Sandia’s Dakota software (available at ) supports science and engineering transformation through advanced exploration of simulations. Lastly, an encapsulation of the key contributions, the lessons learned, and advice for the future are presented. Beyond the specific details of VVUQ implementations, thematic concepts are found to create differences among the approaches some of the major themes are discussed. Significant differences are noted in the teams' approaches toward all VVUQ activities, and those deemed most relevant are discussed. The discussion is oriented and organized into big picture comparison of data and model usage, VVUQ activities, and differentiating conceptual themes behind more » the teams' VVUQ strategies. Issues that arose throughout the responses that are deemed applicable to the general verification, validation, and uncertainty quantification (VVUQ) community are the main focal point of this paper. Brief summations of teams' responses to the challenge problem are provided. Overviews of the challenge problem workshop, workshop participants, and the problem statement are also included.
#A.t.o.m. 227 english dubbed verification#
« lessĪ discussion of the five responses to the 2014 Sandia Verification and Validation (V&V) Challenge Problem, presented within this special issue, is provided hereafter. The intention is that computational physicists can refer to this chapter for guidance regarding how VVUQ analyses fit into their efforts toward conducting predictive calculations. The discussion in this chapter is at a relatively high level and attempts to explain the key issues associated with the overall conduct of VVUQ. In this chapter, we focus on the differences more » between and interplay among validation, calibration and UQ, as well as the difference between UQ and sensitivity analysis. The particular characteristics of VVUQ elements depend upon where the VVUQ activity takes place in the overall hierarchy of physics and models. VVUQ is complex and necessarily hierarchical in nature. Nonetheless, the workflow represents an essential activity in predictive simulation and modeling. The workflow contained herein is defined at a high level and constitutes an overview of the activity. The overall conduct of verification, validation and uncertainty quantification (VVUQ) is discussed through the construction of a workflow relevant to computational modeling including the turbulence problem in the coarse grained simulation (CGS) approach.
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