Search results for: sensitivity-analysis

ICAN Sensitivity Analysis

Author : Stephen Frimpong
File Size : 25.2 MB
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Sensitivity Analysis for Coupled Aero structural Systems

Author : Anthony A. Giunta
File Size : 34.53 MB
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A novel method has been developed for calculating gradients of aerodynamic force and moment coefficients for an aeroelastic aircraft model. This method uses the Global Sensitivity Equations (GSE) to account for the aero-structural coupling, and a reduced-order modal analysis approach to condense the coupling bandwidth between the aerodynamic and structural models. Parallel computing is applied to reduce the computational expense of the numerous high fidelity aerodynamic analyses needed for the coupled aero-structural system. Good agreement is obtained between aerodynamic force and moment gradients computed with the GSE/modal analysis approach and the same quantities computed using the brute-force, computationally expensive, finite difference approximations. A comparison between the computational expense of the GSE/modal analysis method and a pure finite difference is presented. These results show that the GSE/modal analysis approach is the more computationally efficient technique if sensitivity analysis is to be performed for two or more aircraft design parameters.

Sensitivity Analysis of the AVHRR Infrared Cirrus Model

Author : Allan J. Bussey
File Size : 20.47 MB
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A Sensitivity Analysis of World Oil Prices

Author : Mark Rodekohr
File Size : 54.92 MB
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Calibration and Sensitivity Analysis of a Ground water Flow Model of the Coastal Lowlands Aquifer System in Parts of Louisiana Mississippi Alabama and Florida

Author : Angel Martin
File Size : 44.20 MB
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Sensitivity Analysis and Optimization of Discrete Event Systems

Author : Søren Asmussen
File Size : 35.29 MB
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Joint Sensitivity Analysis for Convariance Matrices in Bayesian Linear Regression

Author : Wolfgang Polasek
File Size : 60.36 MB
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Sensitivity Analysis of Heavy Water Reactor Fuel Cycle Parameters to Date Uncertainties

Author : Jong-Kyun Park
File Size : 60.3 MB
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Results of an Integrated Structure control Law Design Sensitivity Analysis

Author :
File Size : 59.69 MB
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Uncertainty and Sensitivity Analysis in Archaeological Computational Modeling

Author : Marieka Brouwer Burg
File Size : 59.48 MB
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This volume deals with the pressing issue of uncertainty in archaeological modeling. Detecting where and when uncertainty is introduced to the modeling process is critical, as are strategies for minimizing, reconciling, or accommodating such uncertainty. Included chapters provide unique perspectives on uncertainty in archaeological modeling, ranging in both theoretical and methodological orientation. The strengths and weaknesses of various identification and mitigation techniques are discussed, in particular sensitivity analysis. The chapters demonstrate that for archaeological modeling purposes, there is no quick fix for uncertainty; indeed, each archaeological model requires intensive consideration of uncertainty and specific applications for calibration and validation. As very few such techniques have been problematized in a systematic manner or published in the archaeological literature, this volume aims to provide guidance and direction to other modelers in the field by distilling some basic principles for model testing derived from insight gathered in the case studies presented. Additionally, model applications and their attendant uncertainties are presented from distinct spatio-temporal contexts and will appeal to a broad range of archaeological modelers. This volume will also be of interest to non-modeling archaeologists, as consideration of uncertainty when interpreting the archaeological record is also a vital concern for the development of non-formal (or implicit) models of human behavior in the past.

Sensitivity Analysis of Arbitrarily Identified Simultaneous equation Models

Author : Kenneth C. Land
File Size : 66.95 MB
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Model Parametric Sensitivity Analysis and Nonlinear Parameter Estimation

Author : Malamas Caracotsios
File Size : 76.70 MB
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Experimental Design Sensitivity Analysis of Steering Geometry and Suspension Parameters

Author :
File Size : 43.74 MB
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Abstract: The main aim of this study is to evaluate the individual and interactive impact of steering geometry and suspension parameters on ride comfort and road holding throughout the predetermined loading range. A series of experimental runs were taken on a quarter car suspension test rig and the readings were analyzed by implementing the fractional factorial method of DOE. Regression analysis and ANOVA quantified the nature and extent of the relative influences of each of these factors and their interactions. Compared to ride comfort, it was found that a lot of interactions involving the steering geometry variables had a significant impact up on road holding. Eventually, a multi-objective model for evaluating ride comfort and road holding on the basis of various parameters was proposed. The main effects and interaction plots were plotted and corresponding inferences were verified by plotting contour and surface plots of the significant interactions for both ride comfort and road holding.

