Chrono::Ray: A Distributed Framework for High-Throughput Simulation-Based Analysis of Multibody Systems

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Hauptverfasser: Slaton, Khailanii, Negrut, Dan
Format: Preprint
Veröffentlicht: 2026
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author Slaton, Khailanii
Negrut, Dan
author_facet Slaton, Khailanii
Negrut, Dan
contents Large-scale simulation studies can provide invaluable insights across computational engineering efforts, but they are often computationally demanding, requiring the use of distributed computing, which is itself not a simple task. Chrono::Ray addresses this challenge by integrating the high-fidelity multibody dynamics simulation engine Chrono with the open-source distributed computing platform Ray. The result is a modular workflow framework providing user-friendly abstractions for large-scale engineering simulation studies, supporting scalable orchestration of large ensembles of simulation trials without requiring users to directly manage distributed infrastructure. The current capabilities of the framework are demonstrated through two representative examples: parameter recovery for a multibody lunar lander model, and design of experiments for parameters of a continuum terramechanics model. Chrono::Ray is a part of the larger Project Chrono ecosystem and is released as an open-source software package, with source code available at https://github.com/uwsbel/chrono-ray.git.
format Preprint
id arxiv_https___arxiv_org_abs_2605_13767
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Chrono::Ray: A Distributed Framework for High-Throughput Simulation-Based Analysis of Multibody Systems
Slaton, Khailanii
Negrut, Dan
Computational Engineering, Finance, and Science
Large-scale simulation studies can provide invaluable insights across computational engineering efforts, but they are often computationally demanding, requiring the use of distributed computing, which is itself not a simple task. Chrono::Ray addresses this challenge by integrating the high-fidelity multibody dynamics simulation engine Chrono with the open-source distributed computing platform Ray. The result is a modular workflow framework providing user-friendly abstractions for large-scale engineering simulation studies, supporting scalable orchestration of large ensembles of simulation trials without requiring users to directly manage distributed infrastructure. The current capabilities of the framework are demonstrated through two representative examples: parameter recovery for a multibody lunar lander model, and design of experiments for parameters of a continuum terramechanics model. Chrono::Ray is a part of the larger Project Chrono ecosystem and is released as an open-source software package, with source code available at https://github.com/uwsbel/chrono-ray.git.
title Chrono::Ray: A Distributed Framework for High-Throughput Simulation-Based Analysis of Multibody Systems
topic Computational Engineering, Finance, and Science
url https://arxiv.org/abs/2605.13767