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  • Mar
    10

    ME512 Seminar Speaker- Somnath Ghosh

    McCormick - Mechanical Engineering (ME)

    3:00 PM L211, Technological Institute

    EVENT DETAILS

    Machine Learning Enabled Parametric Multiscale Modeling of Metals & Composites: From Fatigue Crack Nucleation to Damage Sensing

    Professor Somnath Ghosh

    Civil & Systems Engineering, Mechanical Engineering, and Materials Science & Engineering

    Johns Hopkins University

    The rapid surge of machine learning (ML) tools in developing efficient surrogate models for solving challenging problems has drawn significant attention from the Mechanics of Materials community. However, ML techniques rely on extensive training datasets and often lack physical interpretability. Also, exclusively data-driven models can result in ill-posed problems or non-physical solutions. Alternatively, the notion of ML-enhanced parametric upscaling has been introduced for multi-scale analysis of fatigue failure in metallics materials, damage and failure of unidirectional and woven composites, and damage sensing in multifunctional composites. The Parametrically Upscaled Constitutive Model (PUCM) for metallic materials like Ti alloys and the Parametrically Upscaled Continuum Damage Mechanics Model (PUCDM) for composites are thermodynamically-consistent constitutive models that bridge multiple spatial scales through the explicit representation of representative aggregated microstructural parameters (RAMPs), representing statistical distributions of morphological and crystallographic descriptors of the microstructure. ML tools, viz. genetic programming-based symbolic regression (GPSR) and artificial neural networks (ANN) are implemented for generating PUCM/PUCDM coefficients as functions of lower-scale RAMPs, using data sets of homogenized micromechanical response variables. For damage sensing in piezocomposite structures, the Parametrically Upscaled Coupled Constitutive Damage Model (PUCCDM) is developed coupling mechanical, damage, and electrical fields. An advanced machine learning model (ConvLSTM) based on the combination of a convolutional neural network and a recurrent neural network is developed to predict microstructural damage mechanisms from macroscopic electric signal and RAMPs. The computational tool chain outputs the highly efficient PUCM/PUCDM/PUCCDM, which are invaluable tools for multiscale analysis with implications in location-specific design.

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    TIME Monday, March 10, 2025 at 3:00 PM - 4:00 PM

    LOCATION L211, Technological Institute    map it

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    CONTACT Jeremy Wells    jeremywells@northwestern.edu EMAIL

    CALENDAR McCormick - Mechanical Engineering (ME)

  • Sep
    8

    Welcome & Breakfast for New McCormick PhD Students

    McCormick School of Engineering and Applied Science

    9:00 AM LR2 & Tech East Plaza, Technological Institute

    EVENT DETAILS

    TIME Monday, September 8, 2025 at 9:00 AM - 10:00 AM

    LOCATION LR2 & Tech East Plaza, Technological Institute    map it

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    CONTACT Andi Joppie    andi.joppie@northwestern.edu EMAIL

    CALENDAR McCormick School of Engineering and Applied Science

  • Sep
    12

    New Undergraduate Fall 2025 Registration

    University Academic Calendar

    All Day

    EVENT DETAILS

    TIME Friday, September 12, 2025

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    CONTACT Office of the Registrar    nu-registrar@northwestern.edu EMAIL

    CALENDAR University Academic Calendar

  • Sep
    15

    Welcome & Luncheon for New Full-time Graduate Students

    McCormick School of Engineering and Applied Science

    11:00 AM Ryan Auditorium & Tech East Plaza, Technological Institute

    EVENT DETAILS

    TIME Monday, September 15, 2025 at 11:00 AM - 12:30 PM

    LOCATION Ryan Auditorium & Tech East Plaza, Technological Institute    map it

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    CONTACT Andi Joppie    andi.joppie@northwestern.edu EMAIL

    CALENDAR McCormick School of Engineering and Applied Science

  • Sep
    16

    Fall Classes Begin. Change of Registration (Drop/Add) Late registration for returning students begins

    University Academic Calendar

    All Day

    EVENT DETAILS

    TIME Tuesday, September 16, 2025

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    CONTACT Office of the Registrar    nu-registrar@northwestern.edu EMAIL

    CALENDAR University Academic Calendar