Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 14 of 14 for “"Uncertainty And Sensitivity Analysis"”.
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Uncertainty and sensitivity analysis of computational simulations of industrial jet flows
… with a stochastic approach. For this purpose, uncertainty quantification and global sensitivity analysis have been carried out in two industrial jet flows with different objectives. First, an impinging swirling air jet for heat transfer purposes is generated by an axisymmetric rotating pipe. …
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Uncertainty and sensitivity analysis methods for improving design robustness and reliability
… components, countless mathematical models, and large, globally-distributed design teams. These features all contribute uncertainty to the system design process that, if not properly managed, can escalate into risks that seriously jeopardize the design program. In fact, recent history is …
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Uncertainty and sensitivity analysis for long-running computer codes : a critical review
… of existing methods for performing probabilistic uncertainty and sensitivity analysis for complex, computationally expensive simulation models. Uncertainty analysis (UA) methods reviewed include standard Monte Carlo simulation, Latin Hypercube sampling, importance sampling, line sampling, and …
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Uncertainty and sensitivity analysis of a fire-induced accident scenario involving binary variables and mechanistic codes
… performance-based fire protection rulemaking standard, Fire Probabilistic Risk Assessment (PRA) methods have been improved, particularly in the areas of advanced fire modeling and computational methods. As the methods for the quantification of fire risk are improved, the methods for the …
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The economics of alternative fuel cycles on sodium-cooled fast reactors and uncertainty and sensitivity analysis of cost estimates
… the capital costs while maintaining safety and performance. This thesis expands on the capital cost model to include uncertainty analysis, as well as performing qualitative cost evaluations for the fuel cycle and O&M costs. An uncertainty model was developed from the available data for …
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Development of a Water Sustainability Index for West Java, Indonesia
… that available water can be used by both present and future generations. To ensure sustainability, a comprehensive knowledge of the current conditions of water resources is necessary. Once this information is obtained, relevant programs can be designed to improve the quality and use of water …
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Uncertainty in Geothermal Numerical Models: a Contribution from Geostatistics and Bayesian Methods
… reservoirs are a valuable tool to understand the processes that control subsurface flow and to help engineers and scientists to manage these resources. However, there are a number of uncertainties that modellers have to face to generate reliable predictions. The problem of geological …
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Probabilistic approach to modeling under changing scenarios
… issue faced at model development stage is the uncertainty involved when calibrating and validating the model. Model inputs and parameters can introduce large amount of uncertainties that can be propagated non-linearly to the model outputs. Additionally, several sets of parameters may also exist …
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Understanding Forest Landscape Response to Global Climatic Change: An Uncertainty Evaluation Based on Spatial Modeling
… changes in temperature, CO2, precipitation and radiation. Climatic changes may affect tree species physiology, abundance, distribution; forest community characteristics (e.g., species richness and diversity); forest landscape composition and pattern; and biome distributions. In this study, …
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CyberGIS-enabled spatial decision support for supply chain optimization with uncertainty quantification
… advantage of geographic information science and systems (GIS) for the synthesis of geospatial data and analysis, domain-specific knowledge and models, and advanced computing technologies. However, a major challenge revolving around the synthesis remains to systematically quantify …
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Uncertainty in the Bifurcation Diagram of a Model of Heart Rhythm Dynamics
<p>To understand the underlying mechanisms of cardiac arrhythmias, computational models are used to study heart rhythm dynamics. The parameters of these models carry inherent uncertainty. Therefore, to interpret the results of these models, uncertainty quantification (UQ) and sensitivity analysis …
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Advancing the application of computational modeling, uncertainty analysis, and sensitivity analysis for quantitative sustainable design of environmental technologies
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-08-01
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Modelling the transmission dynamics of RSV and the impact of routine vaccination
… that these young infants are poor responders to candidate RSV vaccines. This thesis focuses on the use of mathematical models to explore the merits of vaccination. <br></br><br></br> <b>Methods:</b> Following development and analysis of a simple non-age-structured ODE model, we elaborate this to a …
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Advancing wastewater valorization using anaerobic membrane bioreactors with bioaugmentation and ion-exchange, and bio-plastic production
… is essential for protecting human health and the environment. However, current conventional wastewater treatment, which focuses primarily on aerobic conversion of organic pollutants to CO2, requires significant energy input making it costly and less environmentally sustainable. With …