Skip to main content

Optimal Design of Rail Support Structure for Mountain Rail Transport Vehicle

  • Conference paper
  • First Online:
Proceedings of Asia Pacific Computer Systems Conference 2021 (APCS 2021)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 978))

Included in the following conference series:

Abstract

The rail transport vehicle is a solution for the transportation of heavy materials in mountainous areas. The support scheme of the rail is the key and difficult point of the design, but unified design criterion has not been established in many industries. In order to meet the requirements of the technical development of rail transport vehicles and improve the reliability of rail transport, the rail support structure needs to be optimized. This paper uses ANSYS Workbench 19.0 to analyze the strength of the rail support structure of the dual rail transport vehicle, compares the stress conditions of the three support structures, and optimizes the design of installation height of the support to ensure the safety and reliability of the support structure in practical applications. The final analysis results show that the stress of the cross-braced structure scheme is optimal, and within the range allowed by the structural design, the height of the connection point of the diagonal bracing can be increased as much as possible to increase the structural stability.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Amiri N, Tasnim F, Anbarani MT, Dagdeviren C, Karami MA (2021) Experimentally verified finite element modeling and analysis of a conformable piezoelectric sensor. Smart Mater Struct 30(8)

    Google Scholar 

  2. Kamel A, Dammak K, Yangui M, Hami A El, Jdidia MB, Hammami L, Haddar M (2021) A reliability optimization of a coupled soil structure interaction applied to an offshore wind turbine. Appl Ocean Res 113

    Google Scholar 

  3. Gu D, Yang J, Wang H, Lin K, Yuan L, Hu K, Wu L (2021) Laser powder bed fusion of bio-inspired reticulated shell structure: optimization mechanisms of structure, process, and compressive property. CIRP J Manuf Sci Technol 35

    Google Scholar 

  4. Gao H, Liang J, Li B, Zheng C, Matsumoto T (2021) A level set based topology optimization for finite unidirectional acoustic phononic structures using boundary element method. Comput Methods Appl Mech Eng 381

    Google Scholar 

  5. Su J, Lou J, Jiang X (2021) Finite element optimization design of aircraft equipment installation structure. In: IOP conference series: earth and environmental science 769(4)

    Google Scholar 

  6. Peng W-M, Cheng K-J, Liu Y-F, Nizza M, Baur DA, Jiang X-F, Dong X-Tao (2021) Biomechanical and mechanostat analysis of a titanium layered porous implant for mandibular reconstruction: the effect of the topology optimization design. Mater Sci Eng C 124

    Google Scholar 

  7. Li S, Qu Z (2021) Optimized design of structure of high-bending-rigidity circular tube. Sustain 13(8)

    Google Scholar 

  8. Liu ZH, Tian SL, Zeng QL, Gao KD, Cui XL, Wang CL (2021) Optimization design of curved outrigger structure based on buckling analysis and multi-island genetic algorithm. Sci Prog 104(2)

    Google Scholar 

  9. Nia AB, Nejad AF, Xin L, Ayob A, Yahya MY (2020) Energy absorption assessment of conical composite structures subjected to quasi-static loading through optimization based method. Mech Ind 21(1)

    Google Scholar 

  10. Theotokoglou EE, Balokas G, Savvaki EK (2019) Linear and nonlinear buckling analysis for the material design optimization of wind turbine blades. Int J Struct Integrity 10(6)

    Google Scholar 

  11. Wu H, Kuang S, Hou H (2019) Research on application of electric vehicle collision based on reliability optimization design method. Int J Comput Meth 16(7)

    Google Scholar 

  12. Zuo W, Zhao C, Zhou L, Guo G (2019) Comparison of gradient and nongradient algorithms in the structural optimization course. Int J Mech Eng Educ 47(3)

    Google Scholar 

  13. Wang D, Zhang S, Xu W (2019) Multi-objective optimization design of wheel based on the performance of 13° and 90° impact tests. Int J Crashworthiness 24(3)

    Google Scholar 

  14. Wondimu A, Alemup N, Regassa Y (2019). Modeling and simulation of rail end bolt hole and bolted rail joint by FEM, pp 2348–7968

    Google Scholar 

  15. Li S, Feng X (2020) Study of structural optimization design on a certain vehicle body-in-white based on static performance and modal analysis. Mech Syst Signal Proc 135

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhu Chen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Chen, Z., Lin, T., Chen, H., Bai, B., Zhang, G. (2023). Optimal Design of Rail Support Structure for Mountain Rail Transport Vehicle. In: Gokhale, A., Grant, E. (eds) Proceedings of Asia Pacific Computer Systems Conference 2021. APCS 2021. Lecture Notes in Electrical Engineering, vol 978. Springer, Singapore. https://doi.org/10.1007/978-981-19-7904-0_1

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-7904-0_1

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-7903-3

  • Online ISBN: 978-981-19-7904-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics