Instead of manually iterating toward a workable solution, Support Designer now enables engineers to define a target factor of safety and let the software calculate an optimized support configuration to achieve it.
This means:
Instead of asking, “Will this support pattern work?”, engineers can now ask, “What support configuration achieves my design objective most efficiently?”
What makes Support Designer powerful is its direct integration with Slide2's computational engine. This isn't a simplified estimation tool layered on top of existing functionality; it's built directly into the software's core, using the same limit equilibrium methods and automated critical surface search that drives every standard stability analysis.
Support Designer leverages Slide2's support interaction framework to optimize placement, length, spacing, and capacity based on project-specific requirements. Because Slide2 already supports a wide range of reinforcement systems – from soil nails and rock bolts to tiebacks and geosynthetics – this makes it one of the most flexible slope stability platforms available for design optimization.



With Support Designer, Slide2 closes the loop between analysis and design. For the first time, a single Slide2 run can tell you not just whether your slope fails, but what support configuration will fix it.
For consultants, this means faster turnaround on design alternatives. For contractors, it means better constructability planning. For owners, it means more cost-effective and reliable support systems.
Support design shouldn't be a process of educated guessing. It should be systematic, performance-driven, and grounded in the same rigorous analysis engineers already trust.
Rocscience has always believed that better tools lead to better decisions, and better decisions lead to safer, more efficient infrastructure. With Support Designer, Rocscience is closing the gap between what engineers know and what they can prove: every reinforcement decision backed by calculation, not conjecture, and every support pattern performance-driven from the first run.
The days of manual iteration are over. The era of optimization-driven design has arrived.
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