Uncertainty quantification for engineering design
نویسندگان
چکیده
منابع مشابه
Uncertainty quantification for engineering design
and keywords page. This is page 2 and should include (a) the article’s full title, (b) an abstract of no more than 300 words, and (c) up to 5 keywords or phrases that reflect the content and major thrust of the article. The abstract should give a succinct account of the objective, methods, results, and significance of the subject matter. Introduction. This section begins on page 3 and should cl...
متن کاملUncertainty Quantification for Robust Design
Simulation-based performance prediction has been an active research topic for many years and is now applied for industrial test-cases in all fields of computational mechanics. However, classical methods developed in Computational Fluid Dynamics (CFD) or Computational Structural Mechanics (CSM) usually assume a perfect knowledge of the parameters of the system studied, such as geometry, operatio...
متن کاملUncertainty Quantification In Large Computational Engineering Models
While a wealth of experience in the development of uncertainty quantification methods and software tools exists at present, a cohesive software package utilizing massively parallel computing resources does not. The thrust of the work to be discussed herein is the development of such a toolkit, which has leveraged existing software frameworks (e.g., DAKOTA (Design Analysis Kit for OpTimizAtion))...
متن کاملInterval Based Finite Elements for Uncertainty Quantification in Engineering Mechanics
This paper illustrates how interval analysis can be used as a basis for generalized models of uncertainty. When epistemic uncertainty is presented as a range and the aleatory is based on available information, or when random variables are assigned an interval probability, the uncertainty will have a Probability Bound (PB) structure. When Interval Monte Carlo (IMC) is used to sample random varia...
متن کاملDimensionality Reduction for Uncertainty Quantification of Nuclear Engineering Models
The task of uncertainty quantification consists of relating the available information on uncertainties in the model setup to the resulting variation in the outputs of the model. Uncertainty quantification plays an important role in complex simulation models of nuclear engineering, where better understanding of uncertainty results in greater confidence in the model and in the improved safety and...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Artificial Intelligence for Engineering Design, Analysis and Manufacturing
سال: 2017
ISSN: 0890-0604,1469-1760
DOI: 10.1017/s0890060417000129