Events at The University of Manchester
  • University home
  • Events
  • Home
  • Exhibitions
  • Conferences
  • Lectures and seminars
  • Performances
  • Events for prospective students
  • Sustainability events
  • Family events
  • All Events

EUCLID: Learning constitutive models without stress data

Dates:31 January 2023
Times:15:00 - 16:00
What is it:Lecture
Organiser:Department of Mechanical, Aerospace and Civil Engineering
Who is it for:University staff, External researchers, Adults, Current University students, General public
Speaker:Dr. Sid Kumar
See travel and contact information
Add to your calendar

More information

  • Zoom meeting

Other events

  • In category "Lecture"
  • In group "(FSE) Modelling and Simulation Centre Seminar Series"
  • By Department of Mechanical, Aerospace and Civil Engineering

Note: This is a hybrid event and will be both in-person and through zoom.

Abstract of the lecture:

Despite the recent advances in data-driven methods, constitutive modelling of materials remains embedded in a supervised setting where the stress-strain pairs are assumed to be available. However, in most common experimental setups, it is difficult to probe the entire stress-strain space, while getting such labelled data is expensive via multiscale simulations. The biggest challenge is – how does one even measure full stress tensors (forces are only boundary-averaged projections of stress tensors) for learning the stress-strain relations?

To bypass these challenges, we recently proposed a new data-driven framework called EUCLID which stands for – Efficient Unsupervised Constitutive Law Identification and Discovery (https://euclid-code.github.io/). The approach is unsupervised, i.e., it requires no stress data but only displacement and global force data, which are realistically available through mechanical testing and digital image correlation techniques. The problem of unsupervised discovery is solved by leveraging physical laws such as conservation of linear momentum in the bulk and at the loaded boundary of the domain. We discover physically interpretable models embodied by either – (i) parsimonious mathematical expressions discovered through sparse regression of a large catalogue of candidate functions, or (ii) ensemble of physics-consistent neural networks with higher generalization capability at the cost of analytical treatment. We demonstrate several benchmarks on the discovery of hyperelastic and elastoplastic constitutive models without using any stress data.

Bio of the speaker:

Sid Kumar is an Assistant Professor at TU Delft in the Department of Material Science and Engineering since 2021. He obtained his Ph.D. in Aeronautics from Caltech in 2019 followed by a postdoc position at ETH Zürich. Previously, he obtained a dual M.S. in 2017 from Caltech in Aeronautics and Ecole Polytechnique (France) in Multiscale and Multiphysics Modeling, and a B.Tech. in Mechanical Engineering from IIT Delhi in 2014. He received the Foster and Coco Stanback fellowship in Engineering and Applied Science at Caltech and the University of Paris Saclay fellowship at Ecole Polytechnique. His research interests lie at the intersection of mechanics of materials, computational modeling, and machine learning — with a focus on inverse problems in (meta-)material design and modeling.

Speaker

Dr. Sid Kumar

Role: Assistant Professor

Organisation: TU Delft, Netherlands

  • https://www.mech-mat.com/

Travel and Contact Information

Find event

1A.023
Engineering Building A
Manchester

Contact event

Dr. Ajay B Harish

ajaybangalore.harish@manchester.ac.uk

Contact us

  • +44 (0) 161 306 6000

Find us

The University of Manchester
Oxford Rd
Manchester
M13 9PL
UK

Connect with the University

  • Facebook page for The University of Manchester
  • X (formerly Twitter) page for The University of Manchester
  • YouTube page for The University of Manchester
  • Instagram page for The University of Manchester
  • TikTok page for The University of Manchester
  • LinkedIn page for The University of Manchester

  • Privacy /
  • Copyright notice /
  • Accessibility /
  • Freedom of information /
  • Charitable status /
  • Royal Charter Number: RC000797
  • Close menu
  • Home
    • Featured events
    • Today's events
    • The Whitworth events
    • Manchester Museum events
    • Jodrell Bank Discovery Centre events
    • Martin Harris Centre events
    • The John Rylands Library events
    • Exhibitions
    • Conferences
    • Lectures and seminars
    • Performances
    • Events for prospective students
    • Sustainability events
    • Family events
    • All events