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 20 of 48 for “"Global Sensitivity Analysis"”.
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A global sensitivity analysis of solar virus inactivation modeling
… water, waste stabilization pond water), and a global sensitivity analysis was performed to quantitatively apportion the uncertainty of solar virus inactivation rate constant to different sources. This work demonstrated that environmental (location, diurnal and seasonal motion of the sun) and …
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Local and Global Sensitivity Analysis of Thin Ply Laminated Carbon Composites
… process. First-order variance-based sensitivity analysis using a local analysis of variance technique is used to study the contribution of each individual ply to the variation in as built mechanical properties. Variation in mechanical properties of thick-ply and thin-ply laminate …
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Barrier Island Morphodynamic Insights from Applied Global Sensitivity Analysis and Decadal Exploratory Modeling
… modeling was presented. In the second study, a global sensitivity analysis method, the Sobol method, was used to explore the parameter space of the barrier-marsh-lagoon model. The significant influence of initial barrier geometry, the combination of parameters required for short-term drowning to …
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Enabling End-to-End Sensitivity Analysis of Integrated Models
… parameters most influence system performance. Global sensitivity analysis can help identify dominant uncertainty sources and inform decisions about model reduction, testing priorities, and resource allocation. However, the computational cost of applying global sensitivity analysis to integrated …
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Computational Methods for Estimating Global Sensitivity Indices and Shapley Values
Global sensitivity analysis studies how uncertainty in a model's output can be attributed to uncertainties in the model's inputs. This analysis has applications in various fields such as natural sciences, engineering, social sciences, and mathematical sciences. Several global sensitivity analysis …
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Uncertainty assessment of complex models with application to aviation environmental systems
… factor uncertainty, conducting uncertainty analysis, conducting sensitivity analysis, and presenting results. Factor uncertainty is represented probabilistically, characterized by the principle of maximum uncertainty, and propagated via Monte Carlo simulation. State-of-the-art methods of …
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Sensitivity analysis of nuclear fuel cycle transitions
… tools, Cyclus and DYMOND, with Dakota, a sensitivity analysis toolkit. This work conducted one-at-a-time, synergistic, and global sensitivity analysis with Cyclus-Dakota and DYMOND-Dakota, to understand the interdependence of input parameters on the transition performance from the current …
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A Sensitivity Analysis of the Coefficients for the Transformation of the Electrocardiographic Orthogonal Three-lead System (Frank) to the Standard Twelve-lead System
<p>The SENSITIVITY ANALYSIS is performed on the transformation coefficients of the Frank XYZ signals generating standard 12-lead ECG with respect to diagnosis. The analysis is adapted for the individual waveform and per each lead. The disease/abnormality categories are described in terms of …
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Leveraging Gaussian Process Sampling for Sensitivity Analysis and Optimization in Engineering Design
… experiments are fundamental in engineering analysis and design. However, their high computational cost often prohibits their application in global sensitivity analysis (GSA), optimization, and automated structural health monitoring (SHM). Gaussian processes (GPs) are proposed as a promising …
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Advances in Sobol' Index Estimation: Metamodeling, Multilevel Monte Carlo Metamodeling, and Nested Simulation Techniques
Sobol' indices are widely used in global sensitivity analysis to quantify input variable contributions to output variance in complex computational models. Traditional methods become impractical due to prohibitive computational costs, difficulties managing model stochasticity and multivariate …
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Probabilistic Approximation and Analysis Techniques for Bio-Pathway Models
… tasks such as parameter estimation and global sensitivity analysis can be efficiently carried out through standard Bayesian inference techniques. We have demonstrated the applicability of our techniques by studying two existing pathways taken from Brown et al. and Goldbeter et al., and a …
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Modeling “Abnormal” Ovulatory Dynamics: Enzymes, Insulin, and the Impact of Stress
… define ovulatory criteria, conduct an extensive global sensitivity analysis, and fit parameters to clinical hormone data throughout the ovulatory cycle. We then incorporate four biological pathways through which stress may interact with the ovulatory cycle – increased aromatase activity, …
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Approximation of Large Stiff Acausal Models
… in the context of many downstream tasks, such as global optimization, predicting non-linear system response, and global sensitivity analysis, accelerating all tasks by two orders of magnitude. Lastly, we also show that our surrogate modeling architecture can also be used as a universal adaptive …
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Evaluation and improvement of CERES-Maize evapotranspiration simulations under full and limited irrigation treatments in northern Colorado
… error over the same three years). Second, a global sensitivity analysis was performed on genotype and soil hydraulic parameters in addition to radiation use efficiency, using full and limited irrigation treatments and two global sensitivity analysis methods (Morris and Sobol'). Outputs …
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Application of Bayesian-based uncertainty and global sensitivity analyses to spacecraft thermal design
… to reduce simulation time and implement these analysis techniques in the industry standard software, Cullimore & Ring Technologies Inc., Thermal Desktop. These design methods are applied to the REgolith X-ray Imaging Spectrometer (REXIS), a student built x-ray spectrometer aboard NASA's …
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Accelerating Catalyst Discovery via Ab Initio Machine Learning
… which integrates the descriptor-based kinetic analysis, material fingerprinting and machine learning algorithms, can rapidly explore a broad range of materials space with enormous compositional and configurational degrees of freedom prior to the expensive quantum-chemical calculations and/or …
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Computer-based decision-support methods for hydrological ecosystem services management
… develops an information theoretic approach to global sensitivity analysis for distributed models, demonstrated using SWAT, and later uses the sensitive model parameters in a multi-objective automatic calibration scheme using multi-objective particle swarm optimization (MOPSO). Multiple …
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Sensitivity-based guided automatic calibration of hydrological models
… combines Dynamically Dimensioned Search (DDS) global optimization algorithm with Global Sensitivity Analysis (GSA) methods is introduced. This approach, which is called sensitivity-informed DDS, utilizes sensitivity indices to increase the probability of perturbation for the most sensitive …
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Uncertainty analysis of an aviation climate model and an aircraft price model for assessment of environmental effects
… with various uncertainty assessment and sensitivity analysis methods: the nominal range sensitivity analysis (NRSA), the hybrid Monte Carlo sensitivity analysis, the Monte Carlo regression analysis, the vary-all-but-one Monte Carlo analysis, and the global sensitivity analysis with Sobol' …
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