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 40 for “"Physics-Based Modeling"”.
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Multiscale physics-based modeling of friction
… are required to capture and model essential physics of a frictional contact. However, such a detailed model is impractical in large-scale structural dynamics simulations; especially since frictional contacts can be numerous in a given application. Reduced-order models (ROMs) achieve broader …
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Physics-based modeling of 850 nm Tunnel Junction VCSELs
L'abstract è presente nell'allegato / the abstract is in the attachment
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Physics based modeling of urea selective catalytic reduction systems
This thesis addresses control-oriented modeling of urea-selective catalytic reduction (SCR) after-treatment systems used for reducing NO, emission in diesel vehicles. Starting from first-principles, appropriate simplifications are made in the underlying energy and species equations to yield simple …
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Physics Based Modeling and Characterization of Filament Extrusion Additive Manufacturing
… such as injection and blow molding. Filament-based material extrusion AM, commonly referred to as fused filament fabrication (FFF), is one of the most well-known AM modalities using a polymeric feedstock; however, several obstacles currently prohibit widespread use of this manufacturing …
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Multi-Scale Physics Based Modeling of Tire Rolling Resistance Considering Aging
… dissertation aims to develop a comprehensive physics-based model for predicting the rolling resistance of a viscoelastic material due to dynamic deformations caused by tire rotation using an analytical approach. The model was developed by proposing a Gaussian wave function propagating across a …
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High-dimensional MR spectroscopic imaging integrating physics-based modeling and machine learning
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-12-01
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Physics-based modeling of earthquake cycles and tsunamis in strike-slip fault zones
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms
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Physics-based Modeling Techniques for Analysis and Design of Advanced Suspension Systems with Experimental Validation
… materials and controllable devices. Advanced modeling tools validated with experimental test data are developed to help with understanding the fundamentals as well as advanced and novel applications of smart and conventional suspension systems. The project can be divided into two major parts. …
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Linking Hydrological Processes With Water Resource Insights Through Synthesis of Big Data and Physics-Based Modeling
… approaches or theoretical simulation-based approaches. Both of these approaches have particular strengths: direct observations can reveal the uniqueness of place that is essential to many hydrological processes, while generalized simulations can reveal emergent behaviors and provide …
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Combining Physics-based Modeling, Machine Learning, and Data Assimilation for Forecasting Large, Complex, Spatiotemporally Chaotic Systems
… of the true system, as desired in climate modeling. We aim to leverage two types of information in making our forecasts: incomplete scientific knowledge in the form of an imperfect forecast model, and past observations of the true system state that may be sparse and/or noisy. In this …
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Scalable online nonlinear goal-oriented inference with physics-informed maps
This thesis develops a physics-informed k-nearest neighbors approach, which draws from both physics-based modeling and data-driven machine learning. In doing so, our method achieves robustness and increased accuracy with small datasets, while being cheap to apply. Our method tackles the challenges …
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Constitutive Modeling of Friction in Bolted Connections
… is unknown and poses a significant challenge to modeling the nonlinear vibration of assemblies. This thesis applies empirical and physics-based modeling approaches to identify improvements to current models and a potential path towards predictive models of friction in bolted joints. The empirical …
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Deterministic and stochastic modeling of the water entry and descent of three-dimensional cylindrical bodies
An effective physics-based model has been developed that is capable of reliably predicting the motion of a three-dimensional mine-shaped object impacting the water surface from air and subsequently dropping through the water toward the sea bottom. This deterministic model, MINE6D, accounts for …
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Applied Machine Learning for Electrocatalysis
… By integrating data-driven techniques with physics-based modeling, it is possible to accelerate catalyst discovery and mechanistic understanding. This dissertation develops a suite of computational tools to enhance the analysis, interpretation, and predictive modeling of electrocatalytic …
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Design/System Technology Co-optimization of Gallium Nitride High Electron Mobility Transistors for Next-G 3DIC Heterogeneous Integration of Gallium Nitride and Si CMOS
… (Si) bias and control circuitry, and advanced physics-based modeling. This thesis presents the development of a 3DIC consisting of GaN HEMTs and Si CMOS BEOL, in particular W-band GaN HEMTs, Si CMOS BEOL circuits in Intel16, and advanced packaging of dielets. The full chip continuum is …
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MULTIPLE STRATEGIES IN COMPUTATIONAL PROTEIN DESIGN: STRUCTURAL INTUITION, PROBABILISTIC INVERSE FOLDING, AND GENERATIVE APPROACHES
… increasingly feasible through the integration of physics-based modeling, statistical inference, and generative algorithms. This work presents conceptual, methodological, and applied examples spanning multiple stages of protein design, from early structure-guided approaches to inverse backbone …
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Characterization and Modeling of Deformable Soils for Tire Performance Simulations
… for in predicting the tire performance. The modeling of soil presents significant challenges because of its non-linear and complex behavior, which depends on multiple external and internal factors. This thesis focuses on developing a methodology for physics-based modeling of soil for accurate …
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