Design and Application of Multi-body Dynamics Optimization Design Software Architecture

  • Conference paper
  • First Online:
Proceedings of the 2nd International Conference on Mechanical System Dynamics (ICMSD 2023)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Included in the following conference series:

  • 5 Accesses

Abstract

With the development of computer science, the optimization method has been widely used in the dynamic design process of complex multi-body systems. In the optimization design of complex multi-body systems in different fields, there are many problems, such as large amount of calculation, low efficiency and difficult optimization of complex optimization problems. In this paper, a multi-body dynamic optimization design software (MSTMM-OPT) is designed and implemented, which combines the transfer matrix method and the approximate model to realize the optimal design of single-multi-objective problems. The software has the main functions of sensitivity analysis, experiment design, approximate model construction, optimization and solving, and realizes each function and corresponding post-processing result display function combined with interface design. The software can realize the optimization design of complex systems. By calculating a series of standard test functions, the software is compared with the similar multidisciplinary optimization software ISIGHT software, which shows that the main functions of the software are equivalent to those of similar foreign software.

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

Access this chapter

Chapter
EUR 29.95
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 373.43
Price includes VAT (Germany)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
EUR 481.49
Price includes VAT (Germany)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Fletcher R (1970) A new approach to variable metric algorithms. Comput J 13(3):317–322

    Article  Google Scholar 

  2. Goldfarb D (1970) A family of variable-metric methods derived by variational means. Math Comput 24(109):23–26

    Article  MathSciNet  Google Scholar 

  3. Shanno DF (1970) Conditioning of quasi-Newton methods for function minimization. Math Comput 24(109):23–26

    MathSciNet  Google Scholar 

  4. Holland JH (1992) Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. MIT Press

    Google Scholar 

  5. Kennedy J, Eberhart R (1995) Particle Swarm Optimization. In: IEEE International conference on neural networks (Perth, Australia), IEEE Service Center, pp 1942–1948

    Google Scholar 

  6. Kirkpatrick S, Gelatt JCD, Vecchi MP (1983) Optimization by simulated annealing. Science 220(4598):671–680

    Article  MathSciNet  Google Scholar 

  7. Dorigo M (1992) Optimization, learning and natural algorithms. Politecnico di Milano

    Google Scholar 

  8. Pham D T, Ghanbarzadeh A, Koc E et al (2005) The bees algorithms. Manufacturing Engineering Centre, Cardiff University, UK, pp 1–57

    Google Scholar 

  9. Deb K, Pratap A, Agarwal S, Meyariavn T (2002) A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6(2):182–197

    Article  Google Scholar 

  10. Box GE, Wilson K (1951) On the experimental attainment of optimum conditions. J R Stat Soc. Ser B (Methodological) 13(1):1–45

    Google Scholar 

  11. Matheron G (1963) Principles of geo-statistics. Econ Geol 58(8):1246–1266

    Article  Google Scholar 

  12. Sacks J, Welch WJ. Mitchell TJ et al (1989) Design and analysis of computer experiments. Stat Sci 4(4):409–423

    Google Scholar 

  13. Zhang H, Zhang R, Zanoni A, Masarati P (2021) A generalized approach for implicit time integration of piecewise linear/nonlinear systems. Int J Mech Syst Dyn. 1:108–120. https://doi.org/10.1002/msd2.12007

    Article  Google Scholar 

  14. Rui X, Bestle D (2021) Reduced multibody system transfer matrix method using decoupled hinge equations. Int J Mech Syst Dyn. 1:182–193. https://doi.org/10.1002/msd2.12026

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bao Rong .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 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

Yang, S., Rong, B., Lin, S. (2024). Design and Application of Multi-body Dynamics Optimization Design Software Architecture. In: Rui, X., Liu, C. (eds) Proceedings of the 2nd International Conference on Mechanical System Dynamics. ICMSD 2023. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-99-8048-2_175

Download citation

  • DOI: https://doi.org/10.1007/978-981-99-8048-2_175

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-8047-5

  • Online ISBN: 978-981-99-8048-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Navigation