Aarhus University Seal / Aarhus Universitets segl

S.B. Nielsen

Statistical and numerical methods to improve the transient divided bar method

Research output: Contribution to conferencePosterResearch



The divided bar method is a commonly used method to measure thermal conductivity of rock samples in laboratory.
We present improvements to this method that allows for simultaneous measurements of both thermal conductivity and thermal diffusivity. The divided bar setup is run in a transient mode and the temperature distribution in the stack is simulated by Finite Element Modeling (FEM). A Markov Chain Monte Carlo Metropolis Hastings (MCMCMH) algorithm is used to estimate the thermal parameters of the sample.
Original languageEnglish
Publication year2014
Number of pages1
Publication statusPublished - 2014
EventEGU General Assembly 2014 - Vienna, Austria
Duration: 27 Apr 20142 May 2014


ConferenceEGU General Assembly 2014

See relations at Aarhus University Citationformats

Download statistics

No data available

ID: 84898434