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Dr. Gunjin Yun Aerospace Structures and Materials Laboratory 3D Digital Image Correlation System MTS Tester Machine Clustered Super Computer KAIST BS (1994) / MS (1996) University of Illinois Urbana-Champaign PhD (2006) Washington University in St. Louis Post-Doc (2007) 1996-2002 Samsung Corporation Institute of Technology Researcher 2008-2013 The University of Akron, Assistant Professor 2013-2016 The University of Akron, Associate Professor 2016-Present Seoul National University, Professor Air Force Summer Faculty Fellowship (2012, 2013) NASA GRC Research Grants (2009-2012, 2014) IN ASML Aerospace Structural and Materials Laboratory has been conducting cutting-edge research on multiscale and multiphysics problems including thermal structural behavior, life prediction, nonlinear deformation and damage models of aircraft structures and composite materials used in extreme loads, including complex loads and high temperature / high pressures. We are working on both experimental and simulation research on composite materials. 서울대학교 창의선도 신진 연구자 지원사업 ASML(Aerospace Structure & Material Lab.) Location : Building 300 Room 503 Tel : +82-2-880-7389 Homepage : asml.snu.ac.kr 3D Printer Molecular Dynamics Simulation of Ablation Thermal Protection System (TPS) Flight Vehicles with high speed are exposed to harsh environment in earth’s atmosphere. Thermal Protection Systems are used to protect people and vehicles from hot temperature. Multiscale Approach with MD (Molecular Dynamics ) Simulation Using MD simulation, we can understand fundamental chemical reactions and improve an accuracy of computational modeling 3C-SiC crystal structure Deep Learning-based Joint Model for Hybrid FEA A Bolts Bearings X Y Z Reference result Forwarding result @12500 epoch Data acquisition Verification of the ANN-based FEA Reference result UEL + ANN result (@20000 epoch) Verification of the ANN-based FEA x y 0.3 [mm] 2 beams Data acquisition ANN-based FEA : Forwarding result @ 25000 epoch Reference result Front-axle simulation (scaled stress) (scaled stress) Molecular Dynamics Simulation of Nanocomposites Nonlinear Micromechanics Analysis Damage Plasticity Constitutive Model for CNT Nanocomposites Mori-Tanaka is one of the analytical homogenization scheme for predicting effective properties of composite materials In order to express physical comprehensive material behaviors, nonlinear behaviors from plasticity & damage are considered Ellipsoidal inclusion Cylinder fiber Aspect ratio Straight fiber with interfacial damage Wavy fiber with interfacial damage Rotational Transformation Overall Scheme for Modified Mori-Tanaka Approach with Matrix Ductile Damage Taking account of interfacial/Matrix damage & effect of CNT waviness + Matrix ductile damage Modified Mori-Tanaka Approach Results & Verifications with FE Flowchart for modified Mori-tanaka Approach Describe the effective behaviors by changing the variables Verification with FE model Coarse grained MD with multi-objective optimization Objective functions 2 , 1 1 n k k ref k fn MSD MSD 2 ref fn Deb, K., et al. (2002). IEEE transactions on evolutionary computation 6(2): 182-197. NSGA-II (Non-dominated Sorting Genetic Algorithm) VARTM (Vacuum Assisted Resin Transfer Molding) (Microscope Mechanical Test System) FE Multiscale Analysis for Composites FE 2 Multiscale Anaylsis for Composite Materials FE 2 Multiscale Anaylsis is one of the numerical homogenization scheme for predicting effective properties of composite materials by solving each scale problems FE 2 Multiscale Anaylsis Results Profile of Macro- & Micro- FE model and results Identifing the plastic deformation distribution of RVE at point A from the anaylsis Microstructure Topology Optimization by Targeting Prescribed Nonlinear Stress-Strain Relationships <Topology algorithm flow> <Initial design> <Optimal design> <Stress-strain curve> <Objective function>

Aerospace Structures and Materials Laboratory · 2019. 10. 10. · Aerospace Structural and Materials Laboratory has been conducting cutting-edge research on multiscale and multiphysics

