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Dr Nimal Balasubramani
Casual Academic

Dr Nimal Balasubramani

Engineering
Mechanical and Manufacturing Engineering

I am a doctoral researcher at the University of New South Wales in Sydney, Australia with research focus on stochastic multi-scale failure modelling of aerospace textile composite structures. In my research, I employ a range of tools and techniques in studying mechanics of composite materials and structures including advanced experimental techniques such as computerised tomography and digital image correlation, and computational mechanics and statistical methods. As such, I have developed expertise in finite element analysis, virtual testing of materials, high performance computing and machine learning implementations.


Always open to explore opportunities to conduct collaborative research on virtual testing of composites.
E-mail
nimal.balasubramani@unsw.edu.au
Location
Ainsworth J17, Room 208, Desk 33
  • Journal articles | 2022
    Balasubramani NK; Zhang B; Chowdhury NT; Mukkavilli A; Suter M; Pearce GM, 2022, 'Micro-mechanical analysis on random RVE size and shape in multiscale finite element modelling of unidirectional FRP composites', Composite Structures, 282, http://dx.doi.org/10.1016/j.compstruct.2021.115081
    Journal articles | 2019
    Chowdhury NT; Balasubramani NK; Pearce GM; Tao C, 2019, 'A multiscale modelling procedure for predicting failure in composite textiles using an enhancement approach', Engineering Failure Analysis, 102, pp. 148 - 159, http://dx.doi.org/10.1016/j.engfailanal.2019.04.013
  • Conference Presentations | 2021
    Balasubramani N; Pearce G; Chowdhury N, 2021, 'Stochastic multiscale failure analysis of textile composite structures using a dehomogenisation approach', presented at 24th International Conference on Composite Structures, FEUP - Faculty of Engineering, University of Porto, Portugal, 14 June 2021 - 18 June 2021, https://eventi.unibo.it/iccs24
    Conference Abstracts | 2019
    Balasubramani NK; Chowdhury N; Pearce G, 2019, 'Understanding Failure Initiation Locations in Stochastic Virtual Composite Specimens using a Machine Learning Framework', in 22nd International Conference on Composite Materials, Melbourne, Australia, presented at 22nd International Conference on Composite Materials, Melbourne, Australia, 11 August 2019 - 16 August 2019
    Reports | 2019
    Pearce G; Chowdhury N; Balasubramani N, 2019, Boeing/UNSW Report 2
    Reports | 2017
    Chowdhury N; Pearce G; Balasubramani N, 2017, Boeing/UNSW Report 1

  • Modelling, fabrication and virtual testing composite structures
  • Multi-scale modelling of fibre reinforced composite materials
  • Damage prediction and characterisation for laminated composite materials
  • AI and machine learning in materials development, structural analysis and design
  • Stochastic structural analysis and reliability analysis

I am working on an ARC Linkage Project with Boeing Aerostructures Australia and translating the research findings into an intellectual property (research software plugin for Abaqus finite element software) that the industry can use.