TY - JOUR N2 - Deterministic mechanics has been extensively used by engineers as they needed models that could predict the behavior of designed structures and components. However, modern engineering is now shifting to a new approach where the uncertainty analysis of the model inputs enables to obtain more accurate results. This paper presents an application of this new approach in the field of the stress analysis. In this case, a two-dimensional stress elasticity model is compared with the experimental stress results of five different size tubes measured with resistive strain gages. Theoretical and experimental uncertainties have been calculated by means of the Monte Carlo method and a weighted least square algorithm, respectively. The paper proposes that the analytical engineering models have to integrate an uncertainty component considering the uncertainties of the input data and phenomena observed during the test, that are difficult to adapt in the analytical model. The prediction will be thus improved, the theoretical result being much closer to the real case. L1 - http://journals.pan.pl/Content/90339/PDF/Journal10178-Volume%20XXII%20Issue3_10paper.pdf L2 - http://journals.pan.pl/Content/90339 PY - 2015 IS - No 3 EP - 442 DO - 10.1515/mms-2015-0031 KW - uncertainty KW - strain gage measurement KW - stress concentration factor KW - weighted least square algorithm A1 - Gutiérrez, Ramón A1 - Ramírez, María A1 - Olmeda, Ester A1 - Díaz, Vicente PB - Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation VL - vol. 22 DA - 2015[2015.01.01 AD - 2015.12.31 AD] T1 - An Uncertainty Model Of Approximating The Analytical Solution To The Real Case In The Field Of Stress Prediction SP - 429 UR - http://journals.pan.pl/dlibra/publication/edition/90339 T2 - Metrology and Measurement Systems ER -