Tarun Gangwar

@iitr.ac.in

Assistant Professor in the Department of Civil Engineering
Indian Institute of Technology Roorkee

Tarun Gangwar


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https://researchid.co/tarungangwar94
My broader research interests lie in my firm belief that the amalgamation of mechanics, mathematics, and computing presents a rigorous and rational foundation for approaching complex engineering problems. In particular, I focus on developing and implementing multiscale analysis and topology optimization methods, overcoming the computational and theoretical limitations of current approaches. My goal is to avail simulations to practitioners in an interdisciplinary setting to actualize applications from structural engineering, additive manufacturing, and biomechanics.

EDUCATION

Ph.D. in Civil Engineering, 2021, University of Minnesota Twin Cities

M.Sc. in Civil Engineering, 2018, University of Minnesota Twin Cities

B.Tech in Civil Engineering, 2015, Indian Institute of Technology Roorkee

RESEARCH, TEACHING, or OTHER INTERESTS

Civil and Structural Engineering, Computational Mechanics, Mechanics of Materials, Multidisciplinary
14

Scopus Publications

Scopus Publications

  • A unified fully-automatic patient-specific image to remodeling framework for bone diagnostic simulation
    Avinandan Modak, Arijit Sau, Rajib Chowdhury, Tarun Gangwar
    Computer Methods in Applied Mechanics and Engineering, 2026
  • Modeling and Optimization of Irregular Cellular Materials Using Parametric Physics-Augmented Neural Networks
    Jonathan Stollberg, Tarun Gangwar, Oliver Weeger, Dominik Schillinger
    Lecture Notes in Computational Science and Engineering, 2026
  • A multiscale optimization framework for bone remodelling: integrating material and structural adaptations across hierarchical scales
    Avinandan Modak, Arijit Sau, Rajib Chowdhury, Tarun Gangwar
    Journal of the Royal Society Interface, 2025
    Bone exhibits a hierarchical organization across multiple length scales, integrating functional properties through adaptive remodelling mechanisms. In this article, we present a concurrent material–structure optimization framework that identifies optimal macroscale bone density and microstructural configurations, including collagen and hydroxyapatite distribution and lacunae orientation, across the length scales in bone’s hierarchical organization. Our framework formulates a compliance minimization problem with coupled material and structure optimization sub-problems and leverages a continuum micromechanics-based homogenization approach to efficiently capture bone’s hierarchical material behaviour. This enables computationally tractable optimization independent of the number of hierarchical scales, addressing key limitations of conventional remodelling approaches. We apply the framework to a human proximal femur under realistic musculoskeletal loading conditions and demonstrate its ability to capture self-optimizing mechanisms consistent with physiological adaptation. While not intended as a clinical diagnostic tool at this stage, the framework provides a physics-based rationale for estimating microstructural distributions of bone constituents and highlights deviations that may inform future assessments of bone quality. These findings offer a foundation for targeted therapeutic strategies, personalized diagnostics and regenerative medicine applications.
  • Multiscale topology optimization of functionally graded lattice structures based on physics-augmented neural network material models
    Jonathan Stollberg, Tarun Gangwar, Oliver Weeger, Dominik Schillinger
    Computer Methods in Applied Mechanics and Engineering, 2025
  • Sparse polynomial chaos expansion and adaptive mesh refinement for enhanced fracture prediction using phase-field method
    Avinandan Modak, U. Meenu Krishnan, Abhinav Gupta, Tarun Gangwar, Rajib Chowdhury
    Theoretical and Applied Fracture Mechanics, 2024
  • Connecting continuum poroelasticity with discrete synthetic vascular trees for modelling liver tissue
    Adnan Ebrahem, Etienne Jessen, Marco F. P. ten Eikelder, Tarun Gangwar, Michał Mika, et al.
    Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, 2024
    The modelling of liver tissue across multiple length scales constitutes a significant challenge, primarily due to the multiphysics coupling of mechanical response and perfusion within the complex multiscale vascularization of the organ. In this paper, we present a modelling framework that connects continuum poroelasticity and discrete vascular tree structures to model liver tissue across disparate levels of the perfusion hierarchy. The connection is achieved through a series of modelling decisions, which include source terms in the pressure equation to model inflow from the supplying tree, pressure boundary conditions to model outflow into the draining tree, and contact conditions to model surrounding tissue. We investigate the numerical behaviour of our framework and apply it to a patient-specific full-scale liver problem that demonstrates its potential to help assess surgical liver resection procedures.
  • Thermodynamically consistent concurrent material and structure optimization of elastoplastic multiphase hierarchical systems
    Tarun Gangwar, Dominik Schillinger
    Structural and Multidisciplinary Optimization, 2023
