Nan Feng

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  • About me

    I did my Ph.D. in computational mechanics from University of Notre Dame, where I worked with Prof. Kapil Khandelwal. My dissertation is on applications of stochastic methods and machine learning techniques in computational mechanics and topology optimization.

    My research interests are data-driven computational mechanics, uncertainty quantification and robust topology optimization.  Focusing on speeding up computation analysis of complex mechanics systems, I developed efficient and accurate surrogate models and computational frameworks in various mechanics applications such as forward stochastic problems, multiscale analysis, and inverse robust design optimization considering uncertainties.


  • Publications

    In preparation

    • Nan Feng, Kapil Khandelwal, Seth Watts, Daniel Tortorelli, 3D finite strain data-driven nonlinear homogenization based on machine learning models for periodic metamaterials.

    Manuscript ready

    • Nan Feng, Kapil Khandelwal, Seth Watts, Daniel Tortorelli, Nonlinear homogenization and stability analysis of Schwarz periodic metamaterials, Extreme Mechanics Letters.
    • Nan Feng, Guodong Zhang, Kapil Khandelwal, Finite strain robust topology optimization considering multiple uncertain sources, International Journal for Numerical Methods in Engineering.

    Published

    • Guodong Zhang, Nan Feng, Kapil Khandelwal, A computational framework for homogenization and multiscale stability analyses of nonlinear periodic materials, International Journal for Numerical Methods in Engineering, (2021). [DOI]
    • Nan Feng, Guodong Zhang, Kapil Khandelwal, Finite strain FE2 analysis with data-driven homogenization using deep neural networks, Computers & Structures, (2022). [DOI]
    • Nan Feng, Guodong Zhang, Kapil Khandelwal, On the Application of Data-Driven Deep Neural Networks in Linear and Nonlinear Structural Dynamics, arXiv , (2021). [DOI]
    • Nan Feng, Guodong Zhang, Kapil Khandelwal, On the performance evaluation of stochastic finite elements in linear and nonlinear problems, Computers & Structures, (2021). [DOI]

  • Contact

    If interested, please feel free to contact me at fengnan1990@gmail.com. 


 

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