All Stories

  1. Optimization under turbulence model uncertainty for aerospace design
  2. Transform & Learn: A data-driven approach to nonlinear model reduction
  3. Reusing Information for Multifidelity Active Learning in Reliability-Based Design Optimization
  4. A multifidelity method for locating aeroelastic flutter boundaries
  5. Extending Horsetail Matching for Optimization Under Probabilistic, Interval, and Mixed Uncertainties
  6. Multifidelity Uncertainty Propagation via Adaptive Surrogates in Coupled Multidisciplinary Systems
  7. Methodology for Path Planning with Dynamic Data-Driven Flight Capability Estimation
  8. Towards a Low-Order Model for Transonic Flutter Prediction
  9. Sensor placement strategy to inform decisions
  10. Optimal decoupling for MDO
  11. Optimization with probabilistic, interval and mixed uncertainties
  12. Sensitivity Analysis Methods for Uncertainty Budgeting in System Design
  13. Data-driven operator inference for nonintrusive projection-based model reduction
  14. Dynamic-Data-Driven Damage Prediction in Aerospace Composite Structures
  15. Methodology for Path Planning with Dynamic Data-Driven Flight Capability Estimation
  16. Dynamic data-driven model reduction: adapting reduced models from incomplete data
  17. Multi-fidelity Design Under Uncertainty
  18. Multifidelity importance sampling
  19. Minimum local distance density estimation
  20. Sensitivity analysis methods for uncertainty budgeting in system design
  21. Multifidelity Uncertainty Propagation in Coupled Multidisciplinary Systems
  22. Methodology for Dynamic Data-Driven Online Flight Capability Estimation
  23. Dynamic data-driven reduced-order models
  24. Surrogate Modeling Approach to Support Real-Time Structural Assessment and Decision Making
  25. Multifidelity Optimization using Statistical Surrogate Modeling for Non-Hierarchical Information Sources
  26. Sensitivity Analysis Methods for Mitigating Uncertainty in Engineering System Design
  27. Sensitivity analysis of surrogate-based methodology for real-time structural assessment
  28. A Domain Decomposition Approach for Uncertainty Analysis
  29. Online Adaptive Model Reduction for Nonlinear Systems via Low-Rank Updates
  30. A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems
  31. Detecting and Adapting to Parameter Changes for Reduced Models of Dynamic Data-driven Application Systems
  32. Uncertainty assessment of complex models with application to aviation environmental policy-making
  33. Special Section on Multidisciplinary Design Optimization
  34. Localized Discrete Empirical Interpolation Method
  35. A Multifidelity Approach to Aircraft Conceptual Design Under Uncertainty
  36. A Dynamic Data Driven Approach to Online Flight Envelope Updating for Self Aware Aerospace Vehicles
  37. A surrogate modeling approach to support real-time structural assessment and decision-making
  38. Nonlinear Goal-Oriented Bayesian Inference: Application to Carbon Capture and Storage
  39. A MATHEMATICAL AND COMPUTATIONAL FRAMEWORK FOR MULTIFIDELITY DESIGN AND ANALYSIS WITH COMPUTER MODELS
  40. Large-Scale Optimization for Bayesian Inference in Complex Systems
  41. Computational Fluid Dynamics for Architectural Design
  42. Goal-Oriented Inference: Approach, Linear Theory, and Application to Advection Diffusion
  43. A variance-based sensitivity index function for factor prioritization
  44. A Decomposition Approach to Uncertainty Analysis of Multidisciplinary Systems
  45. Multifidelity Approaches for Parallel Multidisciplinary Optimization
  46. Provably Convergent Multifidelity Optimization Algorithm Not Requiring High-Fidelity Derivatives
  47. Constrained multifidelity optimization using model calibration
  48. An Information-Theoretic Metric of System Complexity With Application to Engineering System Design
  49. Goal-Oriented Inference: Approach, Linear Theory, and Application to Advection Diffusion
  50. Convergent Multifidelity Optimization using Bayesian Model Calibration
  51. A Bayesian-Based Approach to Multifidelity Multidisciplinary Design Optimization
  52. Development of a computational model for astronaut reorientation
  53. Projection-based model reduction for reacting flows
  54. Distributional sensitivity analysis
  55. Parameter and State Model Reduction for Large-Scale Statistical Inverse Problems
  56. A Methodology for Integrated Conceptual Design of Aircraft Configuration and Operation to Reduce Environmental Impact
  57. Multifidelity Geometry and Analysis in Aircraft Conceptual Design
  58. Kinetics and Kinematics for Translational Motions in Microgravity During Parabolic Flight
  59. Interpolation among reduced-order matrices to obtain parameterized models for design, optimization and probabilistic analysis
  60. Self-Rotations in Simulated Microgravity: Performance Effects of Strategy Training
  61. Missing Point Estimation in Models Described by Proper Orthogonal Decomposition
  62. Explicit Model Predictive Control for Large-Scale Systems via Model Reduction
  63. Krylov projection framework for Fourier model reduction
  64. Parametric Reduced-Order Models for Probabilistic Analysis of Unsteady Aerodynamic Applications
  65. Distributed Multidisciplinary Optimization of Aircraft Design and Takeoff Operations for Low Noise
  66. A Comparison of Two Methods for Predicting Emissions From Aircraft Gas Turbine Combustors
  67. Hessian-Based Model Reduction for Large-Scale Data Assimilation Problems
  68. Application of quantized control to human self-rotation maneuvers in microgravity
  69. Value-Based Multidisciplinary Optimization for Commercial Aircraft Design and Business Risk Assessment
  70. Multidisciplinary Design and Optimization of the Silent Aircraft
  71. Model Reduction for Large-Scale CFD Applications Using Balanced Proper Orthogonal Decomposition
  72. Aerodynamic Data Reconstruction and Inverse Design Using Proper Orthogonal Decomposition
  73. Unsteady Flow Sensing and Estimation via the Gappy Proper Orthogonal Decomposition
  74. Reduced-Order, Trajectory Piecewise-Linear Models for Nonlinear Computational Fluid Dynamics
  75. Value-Based Multidisciplinary Optimization for Commercial Aircraft Design
  76. Value-Based Multidisciplinary Techniques for Commercial Aircraft System Design
  77. Simultaneous Optimization of a Multiple-Aircraft Family
  78. Physically-Based, Real-Time Visualization and Constraint Analysis in Multidisciplinary Design Optimization
  79. Proper Orthogonal Decomposition Extensions for Parametric Applications in Compressible Aerodynamics
  80. Fourier Series for Accurate, Stable, Reduced-Order Models for Linear CFD Applications
  81. Model Reduction for Active Control Design Using Multiple-Point Arnoldi Methods
  82. Controllable and Observable Subspaces in Computational Fluid Dynamics
  83. Multidisciplinary Techniques for Commercial Aircraft System Design
  84. Simultaneous Optimization of a Multiple-Aircraft Family
  85. Application of Model Order Reduction to Compressor Aeroelastic Models
  86. Interactive Applets in Calculus and Engineering Courses
  87. Model Reduction of an Actively Controlled Supersonic Diffuser
  88. Mapping Outcomes in an Undergraduate Aerospace Engineering Program