Epistemic and aleatoric uncertainty in modeling

Proceedings of the ASME Design Engineering Technical Conference

Volumn 8, Issue , 2013, Pages

  Segalman, Daniel J ^a   Brake, Matthew R ^b   Bergman, Lawrence A ^c   Vakakis, Alexander F ^c   Willner, Kai ^d  

^a SANDIA NATIONAL LABORATORIES   (United States)

^b SANDIA NATIONAL LABORATORIES   (United States)

^c UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^d UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DESIGN; STRESS ANALYSIS;

EPISTEMIC UNCERTAINTIES; MODEL FRAMEWORK; MODEL PARAMETERS; MODEL PREDICTION; MODEL SOLUTION; PHYSICAL PHENOMENA; SOURCES OF UNCERTAINTY;

UNCERTAINTY ANALYSIS;

EID: 84896987677     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/DETC2013-13234     Document Type: Conference Paper

References (6)

1. American Institute of Aeronautics and Astronautics Staff, 1998. AIAA guide for the verification and validation of com-putational fluid dynamics simulations. Tech. Rep. AIAA G-077-1998, American Institute of Aeronautics and Astronau-tics. ISBN: 1563472856.
2. ASME, 2006. Guide for verification and validation in com-putational solid mechanics, an american national standard. Tech. Rep. ASME V&V10-2006, American Society of Me-chanical Engineers.
3. Committee on Mathematical Foundations of Verification, Validation, and Uncertainty Quantification; Board on Math-ematical Sciences and Their Applications, Division on En-gineering and Physical Sciences, National Research Coun-cil, 2012. Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification. The National Academies Press.
4. Jaynes, E., 1957. "Information theory and statistical me-chanics". Physical review, 106(4), p. 620.
5. Akaike, H., 1974. "A new look at the statistical model identification". IEEE Transactions on Automatic Control, 19(6), December, pp. 716-723.
6. Haag, T., Gonzalez, S. C., and Hanns, M., 2012. "Model validation and selection based on inverse fuzzy arithmetic". Mechanical Systems and Signal Processing, 32, pp. 116-134.