2006
DOI: 10.1016/j.ast.2006.02.002
|View full text |Cite
|
Sign up to set email alerts
|

Probabilistic transient thermal analysis of an atmospheric reentry vehicle structure

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
16
0

Year Published

2009
2009
2022
2022

Publication Types

Select...
9
1

Relationship

1
9

Authors

Journals

citations
Cited by 56 publications
(17 citation statements)
references
References 11 publications
1
16
0
Order By: Relevance
“…It can be divided by three levels thermal by term of course of transfer coupled, that is the inner heat source coupling with different heat transfer ways, inner heat environment coupling with outer heat environment and radiation coupling with conduction among outer space, solar and space environment. Thermal network equation has been applied widely to solve temperature field distribution of satellite surface [15,2,14,6,7]. But, there are existed some deficiency for simplifying mathematical model and selecting calculated parameters inaccurately, such as heat conduct coefficient, contact thermal resistance and surface radiation parameters.…”
Section: Introductionmentioning
confidence: 99%
“…It can be divided by three levels thermal by term of course of transfer coupled, that is the inner heat source coupling with different heat transfer ways, inner heat environment coupling with outer heat environment and radiation coupling with conduction among outer space, solar and space environment. Thermal network equation has been applied widely to solve temperature field distribution of satellite surface [15,2,14,6,7]. But, there are existed some deficiency for simplifying mathematical model and selecting calculated parameters inaccurately, such as heat conduct coefficient, contact thermal resistance and surface radiation parameters.…”
Section: Introductionmentioning
confidence: 99%
“…The statistical approach, e.g., the Monte Carlo method, employs repetitive iterations for which random values of uncertain parameters are generated according to assumed probability distributions to obtain a sufficiently large number of samples. The thermal conductivity of the macelite insulator, the emissivity of the C/C shell heat shield and aerodynamic heat flux were considered as random parameters [6]. Another example were found in simulating the thermal response of decomposing/ablating materials to predict insulation performance and to assess the reliability of a solid propellant rocket motor's internal insulation design [7].…”
Section: Introductionmentioning
confidence: 99%
“…Although this is not an exact statistic, it is useful to roughly understand the extent to which the temperature distribution is influenced by random input parameters. Nakamura et al [23] performed stochastic heat conduction analysis of atmospheric reentry vehicles. They considered the aerodynamic heat flux, heat shield emissivity, and insulator thermal conductivity to be random variables.…”
Section: Case Of Random Materials Propertiesmentioning
confidence: 99%