TY  - JOUR
PY  - 2017//
TI  - A case study on global sensitivity analysis with dependent inputs: the natural gas transmission model
JO  - Reliability engineering and system safety
A1  - López-Benito, Alfredo
A1  - Bolado-Lavín, Ricardo
SP  - 11
EP  - 21
VL  - 165
IS  - 
N2  - This paper addresses the identification of the most important input parameters in a natural gas transmission model, in particular regarding their possible effects on pressure and temperature drops. This model has the peculiarity that a significant number of its uncertain input parameters are dependent on each other. Combinations of input parameters considered a priori as valid deliver impossible physical results (i.e.: negative pressures). This advises the application of a sampling method that rejects samples that lead to non-physical results. In a Bayesian framework, selective sample rejection modifies the a priori probability density function (pdf) of independent input parameters producing an a posteriori pdf with dependent inputs. Borgonovo's δ has been the Global Sensitivity Analysis measure selected for performing the sensitivity analysis. The results obtained are completely in line with what physical intuition indicates.<p />  <p>Language: en</p>
LA  - en
SN  - 0951-8320
UR  - http://dx.doi.org/10.1016/j.ress.2017.03.019
ID  - ref1
ER  -