Accurate heat flux estimation in continuous casting Molds via MH-MCMC Bayesian Inverse Method
The present work focuses on accurately estimating heat flux variations on the hot faces of
the billet and slab molds during continuous casting using the Metropolis Hastings–Markov …
the billet and slab molds during continuous casting using the Metropolis Hastings–Markov …
Hyper-reduced-order model for estimating convection heat transfer coefficients of turbine rotors
G Jiang, M Kang, Z Cai, H Wang, Y Liu… - Applied Thermal …, 2024 - Elsevier
Forced convection heat transfer occurs inside the steam turbine, and it is crucial for thermal
and strength analysis to accurately estimate the convection heat transfer coefficients of the …
and strength analysis to accurately estimate the convection heat transfer coefficients of the …
Combination of Karhunen-Loève and intrusive polynomial chaos for uncertainty quantification of thermomagnetic convection problem with stochastic boundary …
C Jiang, Y Qi, E Shi - Engineering Analysis with Boundary Elements, 2024 - Elsevier
Uncertainty propagation analysis plays a crucial role in understanding the impact of
variations in initial condition, boundary condition, and fluid physical properties on simulation …
variations in initial condition, boundary condition, and fluid physical properties on simulation …
Change of Measure for Bayesian Field Inversion with Hierarchical Hyperparameters Sampling
N Polette, OL Maître, P Sochala, A Gesret - arXiv preprint arXiv …, 2024 - arxiv.org
This paper proposes an effective treatment of hyperparameters in the Bayesian inference of
a scalar field from indirect observations. Obtaining the joint posterior distribution of the field …
a scalar field from indirect observations. Obtaining the joint posterior distribution of the field …
Bayesian Inference for Estimating Heat Sources through Temperature Assimilation
H Mousavi, JD Eldredge - ASME Journal of …, 2025 - asmedigitalcollection.asme.org
This paper utilizes a Bayesian inference framework to address the two-dimensional (2D)
steady-state heat conduction problem, focusing on the estimation of unknown distributed …
steady-state heat conduction problem, focusing on the estimation of unknown distributed …
Sparse polynomial chaos expansions for uncertainty quantification in thermal tomography
This contribution presents the identification strategy of thermal parameters relying solely on
data measured on boundaries—thermal tomography. The idea is to obtain crucial …
data measured on boundaries—thermal tomography. The idea is to obtain crucial …
A Rapid Reconstruction Strategy of Full-Domain Temperature Field Based on Discrete Measurement Points for Electronics Thermal Management
Y Ye, Q Ai, X Zhang, M Liu, Y Shuai - Available at SSRN 4800008 - papers.ssrn.com
Dynamic thermal management of multi-heat-source systems increasingly relies on full-
domain thermal analysis and evaluations in real-time. However, the conventional discrete …
domain thermal analysis and evaluations in real-time. However, the conventional discrete …