Trisha Sain

Trisha Sain

Contact

  • Assistant Professor, Mechanical Engineering-Engineering Mechanics
  • PhD, Civil Engineering, Indian Institute of Science, India (2008)
  • MSc, Civil Engineering, Indian Institute of Science, India (2003)
  • BE, Civil Engineering, Jadavpur University, India (2001)

Biography

Dr. Trisha Sain joined the Mechanical Engineering - Engineering Mechanics department at Michigan Tech August 2016 as an Assistant Professor.  Prior to joining Michigan Tech she was an Assistant Professor in the Department of Mechanical Engineering, North Carolina A&T State University, Sep 2013 - Aug 2016.  She has Post-doctoral experience at University of Michigan, Ann Arbor, 2011-2013, Mechanical Engineering, Aerospace Engineering (Joint Appointment) and Post-doctoral experience at Technical University of Catalunya, Barcelona, Spain, 2009-2011.

Her research lies in Computational Solid Mechanics, Nonlinear behavior of materials, Mechanics of soft polymers:

  • Biomimetic Material Design-new domain in multifunctional composite materials                                                                                                                                                                                                                                                                        Developing a predictive framework and design methodology for optimizing composite's performance in multiple aspects with the influence of biological design
  • Computational modeling of tough hydrogels as tissue mimicking materials
    Constitutive modeling of hydrogels, studies on improved toughness and self healing capacity
  • Computational modeling of curing kinetics and curing induced damage in thermosets under large deformation
    Curing of thermosets is a complex process involving the transition from a fluid into a viscoelastic solid. The phase transition involves volume shrinkage along with an
    increase in stiffness. The volume shrinkage can generate significant residual stress in the material leading to severe damage of the cured material. Computational models
    are useful for prediction of such material response under variable curing cycle.

Links of Interest

Research Interests

  • Constitutive modeling of materials, focusing on polymers, polymer-composites, coupled physics behavior
  • Fracture, damage and impact behavior on materials
  • Analysis, design and testing of novel multifunctional lightweight polymer composite materials
  • High rate deformation in polymers
  • Predictive modeling of fracture in brittle materials
  • Biomechanics of artificial tissue and soft interfaces