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Scalable vehicle crash design

Deliver safer vehicles faster with proven HPC scalability

Engineer works on scalable vehicle crash design at desktop station

Rising vehicle safety standards and shrinking development timelines demand more from your engineering team. Today's crash models contain 6-8 million elements and by 2030, that number will reach 26 million. Regulatory authorities require more test conditions and load cases, making physical testing alone cost-prohibitive.

The result? You need many more simulation runs with larger, more complex models. Your CPU demand is skyrocketing, and fast, reliable results are essential.

Get proven, scalable structural analysis for highly non-linear, dynamic crash simulations. Work seamlessly with market-leading hardware developers to stay ahead of customer needs.

Why choose Siemens for crash simulation

  • Accurate simulations reduce reliance on expensive physical testing
  • Improved productivity with 35x performance gains over 10 generations of CPUs
  • Fast job turnaround times, essential for competitive product development
  • Robust, fully repetitive results you can trust for safety-critical applications
  • Affordable HPC making high-performance computing accessible to companies of all sizes

Proven results

Our solver delivers fast, efficient structural analysis irrespective of the hardware you're running on. Scalability is proven and assured. Whether you're optimizing a single component or simulating a complete vehicle crash across multiple load cases, you can:

  • Run larger, more complex models without compromising speed
  • Achieve 80%+ cluster efficiency with intelligent resource allocation
  • Reduce time-to-market for next-generation vehicle designs
  • Make confident design decisions based on accurate predictive models

Ready to accelerate your crash simulation workflow?

Download the white paper to learn how our solver scales across modern HPC hardware, optimizes your computing infrastructure, and delivers the fast job turnaround times your team needs.

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