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.
Results
Showing 1 to 20 of 47 for “"Multi-fidelity"”.
-
Multi-fidelity strategies for lean burn combustor design
… computational time. A large number of such high-fidelity reactive CFD analyses of the objective and constraint functions are normally required in combustor design and optimisation process. Hence, traditional design strategies utilizing only high-fidelity CFD analyses are often ruled out, given …
-
Simulation intent for multi-fidelity composite structural analysis
… Intent principles to develop an automated multi-fidelity modelling framework, which enables the automatic creation of local laminate failure analysis models embedded within a GFEM model. As Simulation Intent has not been applied without underlying CAD geometry, a key contribution is …
-
Multi-fidelity Design with Optimization Guided Incremental Decisions
… strategy that utilizes physics-based models and Multi-Disciplinary Analysis and Optimization (MDAO) as a framework to approach designs without precedents. The proposed strategy is demonstrated through a design example of an electric regional passenger aircraft, where both analysis fidelity and …
-
AI for materials design: Generative AI with multi-fidelity strategies
… spaces and the high cost of obtaining high-fidelity property labels through quantum or physics-based simulations. This dissertation introduces a unified framework that combines generative artificial intelligence (AI), hierarchical transfer learning, multi-fidelity modeling, and graph-driven …
-
KL divergence – based disagreement sampling for multi-fidelity Bayesian optimization
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
-
Surrogate modeling based on statistical techniques for multi-fidelity optimization
… the same quantity, but with different levels of fidelity (i.e., different levels of uncertainty in the models). In this work, we propose a method based on statistical techniques to build such a multi-fidelity surrogate. We introduce a new definition of fidelity in the form of a variance metric. …
-
Multi-fidelity Modeling and Reinforcement Learning for Energy Optimal Planning
… optimize over. We present a sequence-to-sequence multi-fidelity Gaussian process (MFGP) to learn a data-driven model to predict the energy required to fly a given vehicle trajectory. The goal is to create an accurate energy prediction that minimizes the number of expensive high fidelity …
-
Multi-scale multi-fidelity numerical modelling of wave energy converter farms
L'abstract è presente nell'allegato / the abstract is in the attachment
-
Multi-fidelity analysis and reduced-order modeling of wing-body aerodynamics
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms
-
Multi-Fidelity Study of Complex Multi-Scale Flows Concerning Stagnation Probes
… in aero-engines through the use of RANS and high fidelity wall-resolved Large Eddy Simulations (LES), and help develop methods and techniques to aid in improving their design to reduce the impact of these losses. The measurement of stagnation temperature is an important performance metric for the …
-
Multi-fidelity Optimal Trajectory Generation: Optimal Experiment Design for Robot Learning
… modeling. In the first chapter, we present a multi-fidelity Bayesian optimization method that searches for time-optimal speed profiles for quadrotor aircraft, effectively balancing numerical simulations with real-world flight experiments. The second chapter extends the optimal experiment …
-
Multi-fidelity data fusion for the design of multidisciplinary systems under uncertainty
This thesis presents a multi-fidelity methodology to enable the incorporation of high-fidelity data into a conceptual design process. The methodology is based upon a fidelity weighted combination of Gaussian Process surrogate models that takes into account both the quality of the Gaussian Process …
-
Multi-Fidelity Structural Modeling For Set Based Design of Advanced Marine Vehicles
… allows stakeholders to identify and explore multiple solutions to stakeholder requirements and only eliminating the infeasible poorer solutions after all solutions are completely explored. SBD offers the and advantage over traditional design methods such as Waterfall and Spiral because …
-
Optical Property Prediction and Molecular Discovery through Multi-Fidelity Deep Learning and Computational Chemistry
… the experimental and computational data in multi-fidelity models that achieve greater accuracy and generalizability than previous methods. Additionally, it conducts a thorough benchmark of various strategies for handling multi-fidelity data to inform the modeling choices of future …
-
Multi-fidelity machine learning methods for sputtering yield calculations relevant to magnetic fusion energy systems
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-12-01
-
Multi-Fidelity Analysis and Optimization of Lightweight Structures Subject to Significant Fluid-Structure Interaction Effects
… computational cost is dominated by repeated high-fidelity CFD analyses. Moreover, gradient-based optimization is difficult to apply due to the challenges of differentiating through coupled CFD-CSD solvers. These challenges are addressed in this dissertation by first leveraging gradient-free …
-
Aerodynamics and multi-fidelity surrogate modelling of an inverted wing with vortex generators in ground effect
… study, 2) computational study and 3) multi-fidelity surrogate modelling. <br/><br/>An experimental testing is performed in a wind tunnel equipped with a moving belt rig, studying time-averaged and unsteady aerodynamic characteristics. The experimental work performed shows that a use of …
-
Adjoint-based optimization of U-bend channel flow using a multi-fidelity eddy viscosity turbulence model
… with CFD has largely been limited to low-fidelity simulation methods, such as Reynolds Averaged Navier Stokes (RANS), due to current computational capabilities. However, RANS has been shown to lack sufficient accuracy for certain flows. This thesis presents CFD simulation of a 180 degree …
-
An automatic, multi-fidelity framework for optimizing the performance of super-cavitating hydrofoils using Gaussian process regression and Bayesian optimization
… high accuracy simulations due to the multi-dimensional design space and the interconnectedness of the constraint and objective quantities. This paper will present an automated framework for iterating through a design loop that includes both physics-based computer simulations and …
-
Automation and Expert System Framework for Coupled Shell-Solid Finite Element Modeling of Complex Structures
… in adaptive optimization frameworks, multi-fidelity (coupled shell-solid) FE models are increasingly sought during the early design stages where a large design space is being explored. This is because multi-fidelity models have the potential to provide accurate solutions at a much …
Page 1 of 3