Combining digital image correlation and probabilistic approaches for the reliability analysis of composite pressure vessels

• Autorzy: Garcia-Martin Roberto , Bautista-de Castro Álvaro , Sánchez-Aparicio Luis Javier , Fueyo José G. , Gonzalez-Aguilera Diego

Identyfikatory

DOI

10.1016/j.acme.2018.10.001

• Języki publikacji: EN

Abstrakty

EN

The accuracy of reliability analysis of composite solutions depends on the robust estimation of the uncertainties associated with the mechanical properties of this material. On this basis, we propose a methodology able to exploit the full field strain data provided by the digital image correlation approach in order to extract the probabilistic density functions of the mechanical properties. These probabilistic density functions are complemented by a global sensitivity analysis based on the polynomial chaos expansion and a random variable approach, based on the latin hypercube sampling method, with the aim of obtaining a stochastic evaluation of composite pressure vessels.

Słowa kluczowe

EN

composite material; digital image correlation; full-field strain; random variable finite element; stochastic analysis

PL

materiał kompozytowy; korelacja obrazu cyfrowego; analiza stochastyczna

• Wydawca: Springer ; Wrocław University of Science and Technology
• Czasopismo: Archives of Civil and Mechanical Engineering
• Rocznik: 2019
• Tom: Vol. 19, no. 1
• Strony: 224--239
• Opis fizyczny: Bibliogr. 46 poz., fot., rys., tab., wykr.

Twórcy

autor

Garcia-Martin Roberto

• Department of Mechanical Engineering, University of Salamanca, Higher Polytechnic School of Zamora, Campus Viriato, Avenida Requejo, 33, 49022 Zamora, Spain

autor

Bautista-de Castro Álvaro

• Department of Cartographic and Land Engineering, University of Salamanca, Higher Polytechnic School of Ávila, Hornos Caleros, 50, 05003 Ávila, Spain

autor

Sánchez-Aparicio Luis Javier

• Department of Cartographic and Land Engineering, University of Salamanca, Higher Polytechnic School of Ávila, Hornos Caleros, 50, 05003 Ávila, Spain

autor

Fueyo José G.

• Department of Mechanical Engineering, University of Salamanca, Higher Polytechnic School of Zamora, Campus Viriato, Avenida Requejo, 33, 49022 Zamora, Spain

autor

Gonzalez-Aguilera Diego

• Department of Cartographic and Land Engineering, University of Salamanca, Higher Polytechnic School of Ávila, Hornos Caleros, 50, 05003 Ávila, Spain

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019)