Research
Keywords
Topology optimisation, metaheuristics, acoustics, and additive manufacturing.
Summary
Historically, the geometric shapes of mechanical parts and structures, such as an aircraft wingbox, have been designed through a trialanderror process followed by iterative improvements to existing designs. A breakthrough in geometric design unfolded in the 1990s through the introduction of structural topology optimisation techniques, which allow generation of optimal shapes and topologies for mechanical structures from scratch. Many parts and products have undergone significant innovations due to topology optimisation. A notable example is the reduction in weight of 1000 kilograms per aircraft in Airbus A380 (Krog et al. 2012).
Finding the most optimal shape and topology for a given problem in terms of loads and boundary conditions is computationally hard and there are no practicable algorithms available in many problem cases. Whereas finding nearoptimal solutions that are good enough in a quick enough time can be achieved through adjoint methods. These gradientbased methods can get stuck at locally optimal solutions if the mathematical structure of the objective function is multimodal. The problem of local optimal solutions can be addressed through heuristics and metaheuristics strategies which constitute a subset of artificial intelligence.
The overall research aim is to improve topology optimisation techniques through the use of AI and extend the practicability of these techniques.
Publications
Journal articles:

Ramamoorthy, V.T., Ã–zcan, E., Parkes, A.J., Sreekumar, A., Jaouen, L. and BÃ©cot, F.X., 2021. Comparison of heuristics and metaheuristics for topology optimisation in acoustic porous materials. The Journal of the Acoustical Society of America, 150(4), pp.31643175.

Ramamoorthy, V.T., Ã–zcan, E., Parkes, A.J., Jaouen, L. and BÃ©cot, F.X., 2023. Multiobjective topology optimisation for acoustic porous materials using gradientbased, gradientfree, and hybrid strategies. The Journal of the Acoustical Society of America, 153(5), pp.29452945.
Conferences:

Ramamoorthy, V.T., Ã–zcan, E., Parkes, A.J., Luc, J. and BÃ©cot, F.X., 2019. Metaheuristic Optimisation of multilayered porous materials, proceedings of the 23rd International Congress on Acoustics, RWTH Aachen, Germany.

Ramamoorthy, V.T., Ozcan, E., Parkes, A.J., Sreekumar, A., Jaouen, L. and BÃ©cot, F.X., 2020. Acoustic topology optimisation using CMAES, proceedings of ISMA2020 International Conference on Noise and Vibration Engineering and USD2020 International Conference on Uncertainty in Structural Dynamics .

Ramamoorthy, V.T., Ã–zcan, E., Parkes, A.J., Luc, J. and BÃ©cot, F.X., 2020. On topology optimisation of acoustic porous
materials, eForum Acusticum 2020, Lyon, France.

Ramamoorthy, V.T., Ã–zcan, E., Parkes, A.J., Luc, J. and BÃ©cot, F.X., 2021. The OR society conferenceOR63.

Parkes, A.J., Ramamoorthy, V.T., Ã–zcan, E., 2021. Biobjective Search for Acoustic Topology Optimisation and Noise Reduction, EURO 2022  Espoo.
Current projects
1. AIbased algorithms for more efficient topology optimisation
Gradientbased approaches are quite efficient than metaheuristic strategies applied to the discrete topology optimisation problem. But metaheuristics used in conjunction with gradientbased methods have been able to overcome the problem of local optimality by outperforming gradient strategies for the same computational time (Ramamoorthy et al. 2022).
2. Manufacturabilityoriented topology optimisation
Manufacturability forms a roadblock in extending the use of topologyoptimised shapes in certain applications. While advancements in additive manufacturing have ensured the feasibility of manufacturing topologyoptimised structures, the fabrication time and tool costs involved vs. conventional manufacturing methods needs due consideration to assess which approach is indeed the truly optimal in engineering practice. Hence, it is of interest to develop approaches to deal with manufacturability within the algorithm.
If you find these topics interesting and are looking to discuss or collaborate, hesitate not to contact me. ðŸ™‚
Teaching
Game perspective
Game perspective
is the paradigm of learning through games or interactive demos. While
this is not a replacement for conventional learning (books, lectures,
exercises), it is a valuable alternative teaching method.
With the evergrowing forest of human knowledge, there are too many exciting things to learn, and life is too short.
With the help of games or interactive demos, knowledge could be assimilated faster and in a more fun way allowing us to learn more in a given lifetime. Check out some of my works available in the
web projects
section. Thanks to Luc Jaouen for inspiring me to make these. Check out
his works at
Acoustic Porous Material Recipes.
A shoutout to Dan Russell for
his amazing work.
Concepts that fascinate me
These are some of the concepts that I found intriguing. It is always interesting to ask people what concepts fascinate them the most, as I always learn something new. Every person has their list, and here is mine. If you think I need to include something, let me know. ðŸ™‚
 Euler's identity: \( e^{i\pi} +1 =0 \)

Calculus: From \( \frac{dy}{dx} \) to \( i\hbar \frac{\partial
\Psi}{\partial t} = \frac{\hbar^2}{2m} \frac{\partial^2
\Psi}{\partial x^2} + V \Psi \)

Principle of conservation of momentum  The fact that it holds true
from photons to blackholes
 Gauss' divergence theorem
 Fourier series and transforms, the FFT algorithm.
 Eigenvalue analysis  natural vibrating frequencies of objects

Modal superposition technique  finding the response of
multidegreesoffreedom systems to vibrations

Mohr's circle  How a piece of chalk breaks under tension and torsion
 Gyroscopic effect
 Coriolis effect
 Castigliano's theorems
 Cauchy's integral theorem
 Planck's black body radiation (The birth of quantum mechanics)

Michelson and Morley experiment > Speed of light being constant for
all observers
 Special relativity and general relativity
 Principle of equivalence
 Young's double slit experiment > Manyworlds interpretation?
 Superfluid helium
 Cryogenic liquefaction cycles  The art of liquifying gases
 Monte Carlo method  Simple and powerful.
 Fermat's last theorem
 Neural Networks for emotion recognition
 Mechanisms of sound absorption in porous media
 The concept of topology optimisation
 Antichess: (weakly solved) 1.e3 wins for White
Modules I teach
 Applied Design (Level 4 Semester A )
 Industrial Mechanics (level 4 Semester B)
 Programming for aeronautical engineers (Level 5 Semester B)
 Data Analytics and Artificial Intelligence (Level 7 Semester A)
 Acoustics (Level 7 Semester B)
Web projects
Topology optimisation in web
An implementation of the solid isotropic material with penalisation
(SIMP) in Javascript.
Damping ratio demo
An interactive demo to get an intuition for the damping ratio.
Genetic algorithm tutorial
A simple interactive tutorial on genetic algorithms.
MatlabJS: A Javascript minilibrary
A minilibrary for Matlab users who are new to Javascript.
CMAES tutorial
A simple interactive tutorial on Covariance Matrix Adaptation
Evolution Strategy.
Image Classification Web
A web app for MobileNet image classifier.
Nurse scheduling tool
A web tool for nurse scheduling.
Tortuosity Demo
Draw a path to compute its tortuosity.
Sound sensing
Audio Scene Classification demo.
TopOptWeb3D
3D topology optimisation on web.
Math demos
Interactive math concept demos.