Sensitivity Analysis of Vehicle Tripped Rollover Model Final Report

Author : Andrzej G. Nalecz
File Size : 42.95 MB
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Sensitivity Analysis of the Catchment Modeling Framework CMF and Use in Evaluating Two Agricultural Management Scenarios

Author : John W. P. Metta
File Size : 71.14 MB
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Abstract Watershed-scale fate/transport modeling of contaminants is a tool that scientists and land managers can use to assess pesticide contamination to stream systems. The Catchment Modeling Framework (CMF) is a catchment-scale fate/transport modeling tool. It was developed to help scientists and land managers assess the effects of possible land-use decisions on water quality. This study performed a sensitivity analysis on the CMF using Extended Fourier Amplitude Sensitivity Testing (FAST) methods. The hydrology model and the pesticide model were analysed separately. Additionally, results of a local sensitivity analysis are compared to a global analysis. Finally, the model is used to assess the effectiveness of two possible land-use strategies. The sensitivity analysis showed that initial soil moisture and porosity were the dominant first-order parameters for the hydrology model. Combined, they yielded greater than 50% of the total first-order sensitivity. Results from the local sensitivity analysis compared less than favorably with the global analysis. The sensitivity analysis of the pesticide model showed that initial soil moisture, porosity and saturated hydraulic conductivity are the dominant first-order parameters, again combining to yield greater than 50% of the total first order sensitivity. The model was then used to assess the relative benefit of reducing the cultivated area of an agricultural catchment (field size) vs. reducing the amount of pesticides that land directly on the soil. Results show that reduction in field size yields little benefit when compared to reducing the amount of pesticides landing on the soil. Management implications of this finding are explored.

Sensitivity Analyses of Wastewater Treatment Plant Independent State Variables and Technological Parameters

Author : Karl Goodman Voelkel
File Size : 24.66 MB
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An Intersectoral Interregional Market Equilibrium Sensitivity Analysis of the U S Food Industry

Author : Conrado M. Gempesaw
File Size : 45.37 MB
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Computer Program for Analysis of Imperfection Sensitivity of Ring Stiffened Shells of Revolution

Author : Gerald A. Cohen
File Size : 46.86 MB
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Author : Tom Bauermann
File Size : 78.7 MB
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Agent-based computational economics (ACE) is gaining interest in macroeconomic research. Agent-based models (ABM) are increasingly able to replicate micro- and macroeconomic stylised facts and to extend the knowledge about real-world economic systems. These advances allow ABM to become a valuable and more frequently used tool for policy analysis in academia and economic practice. However, ACE is a rather complex approach to already complex investigations like policy analyses, i.e. the analyses on how a variety of policy measures affects the (model) economy, which makes policy analyses in ABM prone to critique. The following research paper addresses these problems. We have developed a procedure for policy experiments in ACE which helps to conceptualise and conduct policy experiments in macroeconomic ABM efficiently. The procedure makes policy implementation decisions and their consequences transparent by conducting what we term the policy implementation sensitivity analysis (POSA). The application of the procedure produces graphical and/or numerical reports that should be included in the appendix of the original research paper in order to increase the credibility of the research, similar to proofs and protocols in analytical and empirical research.

Sensitivity Analysis in Practice

Author : Andrea Saltelli
File Size : 89.2 MB
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Sensitivity analysis should be considered a pre-requisite for statistical model building in any scientific discipline where modelling takes place. For a non-expert, choosing the method of analysis for their model is complex, and depends on a number of factors. This book guides the non-expert through their problem in order to enable them to choose and apply the most appropriate method. It offers a review of the state-of-the-art in sensitivity analysis, and is suitable for a wide range of practitioners. It is focussed on the use of SIMLAB – a widely distributed freely-available sensitivity analysis software package developed by the authors – for solving problems in sensitivity analysis of statistical models. Other key features: Provides an accessible overview of the current most widely used methods for sensitivity analysis. Opens with a detailed worked example to explain the motivation behind the book. Includes a range of examples to help illustrate the concepts discussed. Focuses on implementation of the methods in the software SIMLAB - a freely-available sensitivity analysis software package developed by the authors. Contains a large number of references to sources for further reading. Authored by the leading authorities on sensitivity analysis.