Aperi CMC
We provide software that accelerates solid mechanics simulations.
AI-Guided Workflow
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Interactive assistant walks you through problem setup, validates modeling decisions, and performs tedious tasks such as input deck generation
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Every decision documented, with full traceability for improved peer review
Aperi-Mech Solver
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Supports unstructured meshes. Generate analysis-ready meshes from imperfect geometry or raw scans without manual cleanup
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Explicit transient dynamics, implicit dynamics, and statics. All done with matrix-free solvers, no global assembly required
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Performance portable: single codebase runs natively on CPUs and GPUs with no vendor lock-in
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Meshfree and finite element methods in a single framework
Turnkey HPC
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Secure on-premise infrastructure, easy to deploy and optimized for simulation workloads
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Designed for sensitive environments where data can't leave the building
Aperi-Mech
Aperi-Mech is our simulation code. It enables engineers to simulate solids under extreme deformation, from CT scan to results, with minimal manual intervention. Our proprietary variant of the Conforming Reproducing Kernel (CRK) method handles complex geometries and extreme deformations that would fail in traditional FEA without many hours of manual meshing. The code includes an integrated pipeline that automatically generates meshes from CT scans or complex CAD. It runs explicit dynamics or quasi-static analysis, and supports classical finite element formulations for broader applicability. Performance portability enables efficient execution across GPU and CPU hardware from a single codebase. It's purpose-built to work with our AI agent, which guides engineers through setup, troubleshooting, analysis, and error estimation.
Here is an example of a landslide simulation that uses real terrain data from a lidar scan. No manual geometry cleanup was involved. The simulation uses explicit dynamics with a Drucker-Prager material model for the muddy soil in the middle of the hill. The topographic dataset came from the Geometrics Lab at Oregon State University, using a ground filter developed by EZDataMD to strip out vegetation, structures, and other noise.
​Conforming Reproducing Kernel
​The Conforming Reproducing Kernel Method (CRK) is the result of extensive research focusing on the application of mesh-free methods to expedite simulation development. In most simulation processes, a significant bottleneck lies in the effort required to generate a suitable discretization, known as "meshing," from the given geometry. This task is particularly critical for dynamic structural analyses, as computational costs are directly linked to mesh quality.
CRK offers an effective solution for simulating scenarios involving complex geometries, low-quality meshes, and nearly incompressible materials, all without increasing the computational cost to obtain accurate solutions. For more detailed information, please refer to the linked resources below:
