• Komahan Boopathy
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  • Optimization Under Uncertainty
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    Komahan Boopathy

    Komahan Boopathy

    Computational Aerosciences for Optimization Under Uncertainty

    • United States of America
    • Ansys Inc.
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    Publications

    Journal Articles

    1. Semi-Intrusive Stochastic Galerkin Finite Element Method for Adjoint-Based Optimization Under Uncertainty

    Semi-Intrusive Stochastic Galerkin Finite Element Method for Adjoint-Based Optimization Under Uncertainty

    2. Parallel Finite Element Framework for Rotorcraft Multibody Dynamics and Adjoint Sensitivities

    Parallel Finite Element Framework for Rotorcraft Multibody Dynamics and Adjoint Sensitivities

    3. Unified Framework for Training Point Selection and Error Estimation for Surrogate Models

    Unified Framework for Training Point Selection and Error Estimation for Surrogate Models

    Conferences Papers

    1. Semi-Intrusive Uncertainty Propagation and Adjoint Sensitivity Analysis Using the Stochastic Galerkin Method

    Semi-Intrusive Uncertainty Propagation and Adjoint Sensitivity Analysis Using the Stochastic Galerkin Method

    2. Adjoint-based derivative evaluation methods for flexible multibody systems with rotorcraft applications

    Adjoint-based derivative evaluation methods for flexible multibody systems with rotorcraft applications

    3. A Scalable Adjoint Method for Coupled Flexible Multibody Dynamics

    A Scalable Adjoint Method for Coupled Flexible Multibody Dynamics

    4. Robust Optimization of a Wing Under Structural and Material Uncertainties

    Robust Optimization of a Wing Under Structural and Material Uncertainties

    5. Robust Optimizations of Structural and Aerodynamic Designs

    Robust Optimizations of Structural and Aerodynamic Designs

    6. A Multivariate Interpolation and Regression Enhanced Kriging Surrogate Model

    A Multivariate Interpolation and Regression Enhanced Kriging Surrogate Model

    7. Building Aerodynamic Databases Using Enhanced Kriging Surrogate Models

    Building Aerodynamic Databases Using Enhanced Kriging Surrogate Models
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