News & Events
Department Events

Events

  • 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.

    more less

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

    LOCATION L211, Technological Institute    map it

    ADD TO CALENDAR

    CONTACT Jeremy Wells    jeremywells@northwestern.edu EMAIL

    CALENDAR McCormick - Mechanical Engineering (ME)

  • Feb
    10

    ME512 Seminar Speaker- Naomi Leonard

    McCormick - Mechanical Engineering (ME)

    3:00 PM L211, Technological Institute

    EVENT DETAILS

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

    LOCATION L211, Technological Institute    map it

    ADD TO CALENDAR

    CONTACT Jeremy Wells    jeremywells@northwestern.edu EMAIL

    CALENDAR McCormick - Mechanical Engineering (ME)

  • Mar
    15

    Winter Classes End

    University Academic Calendar

    All Day

    EVENT DETAILS

    TIME Saturday, March 15, 2025

    ADD TO CALENDAR

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

    CALENDAR University Academic Calendar

  • Mar
    17

    Winter exams begin

    University Academic Calendar

    All Day

    EVENT DETAILS

    TIME Monday, March 17, 2025

    ADD TO CALENDAR

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

    CALENDAR University Academic Calendar

  • Mar
    22

    Spring Break Begins

    University Academic Calendar

    All Day

    EVENT DETAILS

    TIME Saturday, March 22, 2025

    ADD TO CALENDAR

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

    CALENDAR University Academic Calendar

  • Mar
    31

    Spring Break Ends

    University Academic Calendar

    All Day

    EVENT DETAILS

    TIME Monday, March 31, 2025

    ADD TO CALENDAR

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

    CALENDAR University Academic Calendar

  • Apr
    1

    Spring Classes Begin - Northwestern Monday: Classes scheduled to meet on Mondays meet on this day.

    University Academic Calendar

    All Day

    EVENT DETAILS

    TIME Tuesday, April 1, 2025

    ADD TO CALENDAR

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

    CALENDAR University Academic Calendar