... in this work circumvents this issue through the use of uncertainty quantification (UQ) to inform what calibration functions can be replaced with low-dimensional approximations. Parametric functional calibration can be achieved by assuming the class of calibration functions a priori (i.e., η ( x...

...Chanyoung Park; Samaun Nili; Justin T. Mathew; Frederick Ouellet; Rahul Koneru; Nam H. Kim; Sivaramakrishnan Balachandar; Raphael T. Haftka Uncertainty quantification (UQ) is an important step in the verification and validation of scientific computing. Validation can be inconclusive when...

.... This approach, in turn, enables the focused assessment of only those capabilities that are relevant to the challenge problem. The credibility assessment using PCMM is based on different decision attributes that encompass verification, validation, and uncertainty quantification (VVUQ) of the CASL codes. For each...

...@gmail.com 26 05 2020 02 12 2020 13 01 2021 radiometer radiative intensity Bayesian analysis instrument model uncertainty quantification locally linearized errors-in-variables errors-in-variables While simulation is clearly an activity that involves modeling...

... and design of porous femoral stems. Also, to improve the credibility of computational models used for hip implant analysis, which involves numerous uncertainties, there is a need for rigorous uncertainty quantification (UQ) framework for proper model assessment following a credible-modeling standard...

..., each of which is defined as an error and many of which are closely related to current practices in verification, validation, and uncertainty quantification. These thirteen errors represent a theoretically complete set. The verification errors derived in this section are summarized in Table 5...

... and techniques developed in this work can be used for validating a wide range of computational models operating under input uncertainties and sparse experimental datasets. 30 03 2020 05 07 2020 26 08 2020 Taylor impact problem plasticity Johnson–Cook model uncertainty quantification...

...-mail:  duanyanhui@foxmail.com e-mail:  wang_ruili@iapcm.ac.cn e-mail:  mathlx@163.com e-mail:  chenjt02@sina.cn 19 10 2018 14 09 2019 11 11 2019 uncertainty quantification adaptive response surface dimension reduction random uncertainty interval uncertainty...

... and uncertainty quantification or evaluation model development and assessment process approaches, which leads to the qualification of scientific calculation tools. Finally, for an in-depth analysis of the influence of uncertain parameters, a sensitivity analysis based on recent dependence measures is also...

...Barna Szabó; Ricardo Actis; David Rusk An end-to-end example of the application of the procedures of verification, validation, and uncertainty quantification (VVUQ) is presented with reference to mathematical models formulated for the prediction of fatigue failure in the high cycle range...

... and blood pressure measurements in the ascending aorta, the carotid artery, and the femoral artery of a healthy male Merino sheep. Results discuss dynamics obtained using a linear and a nonlinear viscoelastic wall model. fluid mechanics cardiovascular dynamics uncertainty quantification Bayesian...

... uncertainty quantification hierarchy flares helium plume An inherent requirement of any validation and uncertainty quantification (VUQ) analysis is the existence of experimental data, against which simulation data can be validated. However, the scope and complexity of many real-world problems...

... for uncertainty quantification (UQ) of system simulation models is rarely seen. To enable dimensionality reduction of a UQ problem and to thereby make UQ more feasible for industry-grade system simulation models, this paper describes a pragmatic method for uncertainty aggregation. The central idea of the proposed...

... 11 2014 28 05 2016 validation education experiments paper helicopter uncertainty quantification Courses on V&V are common for software engineering [ 1 ]. Teaching V&V as applied to physical systems has lagged somewhat, but there is a growing interest in developing...

... hydraulics Uncertainty analysis Uncertainty quantification Measurement techniques Propulsion systems Fluid mechanics Many experimental programs utilize traversing measurement probes to map a plane of data. Examples include traversing probes to measure fluid flow profiles, material surface...

... Kit for Optimization and Terascale Applications (DAKOTA) optimization and uncertainty quantification (UQ) framework to interface the RANS flow solver, grid generator, and optimization algorithm. The computational model is a simplified full-scale tractor-trailer with flow at highway speed...

... 2014 03 07 2015 flares combustion efficiency validation uncertainty quantification Flaring of waste gas streams is a common practice for disposal of unwanted combustible gases released during various industrial operations. Both government and industry are concerned...

...Hongyi Xu; Zhen Jiang; Daniel W. Apley; Wei Chen Data-driven random process models have become increasingly important for uncertainty quantification (UQ) in science and engineering applications, due to their merit of capturing both the marginal distributions and the correlations of high-dimensional...