway Engineering, pp. 161–168, 2021.

Feng Jianqiang, ‘Study on Dynamic Response Characteristics of surrounding rock in shaped Charge Hydraulic Smooth Blasting’, Huazhong University of Science and Technology, 2019.

Lu Hong, Wang Jian, ‘Effect of Tunnel blasting Impact on mises Stress of initial support with Different thickness’, Highway, pp. 268–270, 2016.

Zhou Hongrui, Huo Jingjuan, Luo Wenfeng, ‘Evaluation and analysis of rural financial development level based on entropy method’, Anhui Agricultural Science Bulletin, pp. 1–2+23, 2022.

Published

2023-02-06

How to Cite

Taiheng, W. ., Wei, L. ., Meng, C. ., Bin, L. ., & Jun, W. . (2023). Analysis of Factors Influencing Mechanical Properties of Corrugated Steel Based on Entropy Method. European Journal of Computational Mechanics, 31(04), 539–554. https://doi.org/10.13052/ejcm2642-2085.3144

Issue

Section

Data-Driven Modeling and Simulation – Theory, Methods & Applications