Development of a platform for benchmarking of simulation models for verification and validation
- This presentation introduces a modular and open platform developed by BAM for the verification and validation (V&V) of simulation models, particularly material models used across various solvers. The platform aims to enhance transparency, reproducibility, and comparability in computational engineering by integrating standardized workflows, benchmark datasets, and semantic technologies.
Key components include:
Simulation workflows powered by tools like Snakemake and JupyterHub,
Research Object Crates (ROCrates) for structured data and provenance tracking,
Ontologies and knowledge graphs to semantically describe models, data, and results,
Federated registries for storing and querying benchmark results and ROCrates.
The platform supports both verification (e.g., analytical comparisons, convergence studies) and validation (e.g., experimental data matching), and facilitates tool-independent performance metrics using standardized output formats. It promotes collaborativeThis presentation introduces a modular and open platform developed by BAM for the verification and validation (V&V) of simulation models, particularly material models used across various solvers. The platform aims to enhance transparency, reproducibility, and comparability in computational engineering by integrating standardized workflows, benchmark datasets, and semantic technologies.
Key components include:
Simulation workflows powered by tools like Snakemake and JupyterHub,
Research Object Crates (ROCrates) for structured data and provenance tracking,
Ontologies and knowledge graphs to semantically describe models, data, and results,
Federated registries for storing and querying benchmark results and ROCrates.
The platform supports both verification (e.g., analytical comparisons, convergence studies) and validation (e.g., experimental data matching), and facilitates tool-independent performance metrics using standardized output formats. It promotes collaborative development through containerized environments, automated testing, and reproducible research practices.
This initiative contributes to the broader goal of ensuring safety in technology and chemistry, aligning with BAM’s mission and supporting the scientific community in developing reliable simulation models.…