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  • Dr. Gunjin Yun

    Aerospace Structures and Materials Laboratory

    3D Digital Image Correlation System

    MTS Tester MachineClustered Super Computer

    • KAIST BS (1994) / MS (1996)• University of Illinois Urbana-Champaign PhD (2006)• Washington University in St. Louis Post-Doc (2007)

    • 1996-2002 Samsung Corporation Institute of Technology Researcher• 2008-2013 The University of Akron, Assistant Professor• 2013-2016 The University of Akron, Associate Professor• 2016-Present Seoul National University, Professor

    • Air Force Summer Faculty Fellowship (2012, 2013)• NASA GRC Research Grants (2009-2012, 2014)

    IN ASML

    Aerospace Structural and Materials Laboratory has been

    conducting cutting-edge research on m u l t i s c a l e a n d

    multiphysics problems including thermal structural behavior,

    life prediction, nonlinear deformation and damage models of

    aircraft structures and composite materials used in extreme

    loads, including complex loads and high temperature / high

    pressures. We are working on both experimental and

    simulation research on composite materials.

    서울대학교 창의선도

    신진 연구자 지원사업

    ASML(Aerospace Structure & Material Lab.)Location : Building 300 Room 503

    Tel : +82-2-880-7389

    Homepage : asml.snu.ac.kr

    3D Printer

    Molecular Dynamics Simulation of Ablation

    Thermal Protection System (TPS)

    • Flight Vehicles with high speed are exposed to harsh environment in

    earth’s atmosphere.

    • Thermal Protection Systems are used to protect people and vehicles

    from hot temperature.

    Multiscale Approach with MD (Molecular Dynamics ) Simulation

    • Using MD simulation, we can understand fundamental chemical

    reactions and improve an accuracy of computational modeling

    3C-SiC crystal structure

    Deep Learning-based Joint Model for Hybrid FEA

    A

    Bolts

    Bearings

    X

    Y

    Z

    Reference result Forwarding result @12500 epoch

    Data acquisition Verification of the ANN-based FEA

    Reference result UEL + ANN result (@20000 epoch)

    Verification of the ANN-based FEA

    x

    y0.3 [mm]

    2 beams

    Data acquisition

    ANN-based FEA : Forwarding result @ 25000 epoch

    Reference result

    Front-axle simulation

    (scaled stress)

    (scaled stress)

    Molecular Dynamics Simulation of Nanocomposites

    Nonlinear Micromechanics Analysis

    Damage Plasticity Constitutive Model for CNT Nanocomposites

    • Mori-Tanaka is one of the analytical homogenization scheme for predicting effective properties of composite materials• In order to express physical comprehensive material behaviors, nonlinear behaviors from plasticity & damage are considered

    Ellipsoidal inclusion Cylinder fiber

    Aspect ratio

    Straight fiber with interfacial damage Wavy fiber with interfacial damage

    Rotational

    Transformation

    Overall Scheme for Modified Mori-Tanaka Approach with Matrix Ductile Damage

    • Taking account of interfacial/Matrix damage & effect of CNT waviness

    +

    Matrix ductile damage

    Modified Mori-Tanaka Approach Results & Verifications with FE

    Flowchart for modified Mori-tanaka Approach

    • Describe the effective behaviors by changing the variables • Verification with FE model

    Coarse grained MD with multi-objective optimization

    Objective functions

    2

    ,

    1

    1n

    k k ref

    k

    fn MSD MSD

    2 reffn

    Deb, K., et al. (2002). IEEE transactions on evolutionary computation 6(2): 182-197.

    NSGA-II (Non-dominated Sorting Genetic Algorithm)

    VARTM(Vacuum Assisted Resin Transfer Molding) (Microscope Mechanical Test System)

    FE Multiscale Analysis for Composites

    FE2 Multiscale Anaylsis for Composite Materials• FE2 Multiscale Anaylsis is one of the numerical homogenization scheme for predicting

    effective properties of composite materials by solving each scale problems

    FE2 Multiscale Anaylsis Results• Profile of Macro- & Micro- FE model and results

    • Identifing the plastic deformation distribution of RVE at point A from the anaylsis

    Microstructure Topology Optimization by Targeting PrescribedNonlinear Stress-Strain Relationships