MODEL FORM AND DISCRETIZATION UNCERTAINTY OF THERMAL-FLUID-ELECTRIC COUPLED THERMOELECTRIC SYSTEMS

2021 ◽  
Author(s):  
Corey E. Clifford ◽  
Shervin Sammak ◽  
Matthew M. Barry
Keyword(s):  
Model Form ◽  
Thermoelectric Systems

Boron nitride zigzag nanoribbons: optimal thermoelectric systems

2015 ◽  
Vol 17 (34) ◽  
pp. 22448-22454 ◽  
Author(s):  
K. Zberecki ◽  
R. Swirkowicz ◽  
J. Barnaś
Keyword(s):  
Density Functional Theory ◽  
Boron Nitride ◽  
Density Functional ◽  
Thermoelectric Effects ◽  
Functional Theory ◽  
Thermoelectric Systems ◽  
The Density Functional Theory ◽  
Boron Nitride Nanoribbons

Conventional and spin related thermoelectric effects in zigzag boron nitride nanoribbons are studied theoretically within the Density Functional Theory (DFT) approach.

Quantification of Model-Form Uncertainty in Drift-Diffusion Simulation Using Fractional Derivatives

2015 ◽  
Author(s):  
Yan Wang
Keyword(s):  
Diffusion Processes ◽  
Planck Equation ◽  
Optimization Procedure ◽  
Physical World ◽  
Drift Diffusion ◽  
Long Range Correlations ◽  
Modeling Process ◽  
Model Form ◽  
Generic Description ◽  
Non Gaussian

In modeling and simulation, model-form uncertainty arises from the lack of knowledge and simplification during modeling process and numerical treatment for ease of computation. Traditional uncertainty quantification approaches are based on assumptions of stochasticity in real, reciprocal, or functional spaces to make them computationally tractable. This makes the prediction of important quantities of interest such as rare events difficult. In this paper, a new approach to capture model-form uncertainty is proposed. It is based on fractional calculus, and its flexibility allows us to model a family of non-Gaussian processes, which provides a more generic description of the physical world. A generalized fractional Fokker-Planck equation (fFPE) is proposed to describe the drift-diffusion processes under long-range correlations and memory effects. A new model calibration approach based on the maximum accumulative mutual information is also proposed to reduce model-form uncertainty, where an optimization procedure is taken.

Probability Bounds Analysis Applied to the Sandia Verification and Validation Challenge Problem

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Aniruddha Choudhary ◽  
Ian T. Voyles ◽  
Christopher J. Roy ◽  
William L. Oberkampf ◽  
Mayuresh Patil
Keyword(s):  
Experimental Data ◽  
Physical Nature ◽  
Distribution Functions ◽  
Verification And Validation ◽  
Cumulative Distribution ◽  
Probability Bounds ◽  
Model Form ◽  
Interval Representation ◽  
Model Predictions ◽  
True System

Our approach to the Sandia Verification and Validation Challenge Problem is to use probability bounds analysis (PBA) based on probabilistic representation for aleatory uncertainties and interval representation for (most) epistemic uncertainties. The nondeterministic model predictions thus take the form of p-boxes, or bounding cumulative distribution functions (CDFs) that contain all possible families of CDFs that could exist within the uncertainty bounds. The scarcity of experimental data provides little support for treatment of all uncertain inputs as purely aleatory uncertainties and also precludes significant calibration of the models. We instead seek to estimate the model form uncertainty at conditions where the experimental data are available, then extrapolate this uncertainty to conditions where no data exist. The modified area validation metric (MAVM) is employed to estimate the model form uncertainty which is important because the model involves significant simplifications (both geometric and physical nature) of the true system. The results of verification and validation processes are treated as additional interval-based uncertainties applied to the nondeterministic model predictions based on which the failure prediction is made. Based on the method employed, we estimate the probability of failure to be as large as 0.0034, concluding that the tanks are unsafe.

scholarly journals NORMALIZATION IN DATABASE DESIGN

2018 ◽  
Vol 4 (1) ◽  
pp. 34
Author(s):  
Zainul Efendy
Keyword(s):  
Data Structures ◽  
Query Language ◽  
Database Design ◽  
Simple Solution ◽  
Transaction Model ◽  
Model Form

This research is done to find a simple solution how to find a normalization techniques are appropriate in database design, normalization techniques has several steps of which are forms of abnormal, normalization first, normalization 2st and normalization 3st, only 3 stages rare to be discussed in this study, as in lectures often find their students do not understand to implement this normalization techniques. The results of this study include determining the database data structures, forming sql (structural query language) by using MySQL DBMS and prototype transaction model form.

scholarly journals The 2007 CAPL Operating Procedure

2009 ◽  
Vol 46 (2) ◽  
pp. 427
Author(s):  
Craig Spurn ◽  
Jana Prete ◽  
Melissa Zerebeski
Keyword(s):  
Detailed Analysis ◽  
Operating Procedure ◽  
Oil And Gas ◽  
Standard Form ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Model Form ◽  
Canadian Association ◽  
Form Approach

This article provides an introduction and overview of the 2007 Canadian Association of Petroleum Landmen Operating Procedure and a detailed analysis of certain key provisions and changes made. The article notes that the 2007 Procedure is responsive to significant developments in the Canadian oil and gas industry and constitutes a major update of the Procedure, including in its emphasis on a “norm-based” approach rather than a “standard form” approach and articulating the need for, and cost of, deviating from the provisions of the model form.

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