Solving heat transfer problems of bodies with moving boundaries using the statistical modeling method

2019 ◽  
Author(s):  
S. A. Gusev ◽  
V. N. Nikolaev
Keyword(s):  
Heat Transfer ◽  
Statistical Modeling ◽  
Modeling Method ◽  
Moving Boundaries ◽  
Transfer Problems

THE MODAL IDENTIFICATION METHOD IN NONLINEAR HEAT TRANSFER PROBLEMS

Equipment ◽  
2006 ◽  
Author(s):  
O. Balima ◽  
D. Petit ◽  
J. B. Saulnier ◽  
M. Girault ◽  
Y. Favennec
Keyword(s):  
Heat Transfer ◽  
Modal Identification ◽  
Identification Method ◽  
Nonlinear Heat Transfer ◽  
Transfer Problems

NUMERICAL EFFICIENCY AND VERIFICATION OF AN IMPLICIT SOLVER TO COMPUTE HEAT TRANSFER PROBLEMS

2019 ◽  
Author(s):  
Tobias Luiz Marchioro Toassi ◽  
Francisco Augusto Aparecido Gomes ◽  
Paulo Gemo Conci
Keyword(s):  
Heat Transfer ◽  
Numerical Efficiency ◽  
Implicit Solver ◽  
Transfer Problems

EVALUATION OF THE RELIABILITY OF COMPLEX TECHNICAL RECONFIGURATION SYSTEMS BY STATISTICAL MODELING METHOD

2019 ◽  
pp. 84-88
Author(s):  
A.Yu. Kulakov
Keyword(s):  
Normal Distribution ◽  
Statistical Modeling ◽  
Quantitative Estimate ◽  
Failure Time ◽  
Modeling Method ◽  
System Failure ◽  
Similar System ◽  
Orbit Control ◽  
Reliability Characteristics ◽  
Complex Technical System

Goal. Assess the reliability of a complex technical system with periodic reconfiguration and compare the results obtained a similar system, but without reconfiguration. Materials and methods. In this article uses the method of statistical modeling (Monte Carlo) to assess the reliability of complex system. We using the normal and exponential distribution of failure time for modeling failures of system elements. Reconfiguration algorithm is the algorithm proposed for the attitude and orbit control system of spacecraft. Results. A computer program has been developed for assessing reliability on the basis of a statistical modeling method, which makes it possible to evaluate systems of varying complexity with exponential and normal distribution, as well as with and without periodic reconfiguration. A quantitative estimate of the reliability as a function of the probability of system failure is obtained. Conclusion. It has been demonstrated that a system with reconfiguration has the best reliability characteristics, both in the case of exponential and normal distribution of failures.

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