Bayesian inference for thermal response test parameter estimation and uncertainty assessment

W Choi, H Kikumoto, R Choudhary, R Ooka - Applied Energy, 2018 - Elsevier
The effective ground thermal conductivity and borehole thermal resistance constitute
information needed to design a ground-source heat pump (GSHP). In situ thermal response …

Uncertainty quantification of two-phase flow and boiling heat transfer simulations through a data-driven modular Bayesian approach

Y Liu, NT Dinh, RC Smith, X Sun - International Journal of Heat and Mass …, 2019 - Elsevier
In this paper, we present an approach to inversely quantify the uncertainty of MCFD
simulations through a data-driven modular Bayesian inference. Both the model parameter …

Bayesian interface technique-based inverse estimation of closure coefficients of standard turbulence model by limiting the number of DNS data points for flow …

NK Chaurasia, S Chakraborty - Inverse Problems, 2024 - iopscience.iop.org
Among different numerical methods for modeling turbulent flow, Reynolds-averaged Navier–
Stokes (RANS) is the most commonly used and computationally reasonable. However, the …

Reconstruction of elongated bubbles fusing the information from multiple optical probes through a Bayesian inference technique

S Chakraborty, P Roy Chaudhuri… - Review of Scientific …, 2016 - pubs.aip.org
In this communication, a novel optical technique has been proposed for the reconstruction of
the shape of a Taylor bubble using measurements from multiple arrays of optical sensors …

IDENTIFICATION OF TRANSIENT INTERNAL HEAT SOURCE USING MODIFIED LEVENBERG− MARQUARDT ALGORITHM

S Chakraborty, PK Das - Proceedings of the 24th National and …, 2017 - dl.begellhouse.com
In this communication time dependent temperature of an internal heat source has been
estimated by solving inverse heat transfer problems. The geometry has been described in a …