A framework for assessing confidence in computational predictions

Experimental Techniques

Volumn 25, Issue 4, 2001, Pages 50-55

  Hanson, K M ^a   Hemez, F M ^b  

^a Methods for Advanced Scientific Simulation Group   (United States)

^b LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BOUNDARY CONDITIONS; COMPUTATION THEORY; COMPUTER SIMULATION; DATA REDUCTION; MONTE CARLO METHODS; PROBABILITY;

SIMULATION CODES;

CODES (SYMBOLS);

EID: 0035389029     PISSN: 07328818     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1747-1567.2001.tb00034.x     Document Type: Article

References (14)

1. What are validation experiments?
2. Bridging the experimental-modeling gap - The Taylor test: An integrated test used to validate constitutive models
3. On the modeling of the taylor cylinder impact test for orthotropic textured materials: Experiments and simulations
4. A framework for assessing uncertainties in simulation predictions
5. Model validation for a complex jointed structure
6. Design of computer experiments for improving an impact test simulation
7. A toolkit for uncertainty quantification in large computational engineering models
8. Inversion based on computational simulations