Ballistic-impact simulation and material response

Studying how advanced composites and metamaterial-based structures respond to high-speed impact.

Role
Computational scientist and algorithm developer
Timeline
2023–present
Organisation
Avkalan Labs and research collaborators
Status
Research and simulation-development stage

About the project

Nanomaterial-based composites can offer combinations of strength, stiffness, energy absorption and low weight that are difficult to achieve with conventional materials. This creates new possibilities for protective structures used in defence, aerospace and impact-resistant systems.

The work focused on understanding how these advanced materials behave under ballistic loading. It also explored metamaterial-based unit cells designed to improve impact resistance by controlling deformation and absorbing more energy.

How it works

The material and structural geometry are represented in a numerical model, along with the impact velocity, contact conditions and material behaviour. Simulations are then used to study deformation, stress, damage and energy absorption during impact.

Different composite arrangements and metamaterial unit-cell designs can be compared to understand which configurations provide better protection with lower weight.

Material design → impact simulation → deformation and damage → energy absorption → improved protection

What the work produced

The work created a simulation-based approach for studying advanced materials and impact-resistant structures.

Nanocomposite material modelling

Numerical models for analysing the behaviour of nanomaterial-based composites under high-speed impact.

Metamaterial unit-cell studies

Evaluation of structured unit-cell designs for improving ballistic-impact resistance and energy absorption.

Design comparison and validation

A workflow for comparing material and geometry choices using deformation, damage and absorbed-energy results.

Let’s talk about what you’re building.

I’m always open to conversations about engineering, computation, deeptech products and mentoring people building or learning in these areas.