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Center for the Mechanics of Undersea Science and Engineering

Lightweight Materials Under Extreme Environments

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Lightweight Materials Under Extreme Environments

(a) Microstructure: dynamic crosslinks in self-healing soft polymer. (b) Viscous and viscoplastic solid response. (c) Large strain compression behavior. (d) Inhomogeneous deformation with model predictions.

The Srivastava Lab research focuses on developing multi-physics continuum-scale constitutive and computational models and experiments to describe the mechanical behavior, including damage and failure, of emerging lightweight materials under moderate to shock loads. The materials of interest include self-healing soft polymers, high-toughness double network polymers, carbon fiber composites, energy storage battery materials, and critical marine mammal tissues.

Collaborators

Principal Investigator

  • Vikas Srivastava

    Howard M. Reisman '76, P'09 Assistant Professor of Engineering
    Vikas_Srivastava@brown.edu

Co-Principal Investigators

  • Yuri Bazilevs

    Director, E. Paul Sorensen Professor of Engineering
    Yuri_Bazilevs@brown.edu
  • Pradeep Guduru

    Co-director, Professor of Engineering
    Pradeep_Guduru@brown.edu

Sponsors

  • Office of Naval Research

    Website

Related Publications

International Journal of Plasticity

A large deformation model for quasi-static to high strain rate response of a rate-stiffening soft polymer

July 10, 2023
Konale, A., Ahmed, Z., Wanchoo, P. and Srivastava, V.*, A large deformation model for quasi-static to high strain rate response of a rate-stiffening soft polymer, International Journal of Plasticity, 168, 103701, 2023.
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Journal of the Mechanics and Physics of Solids

Modeling finite-strain plasticity using physics informed neural network and assessment of the network performance

March 1, 2023
S. Niu, E. Zhang, Y. Bazilevs, and V. Srivastava, “Modeling finite-strain plasticity using physics informed neural network and assessment of the network performance”, Journal of the Mechanics and Physics of Solids, 172 (2023)
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International Journal of Solids and Structures

Simulation trained CNN for accurate embedded crack length, location, and orientation prediction from ultrasound measurements

February 26, 2022
Niu, S., and Srivastava, V.*, Simulation trained CNN for accurate embedded crack length, location, and orientation prediction from ultrasound measurements, International Journal of Solids and Structures, 242, 111521, 2022. https://doi.org/10.1016/j.ijsolstr.2022.111521
Read Article
International Journal of Mechanical Sciences

Hygroscopic damage of fiber-matrix interface in unidirectional composites: A computational approach

June 6, 2024
Kottila, V.V., Parambil, N.K., and Srivastava, V.*, Hygroscopic damage of fiber-matrix interface in unidirectional composites: A computational approach, International Journal of Mechanical Sciences, 2024 (). https://dx.doi.org/10.2139/ssrn.4773794
Read Article

Find your MUSE

We’d love to help you to find your MUSE. Learn more about our center or opportunities to become involved in the advancement of undersea mechanics.

Contact MUSE
Brown University
Providence RI 02912 401-863-1000

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Lightweight Materials Under Extreme Environments