Sathiskumar A. Ponnusami

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Senior Lecturer in Structural Mechanics (Aeronautics)

City, University of London

United Kingdom

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Dr. Sathiskumar A. Ponnusami is a Senior Lecturer in Structural Mechanics (Aeronautics) at City, University of London. His research areas include the development of advanced composite materials, nonlinear buckling analysis, and performance prediction of mechanical systems. Recent articles authored by Dr. Ponnusami focus on engineered composites for electromagnetic absorption, continuum modeling of carbon nanotube behavior, and the optimization of mechanical performance using machine learning techniques.

Recent Grants

Grant: Close

Self-Healing Thermal Barrier Coatings

Open Date: 2013-03-01

Close Date: 2017-02-28

Articles (17)

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2024

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2023

Collaborators (1)

Javier Paz Mendez

Assistant Profesor

Universidad Rey Juan Carlos

SPAIN

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Sathiskumar A. Ponnusami

Research Interests

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About

Recent Grants

Articles (17)

Non-linear buckling analysis of delaminated hat-stringer panels using variational asymptotic method

A novel engineered sandwich composite with ceramic-coated graphite fibre-reinforced face sheets and an auxetic core for enhanced broadband electromagnetic absorption: design using multiscale computational analysis

Performance prediction and Bayesian optimization of screw compressors using Gaussian Process Regression

Effect of damage evolution on the auxetic behavior of 2D and 3D re-entrant type geometries

Mechanical behaviour of carbon nanotube composites: A review of various modelling techniques

Interface engineering of carbon fiber composites using CNT: A review

Computational evaluation of absorption characteristics of ceramic-based auxetic materials in X-band frequency range

Continuum modeling of nonlinear buckling behavior of CNT using variational asymptotic method and nonlinear FEA

A generalised deep learning-based surrogate model for homogenisation utilising material property encoding and physics-based bounds

Dry-sliding wear properties of 3D printed PETG/SCF/OMMT nanocomposites: Experimentation and model predictions using artificial neural network

Effective Mechanical Properties of Auxetic Materials: Numerical Predictions Using Variational Asymptotic Method Based Homogenization

FEM-ANN approach to predict nonlinear pyro-coupled deflection of sandwich plates with agglomerated porous nanocomposite core and piezo-magneto-elastic facings in thermal environment

Influence of fibre cross-section profile on the multi-physical properties of uni-directional composites

Investigation of low-percentage graphene reinforcement on the mechanical behaviour of additively manufactured polyethylene terephthalate glycol composites

Investigation on the interphase effects on the energy harvesting characteristics of three phase magneto-electro-elastic cantilever beam

Machine learning assisted coupled frequency analysis of skewed multi-phase magnetoelectric composite plates with temperature and moisture dependent properties

Exploiting nonlinearities through geometric engineering to enhance the auxetic behaviour in re-entrant honeycomb metamaterials

Collaborators (1)

Javier Paz Mendez

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