kevin rutherford (9 resultados)

Paperback. Condición: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.

Condición: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Soft cover. Condición: New. First Edition. PHOTO AND VIDEO OF PAGES TAKEN TO SHOW CONDITION PRIOR TO SHIPPING; PHOTOS EMAILED FOR MORE SPECIFICS WHEN REQUESTED; Book. Book.

Condición: acceptable.

Paperback. Condición: Very Good. There is some shelfwear and spots of smudging and staining on the covers, with bowing of the covers and pages, curling of the tips on both ends, and modest yellowing of the pages; the book is otherwise in very good condition with clean print and a secure binding.

Wraps. Presumed first edition/first printing. 77, [3] p. Includes illustrations. Some illustrations in color. References. This report described the underlying principles and goals of the sandia Accelerated Strategic Computing Initiative (ASCI) Verification and Validation Program Validation Metrics Project. It also gives a technical description fo two case studies, one in structural dynamics and the aother in theromomechanics, that serve to focus the technical work of the prject in Fiscal Year 2001. Good. No dust jacket. Staple bound.

Hardcover. Condición: New.

Spiral bound. Condición: Very good. Presumed First Edition, First printing. xi, [1], 176 pages. Nomenclature. Tables. Figures (some with color). References. Appendices. A case study is reported to document the details of a validation process to assess the accuracy of a mathematical model to represent experiments involving thermal decomposition of polyurethane foam. The focus of the report is to work through a validation process. The process addresses the following activities. The intended application of mathematical model is discussed to better understand the pertinent parameter space. The parameter space of the validation experiments is mapped to the application parameter space. The mathematical models, computer code to solve the models and its (code) verification are presented. Experimental data from two activities are used to validate mathematical models. The first experiment assesses the chemistry model alone and the second experiment assesses the model of coupled chemistry, conduction, and enclosure radiation. The model results of both experimental activities are summarized and uncertainty of the model to represent each experimental activity is estimated. The comparison between the experiment data and model results is quantified with various metrics. After addressing these activities, an assessment of the process for the case study is given. Weaknesses in the process are discussed and lessons learned are summarized.

Staplebound. Condición: Very good. Presumed First Edition, First printing. 72, [2] pages, including covers. Illustrations (some with color). References. Mailing label on back. Staplebound. Unlimited Release. Enhanced software methodology and improved computing hardware have advanced the state of simulation technology to a point where large physics-based codes can be a major contributor in many systems analyses. This shift towards the use of computational methods has brought with its new research challenges in a number of areas including characterization of uncertainty, model validation, and the analysis of computer output. It is these challenges that have motivated the work described in this report. Approaches to and methods for model validation and (model-based) prediction have been developed recently in the engineering, mathematics and statistical literatures. In this report the authors have provided a fairly detailed account of one approach to model validation and prediction applied to an analysis investigating thermal decomposition of polyurethane foam. A model simulates the evolution of the foam in a high temperature environment as it transforms from a solid to a gas phase. The available modeling and experimental results serve as data for a case study focusing on model validation and prediction developmental efforts on this specific thermal application.