On the value of test data for reducing uncertainty in material models: computational framework and application to spherical indentation
DOI10.1016/j.cma.2018.11.021zbMath1440.62008OpenAlexW2902193440MaRDI QIDQ1986902
P. Stephan Heyns, Erfan Asaadi, Mazdak Tootkaboni, Raphael T. Haftka
Publication date: 9 April 2020
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/2263/68194
mutual informationuncertainty analysisinformation gaindesign of experimentindentation testmaterial model identification
Computational methods for problems pertaining to statistics (62-08) Bayesian inference (62F15) Applications of statistics in engineering and industry; control charts (62P30) Response surface designs (62K20)
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Cites Work
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