Reliability Simulation and Forecast Based on Virtual Prototype for the Running System of Complicated Equipments

Li Jun Cao; Hui Bin Hu; Gui Bo Yu; Shu Hai Wang

doi:10.4028/www.scientific.net/AMM.543-547.195

Paper Titles

Anisometry Anterior Cruciate Ligament Sport Injury Mechanism Study: A Finite Element Model with Optimization Method
p.173

Simulation of Artificial Lighting Comfort of Cab for High-Speed Train
p.181

Atmospheric Resistance Perturbation Analysis of Spacecraft Orbit
p.185

Modification of Spalart-Allmaras Turbulence Model for Predicting S825 Airfoil Aerodynamic Performance
p.189

Reliability Simulation and Forecast Based on Virtual Prototype for the Running System of Complicated Equipments
p.195

Stochastic Fatigue Reliability Analysis for Torsion Shaft of Military Tracked Vehicles
p.199

Research the Influence of Part State Sliding Surface on SMC Chattering
p.203

Three Dimensional Simulation of the Heat Dissipation of an Automotive Radiator Based on Porous Media Method
p.207

Experiment for a Parallel Hydraulic Hybrid Terminal Tractor
p.211

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Reliability Simulation and Forecast Based on...

Reliability Simulation and Forecast Based on Virtual Prototype for the Running System of Complicated Equipments

Abstract:

The running system is the key part to finish training or battle tasks of complicated equipments. But formidable working conditions influence the measurement of load spectrums and it is difficult to analyze and forecast the reliability of running system. Actual vehicle experiments and virtual prototype are firstly combined to obtain complete load spectrum of running system. According to the materials S-N curve, stress and strain spectrums can be computed. Nominal stress method and local stress and strain method are combined with probability density accumulation damage theory to compute the probability density distribution function. Then, the reliability of running system can be forecasted, which provide adequate reference for the maintenance cycle confirmation and mission reliability prediction.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

195-198

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.195

Citation:

Cite this paper

Online since:

March 2014

Authors:

Li Jun Cao*, Hui Bin Hu, Gui Bo Yu, Shu Hai Wang

Keywords:

Decoupling, Miliatry Tracked Vehicles, Running System, Stochastic Fatigue Reliability

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] V. Raizer, Theory of Reliability in Structural Design, Appl. Mech. Rev, 2009, 57(1): 1-21. H. Joe, A Symptotic Efficiency of the Two-Stage Estimation Method for Copula-Based Models, Journal of Multivariate Analysis, 2005, 94(2): 401-419.

DOI: 10.1016/j.jmva.2004.06.003

Google Scholar

[2] A C O Miranda, M A Meggiolaro, J T P Castro. Fatigue Life and Crack Path Predictions in Generic 2D Structural Components. Engng Frac Mech. 2003, 70(10): 1259-1279.

DOI: 10.1016/s0013-7944(02)00099-1

Google Scholar

[3] H. Joe. Asymptotic Efficiency of the Two-Stage Estimation Method for Copula-Based Models. Journal of Multivariate Analysis. 2005, 94(2): 401-419.

DOI: 10.1016/j.jmva.2004.06.003

Google Scholar

[4] D. Clayton, J. Cuzick. Multivariate Generalizations of the Proportional Hazards Model. J. Roy. Statist. Soc. Ser. 1985, 2: 82-117.

Google Scholar

[5] W. Schiehlen, B. Hu. Spectral Simulation and Shock Absorber Identification. International Journal of NonLinear Mechanics. 2003, 38: 161-171.

DOI: 10.1016/s0020-7462(01)00053-1

Google Scholar

[6] H. Joe Asymptotic Efficiency of the Two-Stage Estimation Method for Copula-Based Models. Journal of Multivariate Analysis. 2005, 94(2): 401-419.

DOI: 10.1016/j.jmva.2004.06.003

Google Scholar