Engineering Papers⌕ Search

NASA NTRS · 20060042939

PyCraft: A unifying multibody dynamics algorithm development workbench

Abstract

The source did not provide an abstract. Follow the original record for more information.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Ziegler, John, Abhinandan, Jain. 2005-08-01. PyCraft: A unifying multibody dynamics algorithm development workbench. https://ntrs.nasa.gov/citations/20060042939

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related reports

High Fidelity Aerospace Simulations at NASA Ames SimLabs

NASA Ames SimLabs is home to unique simulation facilities capable of a wide range of aerospace systems research. This presentation will focus on the Vertical Motion Simulator with thoughts on future AR/VR applications and research.

simulation↗

Simulation for a Coevolved System-of-Systems Meta-Architecture

This paper describes a simulation of a system-of-systems for counter-smuggling. The simulation is described and results are provided. The results demonstrate the applicability of the agent based modeling paradigm to understand key factors influencing SoS performance.

simulation↗

Computational Modeling of Space Physiology

The Digital Astronaut Project (DAP), within NASAs Human Research Program, develops and implements computational modeling for use in the mitigation of human health and performance risks associated with long duration spaceflight. Over the past decade, DAP developed models to provide insights into space flight related changes to the central nervous system, cardiovascular system and the musculoskeletal system. Examples of the models and their applications include biomechanical models applied to advanced exercise device development, bone fracture risk quantification for mission planning, accident investigation, bone health standards development, and occupant protection. The International Space Station (ISS), in its role as a testing ground for long duration spaceflight, has been an important platform for obtaining human spaceflight data. DAP has used preflight, in-flight and post-flight data from short and long duration astronauts for computational model development and validation. Examples include preflight and post-flight bone mineral density data, muscle cross-sectional area, and muscle strength measurements. Results from computational modeling supplement space physiology research by informing experimental design. Using these computational models, DAP personnel can easily identify both important factors associated with a phenomenon and areas where data are lacking. This presentation will provide examples of DAP computational models, the data used in model development and validation, and applications of the model.

simulation↗