Dr Jagan Selvaraj

  • Lecturer in Composites Engineering (Autonomous Systems & Connectivity)

Biography

Jagan Selvaraj is Lecturer in Composites Engineering at the University of Glasgow (James Watt School of Engineering) and a member of the Materials and Manufacturing Research Group (MMRG). He completed his PhD on Advanced numerical methods for modelling impact in composite materials at the University of Bristol, as a part of Rolls-Royce Composites University Technology Centre in 2022.  Jagan held an EPSRC Doctoral Prize Fellowship on data-driven modelling of composite mechanics and was awarded an EPSRC IAA grant on process modelling before starting his position in Glasgow.

Jagan’s research focuses on data-driven and physics-based modelling of composites for mechanical performance investigating impact loading, fracture, damage mechanics and process modelling.

Jagan’s current research is aimed at developing data-driven methods to analyse composite damage mechanisms in large structures efficiently. Additionally, Jagan is investigating how process simulation can be employed to minimise manufacturing defects and enhance automation, as well as how processing behaviour such as consolidation influence structural mechanics. Among the data-driven methods, the focus is on model-order reduction and machine learning.

 

Career Summary

  • Lecturer in Composites Engineering, Jan 2025 - Present
  • Senior Research Associate (IAA funded), Oct 2024 - Dec 2024
  • EPSRC Doctoral Prize Fellow, Oct 2022 - Sep 2024
  • Research Associate, Sep 2021- Sep 2022
  • PhD in Advanced Composites (Aerospace Engineering), University of Bristol, U.K. Sep 2017- Jan 2022
  • Structural Engineer in Industry (Cybermarine, WS Atkins, General Electric (JFWTC)) Jul 2014 - Sep 2017
  • Masters in Engineering in Structural Engineering, Indian Institute of Technology Kharagpur, Jul 2012- May 2014

 

Publications

Prior publications

Article

Jagan Selvaraj, Timothee Chastel, Stephen R. Hallett (2025) A localised continuum damage mechanics model for fibre failure in explicit integration Crossref. (doi: 10.1016/j.compstruct.2024.118816)

Karthik Ram Ramakrishnan, Jagan Selvaraj (2024) Build Orientation-Driven Anisotropic Fracture Behaviour in Polymer Parts Fabricated by Powder Bed Fusion Crossref. (doi: 10.3390/jmmp8060263)

Jagan Selvaraj, Stephen R. Hallett (2024) Adaptive and variable model order reduction method for fracture modelling using explicit time integration Crossref. (doi: 10.1016/j.cma.2023.116506)

Jagan Selvaraj, Luiz F. Kawashita, Antonio R. Melro, Stephen R. Hallett (2023) Efficient sublaminate-scale impact damage modelling with higher-order elements in explicit integration Crossref. (doi: 10.1016/j.compositesa.2023.107560)

Jagan Selvaraj, Bassam El Said (2023) Multiscale modelling of strongly heterogeneous materials using geometry informed clustering Crossref. (doi: 10.1016/j.ijsolstr.2023.112369)

Jagan Selvaraj, Luiz F. Kawashita, Stephen R. Hallett (2022) Mesh independent modelling of tensile failure in laminates using mixed-time integration in explicit analysis Crossref. (doi: 10.1016/j.engfracmech.2021.108113)

Jagan Selvaraj, Luiz F. Kawashita, Mehdi Yasaee, Gordon Kalwak, Stephen R. Hallett (2021) Soft body impact on composites: Delamination experiments and advanced numerical modelling Crossref. (doi: 10.1016/j.compscitech.2021.108777)

Jagan Selvaraj, Supratik Mukhopadhyay, Luiz F. Kawashita, Stephen R. Hallett (2021) Modelling delaminations using adaptive cohesive segments with rotations in dynamic explicit analysis Crossref. (doi: 10.1016/j.engfracmech.2021.107571)

(2015) Determination of inter-yarn friction and its effect on ballistic response of para-aramid woven fabric under low velocity impact Jagan Selvaraj. ISSN 0263-8223 (doi: https://doi.org/10.1016/j.compstruct.2014.09.063)

Grants

Principal Investigator

EPSRC Doctoral Prize Fellowship (2022-2024), 'Multilevel data-driven methods for high-fidelity adaptive damage modelling', Role : PI, Total Value : £80,000, Ref: EP/W524414/1

EPSRC IAA funding (2024), 'Data-driven process modelling to optimise composite manufacturing with AFP', Role : PI, Total Value : £15,000

Supervision

I am currently looking for PhD students in the following area. The funding is available for Home/International students depending on the succesfull application for EPSRC/School studentships. 

1. Multiscale modelling of damage mechanisms in composite materials

2. Process modelling of automated fibre placement to optimise composite manufacturing


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