    The concept of concurrent material and structure optimization aims at alleviating the computational discovery of optimum microstructure configurations in multiphase hierarchical systems, whose macroscale behavior is governed by their microstructure composition that can evolve over multiple length scales from a few micrometers to centimeters. It is based on the split of the multiscale optimization problem into two nested sub-problems, one at the macroscale (structure) and the other at the microscales (material). In this paper, we establish a novel formulation of concurrent material and structure optimization for multiphase hierarchical systems with elastoplastic constituents at the material scales. Exploiting the thermomechanical foundations of elastoplasticity, we reformulate the material optimization problem based on the maximum plastic dissipation principle such that it assumes the format of an elastoplastic constitutive law and can be efficiently solved via modified return mapping algorithms. We integrate continuum micromechanics based estimates of the stiffness and the yield criterion into the formulation, which opens the door to a computationally feasible treatment of the material optimization problem. To demonstrate the accuracy and robustness of our framework, we define new benchmark tests with several material scales that, for the first time, become computationally feasible. We argue that our formulation naturally extends to multiscale optimization under further path-dependent effects such as viscoplasticity or multiscale fracture and damage.
  • Multi-scale modelling predicts plant stem bending behaviour in response to wind to inform lodging resistance
    Tarun Gangwar, Alexander Q. Susko, Svetlana Baranova, Michele Guala, Kevin P. Smith, et al.
    Royal Society Open Science, 2023
    Lodging impedes the successful cultivation of cereal crops. Complex anatomy, morphology and environmental interactions make identifying reliable and measurable traits for breeding challenging. Therefore, we present a unique collaboration among disciplines for plant science, modelling and simulations, and experimental fluid dynamics in a broader context of breeding lodging resilient wheat and oat. We ran comprehensive wind tunnel experiments to quantify the stem bending behaviour of both cereals under controlled aerodynamic conditions. Measured phenotypes from experiments concluded that the wheat stems response is stiffer than the oat. However, these observations did not in themselves establish causal relationships of this observed behaviour with the physical traits of the plants. To further investigate we created an independent finite-element simulation framework integrating our recently developed multi-scale material modelling approach to predict the mechanical response of wheat and oat stems. All the input parameters including chemical composition, tissue characteristics and plant morphology have a strong physiological meaning in the hierarchical organization of plants, and the framework is free from empirical parameter tuning. This feature of our simulation framework reveals the multi-scale origin of the observed wide differences in the stem strength of both cereals that would not have been possible with purely experimental approach.
  • Correction to: Multiscale characterization and micromechanical modeling of crop stem materials (Biomechanics and Modeling in Mechanobiology, (2021), 20, 1, (69-91), 10.1007/s10237-020-01369-6)
    Tarun Gangwar, D. Jo Heuschele, George Annor, Alex Fok, Kevin P. Smith, et al.
    Biomechanics and Modeling in Mechanobiology, 2021
  • Concurrent material and structure optimization of multiphase hierarchical systems within a continuum micromechanics framework
    Tarun Gangwar, Dominik Schillinger
    Structural and Multidisciplinary Optimization, 2021
    We present a concurrent material and structure optimization framework for multiphase hierarchical systems that relies on homogenization estimates based on continuum micromechanics to account for material behavior across many different length scales. We show that the analytical nature of these estimates enables material optimization via a series of inexpensive “discretization-free” constraint optimization problems whose computational cost is independent of the number of hierarchical scales involved. To illustrate the strength of this unique property, we define new benchmark tests with several material scales that for the first time become computationally feasible via our framework. We also outline its potential in engineering applications by reproducing self-optimizing mechanisms in the natural hierarchical system of bamboo culm tissue.
  • Multiscale characterization and micromechanical modeling of crop stem materials
    Tarun Gangwar, D. Jo Heuschele, George Annor, Alex Fok, Kevin P. Smith, et al.
    Biomechanics and Modeling in Mechanobiology, 2021
  • Microimaging-informed continuum micromechanics accurately predicts macroscopic stiffness and strength properties of hierarchical plant culm materials
    Tarun Gangwar, Dominik Schillinger
    Mechanics of Materials, 2019
  • Robust variational segmentation of 3D bone CT data with thin cartilage interfaces
    Tarun Gangwar, Jeff Calder, Takashi Takahashi, Joan E. Bechtold, Dominik Schillinger
    Medical Image Analysis, 2018
  • Embedded shell finite elements: Solid–shell interaction, surface locking, and application to image-based bio-structures
    Dominik Schillinger, Tarun Gangwar, Anvar Gilmanov, Jo D. Heuschele, Henryk K. Stolarski
    Computer Methods in Applied Mechanics and Engineering, 2018