![]() This seminar explores these ideas in the context of the work accomplished by Vivek Ahuja and the team at Research in Flight as part of their ongoing NASA and U.S. Panel Methods: Relevant in the 21st Century? Vivek Ahuja, Research in Flight Panel methods have traditionally aimed to strike the perfect balance between traditional CFD methods and simpler methods like lifting-line and vortex lattice methods.This allows to adjust the model to the actual discretization as it also incorporates the interaction between the discretization and the model itself. For this purpose, the task is formulated as a Markov decision process and solved by Reinforcement Learning (RL). Discretization-Consistent LES Closure Strategies Andrea Beck, University of Stuttgart This talk will discuss how to find optimal, discretization-specific LES closure strategies.This data reduction method, called the Data-informed Local Subspaces (DLS), uses data-driven feature learning and data-enriched finite element methods to transform high fidelity data into a reduced format that promotes rapid data analytics. Rapid Analysis and Management of Large Spatiotemporal Data Ben O’Neill, RNET Technologies and Rohit Deshmukh, Florida Atlantic University This talk will introduce a lossy reduce-then-analyze strategy that enables efficient data storage, transfer, and analysis.This talk will consider projection-based model reduction of parametrized CFD problems to accelerate the solution of many-query/real-time problems by several orders of magnitude, while providing error estimates in predictive settings. Towards Efficient and Reliable Model Reduction of Many-Query CFD Problems Masayuki Yano, University of Toronto Institute for Aerospace Studies Many engineering tasks, such as optimization, uncertainty quantification, and optimal control, require CFD simulation for many different configurations and/or in real time.These algorithms, which we call step-truncation methods, are based on performing one time step with a conventional time-stepping scheme, followed by a truncation operation onto a tensor manifold. Step Truncation Methods for Nonlinear Evolution Equations on Tensor Manifolds Abram Rodgers, Computational Aerosciences Branch, NASA Ames Research Center This seminar will present new adaptive algorithms for temporal integration of nonlinear evolution equations on tensor manifolds.Statistically Consistent Dispersion of Line Loads to Uncertain Integrated Forces and Moments Aaron Burkhead, Computational Aerosciences Branch, NASA Ames Research Center This seminar will describe a method to characterize uncertainty on launch vehicle "line loads" that is consistent with uncertainty in the integrated loads, even if the line loads come from CFD and the integrated loads come from wind tunnel tests.Predicting Transonic Buffet Onset for the Boeing SUGAR Mach 0.8 Transonic Truss-Braced Wing Aircraft Oliver Browne, Science and Technology Corporation, NASA Ames Research Center This seminar will discuss flow past the Boeing Transonic Truss-Braced Wing aircraft, simulated with a Hybrid Reynolds-Averaged Navier-Stokes Large-Eddy Simulations turbulence modeling approach, to study transonic buffet onset and evaluate the predictive capability of the numerical approach.Please click the "Show All" button and try again. Unfortunately, there were no matches for your query. Please turn on Javascript in your browser to use the search function. Just type a name or keyword in the box below. Click the link to view the video or read more about the seminar. Past seminars for which there is a video available will have a link on the title. Previous Topics in the AMS Seminar Series PT, Virtual Meeting This seminar will discuss a supervised deep learning approach, coupled with heuristic convergence criteria, to construct a classification model for detecting the completion (convergence) of computational fluid dynamics simulations. Next Seminar PYCNIC: A Machine Learning Approach for Detecting Convergence of CFD Simulations Joshua Diaz, Science and Technology Corporation, NASA Ames Research Center February 8, 2023, 9:00 a.m. These seminars are typically held weekly, and will be recorded for on-demand playback on the web in the AMS seminar archive. ![]() Hosted by the Computational Aerosciences Branch at the NASA Advanced Supercomputing facility, this seminar series presents talks on recent achievements, innovative tools, and current problems being faced by members of the modeling and simulation community from NASA, government, industry, and academia. Advanced Modeling and Simulation (AMS) Seminars
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