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Development of Unsteady Aerodynamic Reduced-Order Models for Aeroelasticity
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Reduced-order modeling for rapid mission planning of the Mars 2020 Helicopter
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High Fidelity Adaptively Refined CFD and Reduced Order Models of a High Aspect Ratio Aeroelastic Wing Wind Tunnel Model
Robust adaptive mesh refinement for transonic conditions is one of the most difficult challenges to advancing CFD usage for certification by analysis. Transonic fluid-structure interaction cases represent an even more difficult challenge for adaptive mesh refinement. Production aircraft furthermore have structural models that have gaps and discontinuities that make the interdomain transfer of loads and deflections difficult. This adds to the challenge of adaptive mesh refinement. An initial attempt to create an adaptive mesh refinement process that refines regions of high flow gradient based around the HeldenMesh software is presented. The method is applied to the Integrated Adaptive Wing Technology Maturation (IAWTM) configuration. That has developed an aspect ratio 13.5 wing aeroelastic wind-tunnel model for testing in the Transonic Dynamics Tunnel (TDT). The high levels of deformation of this wing make the adaptation of meshes for the static shape difficult and has necessitated some creativity in how to efficiently adapt meshes. A time-domain identification of the unsteady system based on flexible modes using the adapted meshes is performed.
State consistence of data-driven reduced order models for parametric aeroelastic analysis
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Reliability calculations for ductile laser welds with stochastic reduced-order models.
Abstract not provided.
Parameterized Reduced Order Models from a Single Mesh Using Hyper-Dual Numbers.
Abstract not provided.
Considerations for Indirect Parameter Estimation in Nonlinear Reduced Order Models.
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Validation of Nonlinear Reduced Order Models with Time Integration Targeted at Nonlinear Normal Modes.
Abstract not provided.
Using Hyper-Dual Numbers To Construct Parameterized Reduced-Order Models.
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Proper Orthogonal Decomposition-Based Reduced Order Modeling for Monte Carlo Simulations in Radiation Transport
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Reduced Order Model Basis Vector Generation: Generates Basis Vectors fro ROMs
libROM is a library that implements order reduction via singular value decomposition (SVD) of sampled state vectors. It implements 2 parallel, incremental SVD algorithms and one serial, non-incremental algorithm. It also provides a mechanism for adaptive sampling of basis vectors.
Stabilization of Projection-Based Reduced Order Models via Optimization-Based Eigenvalue Reassignment.
Abstract not provided.
Reduced Order Modeling Techniques in Experimental Dynamic Substructuring.
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Stabilized projection-based reduced order models for uncertainty quantification.
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Stabilization and fine-tuning of projection-based reduced order models for compressible flow via minimal subspace rotation on the Stiefel manifold.
Abstract not provided.
Fully Parameterized Reduced Order Models Using Hyper-Dual Numbers and Component Mode Synthesis.
Abstract not provided.