Reliability Assessment for the Compound Planetary Carrier of Tracked Vehicle by Intelligent Simulation Method

:Yang Shaokui;Zhang Futian;:Meng Huirong

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  • Sponsored by: China Association for Science and Technology (CAST)

    Editor-In-Chief: Xu Yida

    ISSN 1000-1093

    　

  • Hosted By: China Ordnance Society

    Published By: Acta Armamentarii

    CN 11-2176/TJ

Acta Armamentarii, a Chinese monthly journal, was first published in 1979. The journal is supervised by China Association for Science and Technology, sponsored by China Ordnance Society，and edited and published by Editorial Board of Acta Armamentarii. The Journal is included in all important domestic databases，and also collected by Engineering Index (EI, USA), Chemical Abstracts (CA, USA), Science Abstracts (SA, UK）, Abstract Journal (AJ, Russia), and Current Bibliography on Science and Technology(CBST).Acta Armamentarii has been selected into the journal Of Ordnance Science and Technology (Weapons Industry) Field Of High Quality Scientific and Technological Periodical Classification Catalogue (2022 edition), ranking T1, and the journal of Automotive Engineering Field of High Quality Scientific and technological Periodical classification Catalogue, ranking T2.
Acta Armamentarii ›› 1999, Vol. 20 ›› Issue (3) : 198-203. DOI: 10.3969/j.issn.1000-1093.1999.03.002
Paper

Reliability Assessment for the Compound Planetary Carrier of Tracked Vehicle by Intelligent Simulation Method

  • 1:Yang Shaokui, Zhang Futian;2:Meng Huirong
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Abstract

Deals with the reliability assessment of complex structural parts when there does not exist explicit functions governing the relationship between the basic vari?ables and the stress outputs. Based on finite element analysis, principles of neural net?works and Monte Carlo simulation, a neural networks Monte Carlo intelligent simula?tion method is presented. Reliability is also analyzed by the method for the structure of a compound planetary carrier in a tracked vehicle.

Key words

planetary gearbox / planetary carrier / artificial neural networks / reliabil?ity / Monte Carlo simulation

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1:Yang Shaokui, Zhang Futian;2:Meng Huirong. Reliability Assessment for the Compound Planetary Carrier of Tracked Vehicle by Intelligent Simulation Method. Acta Armamentarii. 1999, 20(3): 198-203 https://doi.org/10.3969/j.issn.1000-1093.1999.03.002

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