As the leader in American stock car racing, NASCAR sets the pace for innovation. But in 2018, NASCAR executives realized they needed a complete redesign of the standard stock car chassis timprove relevancy, competition and safety. NASCAR’s engineering team was on its way to meeting an aggressive launch date of 2022 when the global pandemic shut down its physical testing facilities. In LS-DYNA, NASCAR had the proven, purpose-built solution it needed to conduct thousands of crash tests of every type — including frontals, roof crashes, lateral side impacts, rear impacts, and oblique impacts. However, full-body crash simulations represent computationally large studies. Not only did the NASCAR engineering team need to run these simulations as quickly as possible, but they also had to iterate immediately, making rapid design changes and assessing a new set of trade-offs. Already on a tight schedule, NASCAR didn’t have the time to configure, purchase, and install hardware. The team needed flexible computing capacity tomeet its day-to-day needs, which could change dramatically.
Built on a robust Microsoft Azure platform, Cloud delivered the complete, on-demand cloud computing ecosystem NASCAR needed to quickly and seamlessly complete their crash simulations in LS-DYNA. The Ansys Customer Excellence (ACE) team also helped NASCAR specify a hardware solution — 44 Intel® Xeon®Platinum 8168 processor cores, with 8 GB of RAM per CPU core — that provided an optimized cost/performance ratio. This combination of Intel® for the hardware, Microsoft for the Azure platform, and Ansys for delivering the Cloud package created a single-source solution for NASCAR. As the Next Gen chassis design changed during the safety evaluation stage, Cloud ran new simulations quickly, enabling NASCAR engineers to see results, weigh tradeoffs, and move on to the next iteration. As day-to-day computing needs changed, Cloud accommodated that shifting capacity with no lags or downtime, keeping NASCAR’s ambitious development schedule on track.
Because Cloud is a preconfigured, all-in-one hardware and software solution, NASCAR could access best-of-breed technology without the need to invest in, install, and maintain its own computing resources, saving significant time and money. With the ability to run simulations in a robust, stable, and responsive cloud environment, NASCAR could minimize its reliance on physical prototypes and full-scale test crashes, which can exceed $500,000 per test. In fact, NASCAR was able to confidently launch its Next Gen car design on schedule by staging only two full scale physical test crashes for final design validation. By leveraging LS-DYNA on Cloud, NASCAR was able to save time and costs without sacrificing safety or analytic rigor while en route to a successful launch of the Next Gen car design in time for the 2022 racing season.