Rocket Simulation Design Challenge 2026 to test students on computational aerospace engineering

 College and university students will have a chance to tackle real-world aerospace engineering problems with the Rocket Simulation Design Challenge 2026, a software competition focused on computational modelling, numerical simulation and rocket design optimisation.

The challenge is scheduled to take place on October 4, 2026, in Haldwani, Uttarakhand. Teams may have one to four members, and the competition demands that participants develop a computational rocket simulation capable of producing quantitative results that can support an engineering choice.

Registration for the competition has ended. The registration fee was ₹2,000 per team.

In contrast to traditional rocket-building competitions, the challenge does not require participants to build or launch a physical rocket. Instead, teams are expected to use computational methods to investigate how rocket behave and what effects different design or operation parameters may have.

Participants must select one of five approved engineering challenges: optimisation of ascent trajectory; a six degree of freedom rocket flight simulator; reusable rocket re-entry and thermal simulation; multi-stage rocket performance and staging optimisation; or a rocket digital twin and failure-prediction model.

The organisers require teams to develop a technically defendable model by defining the relevant inputs, governing equations and computational relationships. Simulations must then be validated using analytical calculations, reference datasets, benchmark cases, experimental data or comparisons with existing tools.

The competition also focuses on understanding of uncertainty and the effects of varying key parameters. Each team must investigate at least three major parameters through sensitivity analysis or engineering trade-offs and use the resulting data to support a quantitative engineering conclusion.

Source-code reproducibility is another major requirement. Teams must submit complete source code along with dependencies, input and configuration files, installation instructions, sample data where applicable and example outputs. The final source-code submission deadline is September 30, 2026.

Participants may use development environments including Python, MATLAB/Simulink, C/C++, Julia, Java and Fortran, as well as other approved platforms. Open-source libraries can be incorporated, but their usage must be disclosed.

The judging framework will assess six areas. Engineering understanding and the mathematical or physical model will each account for 20%, while simulation quality will contribute another 20%. Validation and verification will carry 15%, optimisation and engineering insight 15%, and software quality and documentation 10%.

The organisers say the objective is to move participants beyond simply producing a functioning simulation. Teams are expected to demonstrate a complete engineering workflow — from input and modelling to simulation, reference comparison, error analysis and design conclusions.

The challenge is part of a broader effort to expose students to computational approaches increasingly used in aerospace engineering, where digital models can help engineers study flight performance, thermal behaviour, staging and system reliability before committing to physical testing.

The official competition guidelines remain the binding document for eligibility, technical requirements, safety provisions and submission rules.