Uncertainty propagation in transient heat transfer for radial hollow cylinders was analyzed. The outer surface was assumed to be isothermal, and the inner surface was subjected to a convective boundary condition. The temperature distribution within the hollow cylinder was characterized by a stochastic Biot number, stochastic linear nondimensional initial conditions, and various boundary conditions. The resulting uncertainty amplitude exhibited transient temporal evolution. Depending on the stochastic parameters, uncertainty can either increase or decrease. Results are presented for the variation of temperature due to uncertainties in the initial conditions and selected boundary conditions.
Citation: Rama Subba Reddy Gorla, Lochlan Joyce. Quantification of uncertainty propagation for transient heat transfer in a hollow cylinder[J]. Metascience in Aerospace, 2026, 3(1): 15-27. doi: 10.3934/mina.2026002
Uncertainty propagation in transient heat transfer for radial hollow cylinders was analyzed. The outer surface was assumed to be isothermal, and the inner surface was subjected to a convective boundary condition. The temperature distribution within the hollow cylinder was characterized by a stochastic Biot number, stochastic linear nondimensional initial conditions, and various boundary conditions. The resulting uncertainty amplitude exhibited transient temporal evolution. Depending on the stochastic parameters, uncertainty can either increase or decrease. Results are presented for the variation of temperature due to uncertainties in the initial conditions and selected boundary conditions.
| [1] | Bertin JJ, Cummings RM (2021) Aerodynamics for Engineers, Cambridge University Press. https://doi.org/10.1017/9781009105842 |
| [2] | Kline SJ (1963) Describing Uncertainties in Single-Sample Experiments. Mech Eng 75: 3–8. |
| [3] |
Moffat RJ (1988) Describing the Uncertainties in Experimental Results. Exp Therm Fluid Sci 1: 3–17. https://doi.org/10.1016/0894-1777(88)90043-X doi: 10.1016/0894-1777(88)90043-X
|
| [4] | Celik I, Chen CJ, Roache PJ, et al. (1993) Quantification of Uncertainty in Computational Fluid Dynamics, ASME Fluids Engineering Division Summer Meeting, Washington DC, 20–24. |
| [5] |
Mendes MAA, Ray S, Pereira JMC, et al. (2012) Quantification of Uncertainty Propagation due to Input Parameters for Simple Heat Transfer Problems. Int J Thermal Sci 60: 94–105. https://doi.org/10.1016/j.ijthermalsci.2012.04.020 doi: 10.1016/j.ijthermalsci.2012.04.020
|
| [6] |
Panasyuk GY, Yerkes KL (2022) Input Uncertainty and Implication for Modeling Generic and High-Fidelity Transient Convection Problems. J Thermophys Heat Transfer 36: 1025–1034. https://doi.org/10.2514/1.T6444 doi: 10.2514/1.T6444
|
| [7] |
Panasyuk GY, Yerkes KL (2024) Modeling of Uncertainty Propagation for Transient Heat Rejection Problems. J Thermophys Heat Transfer 38: 181–189. https://doi.org/10.2514/1.T6820 doi: 10.2514/1.T6820
|
| [8] |
Muff JD, Gorla RSR, Forster E (2025) Uncertainty Quantification for Transient Thermal Management. J Adv Therm Fluid Syst Aerosp 1: 9–17. https://doi.org/10.2514/6.2025-3341 doi: 10.2514/6.2025-3341
|
| [9] |
Gorla RSR, Forster E, Pentecost B (2025) Uncertainty Propagation in Transient Heat Transfer from an Extended Surface. Int J Turbo Jet Eng 42: 779–792. https://doi.org/10.1515/tjj-2025-0019 doi: 10.1515/tjj-2025-0019
|
| [10] |
Gorla RSR, Pentecost B, Forster E (2025) Quantification of Uncertainty Propagation in Transient Heat Transfer from Flux-base Extended Surface. Int J Turbo Jet Eng 42: 807–824. https://doi.org/10.1515/tjj-2025-0029 doi: 10.1515/tjj-2025-0029
|
| [11] | Carslaw HS, Jaeger JC (1986) Conduction of Heat in Solids, Oxford University Press. |