Essays about: "Surrogate modeling"

Showing result 1 - 5 of 13 essays containing the words Surrogate modeling.

1. 1. Deep Neural Networks as SurrogateModels for Fuel Performance Codes

   University essay from Uppsala universitet/Tillämpad kärnfysik

   Author : Wenhan Zhou; [2023]
   Keywords : Transuranus; AI; Nuclear Fuel Rods;

   Abstract : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. READ MORE

3. 2. Evaluation of Physics Informed Neural Networks in engineering simple structural analysis problems

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Georgios Nentidis; [2023]
   Keywords : ;

   Abstract : Neural Networks have found many applications for a long time in Machine Learning in different disciplines, and have especially flourished in the last decade because of the ever-increasing processing power especially from GPUs. Because of their ability to operate as universal function approximators and model nonlinear processes, attempts have been made in recent years to be also used for modeling partial differential equation (PDE) solutions. READ MORE

4. 3. Nonlinear Methods of Aerodynamic Data-driven Reduced Order Modeling

   University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

   Author : Arvid Forsberg; [2022]
   Keywords : machine learning; aerodynamics; autoencoder; kernel transformation; principal component analysis; nonlinear; regression; modeling; surrogate model; reduced order modeling; neural network;

   Abstract : Being able to accurately approximate outputs of computationally expensive simulations for arbitrary input parameters, also called missing points estimation, is central in many different areas of research and development with applications ranging from uncertainty propagation to control system design to name a few. This project investigates the potential of kernel transformations and nonlinear autoencoders as methods of improving the accuracy of the proper orthogonal decomposition method combined with regression. READ MORE

5. 4. Inverse Uncertainty Quantification for Sounding Rocket Dispersion

   University essay from KTH/Matematik (Avd.)

   Author : Tove Ågren; [2022]
   Keywords : Uncertainty quantification; Bayesian inference; Rocket dispersion; Neural networks; Markov Chain Monte Carlo.; Osäkerhetskvantifiering; Bayesiansk inferens; Raketspridning; Neurala nätverk; Markovkedje-Monte Carlo;

   Abstract : Sounding rocket impact points are subject to dispersion due to uncertainties in simulation model parameters and perturbations of the rocket trajectory during flight. Estimating the area of dispersion assumes that associated model uncertainties and magnitude of perturbations have already been inferred. READ MORE

6. 5. Estimation of severe crash frequency using two surrogates

   University essay from Lunds universitet/Matematisk statistik

   Author : Zhankun Chen; [2022]
   Keywords : Multivariate Extreme Value distributions; Copula; Extreme Value Theory; Crash frequency; Surrogate Meausre of Safety; Road safety; Mathematics and Statistics;

   Abstract : This thesis is concerned with the estimation of crash frequency based on the bivariate modeling of surrogate measures of safety (SMoS), which serve as indicators for traffic risk. Using the SMoS, any traffic conflict between two road users can be described by their proximity together with their hypothetical consequence. READ MORE