Journal of Verification, Validation and Uncertainty Quantification

Newest Issue: (March 2017, Volume 2, Issue 1)
Issues In Progress:
Editorial | December 2016
Ashley F. Emery
   doi: 10.1115/1.4035556
research-article | December 2016
Tyrone S. Phillips and Christopher J. Roy
   doi: 10.1115/1.4035666
research-article | December 2016
research-article | December 2016
Joshua Mullins, Sankaran Mahadevan and Angel Urbina
   doi: 10.1115/1.4035204
research-article | March 2017
research-article | December 2016
research-article | March 2017
research-article | June 2016
research-article | February 2017
AMR Podcast
June 01, 2016
Applied Mechanics Reviews Audio Interview: Prof. Rodney Clifton
32 minutes, 40 seconds

Prof. Rodney Clifton is among the pioneers in the development of experimental techniques for characterizing high-strain-rate material response, recognized with membership in the National Academy of Engineering in 1989 and the ASME Timoshenko Medal in 2000. This AMR audio interview tells his story from a modest background in a one-room country school, through his labor on the early construction of Interstate 80 in Nebraska, to research on computational techniques for wave propagation in elastic-plastic materials, innovative approaches to characterizing the viscoelastic response of vocal folds, and a life-long commitment to teaching and learning.

About This Journal

The Journal of Verification, Validation and Uncertainty Quantification (JVVUQ) disseminates original and applied research, illustrative examples, and high quality validation experiment data from leaders in the field of VVUQ of Computation Models. The JVVUQ is cross cutting and serves an audience of engineers and scientists. It provides special issues featuring challenge problems and discipline specific applications.

Editor: Ashley F. Emery,
University of Washington
View Full Editorial Board
Frequency: Quarterly

The scope of this journal includes although not limited to: Code Verification; Solution Verification; Validation; Uncertainty Quantification; Model Prediction; Model Adequacy; Model Accuracy; Predictive Capacity; Model Maturity; Phenomena Identification and Ranking Table (PIRT); Experimental Uncertainty; Uncertainty in Measurement; Model Uncertainty; Sensitivity Analysis; Model Fidelity; Intended Use; Context of Use; Regulatory Science; Aleatoric Uncertainty; Epistemic Uncertainty; Comparator; Quantification of Margins and Uncertainties (QMU).

ISSN: 2377-2158
eISSN: 2377-2166

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