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dc.contributor.authorNeufeld, Esra
dc.contributor.authorKyriacou, Adamos
dc.contributor.authorKainz, Wolfgang
dc.contributor.authorKuster, Niels
dc.date.accessioned2017-05-09T01:34:31Z
dc.date.available2017-05-09T01:34:31Z
dc.date.issued2016
dc.identifier.issn1048-9002
dc.identifier.othervvuq_001_03_031006.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl/handle/yetl/162852
dc.description.abstractThis paper presents a novel approach for simulation validation by combining systematic, National Institute of Standards and Technologyguidelinebased uncertainty assessment with the gamma dose distribution comparison method, and applies the approach to simulated and measured complicated pressure distributions in the field of focused ultrasound. Simulations require verification and validation to demonstrate that they correctly implement the underlying model and sufficiently capture the realworld behavior of the system of interest within the contextofuse. Uncertainty assessment is necessary to determine the quality (strength, success, and range) of the validation. The combined approach of systematic uncertainty evaluation and the gammamethod presented herein permits thorough validation with meaningful and reasonable tolerances (expanded uncertainty: 1.04 dB = 12.7%, 1.88 wavelengths), whereas pointwise comparison would have resulted in an unacceptably large uncertainty (>10 dB) due to the impact of distortion. The approach presented also provides a scalar agreement metric and a natural means of visualizing areas of disagreement. Verification is achieved by identifying the critical physical and numerical phenomena and ascertaining correct handling by means of analytical and numerical benchmarks. The generality of the verification and validation approach presented makes it applicable to a wide range of computational models, beyond the highlighted acoustic simulations.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleApproach to Validate Simulation Based Distribution Predictions Combining the Gamma Method and Uncertainty Assessment: Application to Focused Ultrasound
dc.typeJournal Paper
dc.journal.volume1
dc.journal.issue3
dc.journal.titleJournal of Verification, Validation and Uncertainty Quantification
dc.identifier.doi10.1115/1.4034323
dc.journal.fristpage31006
dc.journal.lastpage31006
dc.identifier.eissn1528-8927
dc.treeJournal of Verification, Validation and Uncertainty Quantification:;2016:;volume( 001 ):;issue: 003
dc.contenttypeFulltext


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