Jagan Mohan P Associate Professor Department of Mechanical Engineering

Dr. Jagan Mohan is an Associate Professor at MEC's School of Engineering and Sciences. His areas of interests are Micromechanics of granular materials, Physics based mechanistic models for myriad phenomena and service conditions among various others. He's also been a reviewer for the International journal of fatigue and ASME IMECE 2012.

  • Education

    Washington State University, Pullman, WA - Ph.D., Mechanical Engineering - May 2010.

    Dissertation: A network-cell based framework for multi-scale analysis of granular materials.

    Washington State University, Pullman, WA - M.S., Mechanical Engineering - Dec 2003.

    Thesis: Minimal boundary conditions for simulations of disordered materials.

    J.N.T. University, Hyderabad, India - B. Tech., Mechanical Engineering - Jun 2001.

  • Research
    • Multi-scale modeling and computational materials modeling with emphasis on constitutive relations for materials during processing and service.
    • Microstructure sensitive computational approaches to assess variability in driving force for defect propagation applicable to fracture and fatigue life predictions.
    • Physics based mechanistic models for myriad phenomena and service conditions.
    • Extreme value statistics of metal fatigue including developing distribution mixtures applicable to determining design guidelines.
    • Micromechanics of granular materials.
    • Numerical methods including finite and discrete element modeling and analysis.
  • Publications
    • Vandekerkhove P, Padbidri J. M and McDowell D. L. Integrated Cumulative Error (ICE) distance for non-nested mixture model selection: Application to extreme values in metal fatigue problems. Electronic Journal of Statistics, 2014, v 8, n 2, pp. 3141-3175.
    • Padbidri J. M, Hansen C. M, Mesarovic S. Dj and  Muhunthan B.  Length scale for transmission of rotations in dense granular materials. Journal of Applied Mechanics, Transactions ASME, 2012, v 79, n 3, pp. 031011-1-9.
    • Mesarovic S. Dj, Padbidri, J.M and Muhunthan B. Micromechanics of dilatancy and critical state in granular matter. Geotechnique Letters, 2012, v 2, n 4-6, pp. 61-66.
    • Padbidri J. M and Mesarovic S. Dj.  Acceleration of DEM algorithm for quasistatic processes. International Journal for Numerical Methods in Engineering, 2011, v 86, n 7, pp. 816-828.
    • Mesarovic, S. Dj & Padbidri, J. Minimal kinematic boundary conditions for simulations of disordered microstructures, Philosophical Magazine. 2005, v 85, n 1, pp. 65-78.
    • Mesarovic S. Dj and Padbidri J. Transition between the models in multiscale simulations: Continua and granular materials, Proceedings of the International Conference on Functionally Graded Materials IX, 2006. (Eds.) Paulino G. H, Pindera M.-J, Dodds R.H, Rochinha F.A, Dave E, Chen L.
    • Padbidri J. M, McDowell D. L, Prasannavenkatesan R, Geller C. B and Olson G. B. Modeling transition from small to long fatigue crack growth in stainless steel clad materials. In preparation.
    • Padbidri J.M and Mesarovic S.Dj., Effect of boundary conditions on behaviour of granular materials, To be submitted to Mechanics of materials (Draft available).
  • Experience

    QuesTek Innovations LLC, Evanston, IL

    Materials Design Engineer

    Experience as part of QuesTek’s core technical team has included roles as project lead and member on various projects. 

    • Led and participated in multiple successful proposal efforts.
    • Developed probabilistic fatigue life predictors as a function of defect nature, defect-matrix interface condition and microstructure for secondary hardened martensitic gear steels.
    • Led team in a multiple year effort to develop corrosion fatigue models. Initial phases include efforts to model the effect of hydrogen on the constitutive behavior of Stainless steels. Instrumental in identifying problems of interest and directions for program extension and design relevant experiments to quantify the effect of Hydrogen on the constitutive relations for steels.
    • Developed and validated strength models for advanced Ni based superalloys.
    • Developed methodology to include the effect of latent heat of transformation during precipitation in superalloys.
    • Statistical analysis of fatigue life scatter including life predictions using censored extreme valued distributions. Exercised models for grain pinning to correlate with grain growth during HIPing processes.


    George W. Woodruff School of Mechanical Engineering

    Georgia Institute of Technology, Atlanta, GA

    Post-Doctoral Research Fellow

    Supervisor: Dr. David L. McDowell

    Developed and implemented physics based crystal plasticity finite element models to describe the constitutive behavior of stainless steels and subsequently predict fatigue service life of weld deposited pressure vessel claddings. The tools were extended to identify regimes of applicability of component life prediction models to estimate and enhance the service longevity of weld claddings for different defects and service conditions. Effect of manufacturing methods on the service life of components was predicted. The constitutive models were extended to other classes of alloy systems.

    Developed and implemented frequentist approaches to identify mixtures of extreme value distributions applicable to describing high cycle fatigue life. The method isolates the extreme values governing the tails of service life and provides an accurate assessment of the minimum service life for design procedures.


    School of Mechanical and Materials Engineering

    Washington State University, Pullman, WA

    Teaching Fellow

    Research and Teaching Assistant

    Supervisor: Dr. Sinisa Dj. Mesarovic

    Multi-scale methods for imposing coarse-scale fields to fine-scale computational cells for continuous and discrete media were implemented relieving spurious, computational cell size dependent wavelengths in solution fields typical of commonly used boundary conditions. Fundamental length scales manifested by micromechanics of discrete media were identified. Network-cell and topological description of deformation mechanisms in discrete media were devised describing their anomalous dilatant behavior. The models developed are applicable for transport and manufacturing processes involving particulate media. 

  • Others
    • Reviewer for the International journal of fatigue.
    • Reviewer for ASME IMECE 2012.
    • Member of the American Society of Mechanical Engineers, American Society of Metals.
    • Supervised undergraduate research under the REU program sponsored by NSF.
    • Teaching fellowship - offered a sophomore level course.
    • Received numerous travel grants to present research at national and international conferences.