We are pleased to highlight a recent research publication that utilizes BeamNG.tech in a novel approach to crash simulation. A new peer-reviewed publication titled “A novel and fast crash simulation method: Revolutionising racetrack safety barrier analysis,” authored by Bhavinkumar Arya, Jianchun Yao, John Laurence Davy, and Mohammad Fard, has been published and highlights the transformative potential of soft-body physics simulation in the domain of racetrack safety analysis.

This research, which leverages the power of BeamNG.tech, presents a novel and computationally efficient crash simulation approach using soft-body physics. Aimed directly at one of motorsport’s most challenging safety concerns, the design and evaluation of crash barriers, this study offers an innovative alternative to traditional Finite Element (FE) methods.

The authors present a “bottom-up” mass-spring model approach to simulate the behavior of Formula One tyre barrier systems during crash events. By using BeamNG.tech’s soft-body physics engine, the study is able to simulate these scenarios with a reasonable level of detail while requiring fewer computational resources compared to traditional methods. To assess the approach, the results were compared with those from conventional FE simulations as well as data from physical crash tests. This comparison suggests that soft-body physics, as implemented in BeamNG.tech, may serve as a useful and efficient tool alongside FE methods in certain crash simulation applications.

We encourage researchers, engineers, and safety advocates to explore its methodology and implications for rapid crash analysis.

Ready to simulate crash tests at scale, develop intelligent vehicle systems, or push the boundaries of dynamic physics-based research? Learn more about how BeamNG.tech can accelerate your R&D: https://beamng.tech/

Stay tuned for more exciting updates as we continue to support pioneering research in automotive safety and intelligent mobility!