An Uncertainty Model Of Approximating The Analytical Solution To The Real Case In The Field Of Stress Prediction

• Autorzy: Gutiérrez R. , Ramírez M. , Olmeda E. , Díaz V.

Identyfikatory

DOI

10.1515/mms-2015-0031

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

uncertainty; strain gage measurement; stress concentration factor; weighted least squares algorithm

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2015
• Tom: Vol. 22, nr 3
• Strony: 429--442
• Opis fizyczny: Bibliogr. 30 poz., rys., tab., wykr., wzory

Twórcy

autor

Gutiérrez R.

• Universidad Carlos III de Madrid, Mechanical Engineering Department, Leganés, Avda. de la Universidad, 3028911, Leganés, Madrid, Spain

autor

Ramírez M.

• Universidad Carlos III de Madrid, Mechanical Engineering Department, Leganés, Avda. de la Universidad, 3028911, Leganés, Madrid, Spain

autor

Olmeda E.

• Universidad Carlos III de Madrid, Mechanical Engineering Department, Leganés, Avda. de la Universidad, 3028911, Leganés, Madrid, Spain

autor

Díaz V.

• Universidad Carlos III de Madrid, Mechanical Engineering Department, Leganés, Avda. de la Universidad, 3028911, Leganés, Madrid, Spain

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