Deepak Jadhav

Deepak Balasaheb Jadhav, M. Sc.

Department of Mechanical Engineering
Institute of Applied Dynamics (LTD, Prof. Leyendecker)

Room: Room 01.024
Immerwahrstraße 1
91058 Erlangen

curriculum vitae

  • 2014 – 2018 B.Eng. in Mechanical Engineering, Savitribai Phule Pune University, Pune, India
  • 2019 – 2022 M.Sc. in Computational Mechanics, University of Duisburg-Essen
  • 2022 –  doctoral candidate, Institute of Applied Dynamics, Friedrich-Alexander Universität Erlangen-Nürnberg

publications

reviewed journal publications

2023

conferences and proceedings

2023

2022

further publications

research

  • Teilprojekt P9 - Adaptive Dynamic Fracture Simulation

    (Third Party Funds Group – Sub project)

    Overall project: Fracture across Scales: Integrating Mechanics, Materials Science, Mathematics, Chemistry, and Physics (FRASCAL)
    Term: 2019-01-02 - 2027-12-31
    Funding source: DFG / Graduiertenkolleg (GRK)
    URL: https://www.frascal.research.fau.eu/home/research/p-9-adaptive-dynamic-fracture-simulation/

    In the simulation of continuum mechanical problems of materials with heterogeneities caused e.g. by a grained structure on a smaller scale compared to the overall dimension of the system, or by the propagation of discontinuities like cracks, the spatial meshes for finite element simulations are typically consisting of coarse elements to save computational costs in regions where less deformation is expected, as well as finely discretised areas to be able to resolve discontinuities and small scale phenomena in an accurate way. For transient problems, spatial mesh adaption has been the topic of intensive research and many strategies are available, which refine or coarsen the spatial mesh according to different criteria. However, the standard is to use the same time step for all degrees of freedom and adaptive time step controls are usually applied to the complete system.

    The aim of this project is to investigate the kinetics of heterogeneous, e.g. cracked material, in several steps by developing suitable combinations of spatial and temporal mesh adaption strategies.

teaching