Multibody dynamics · in your browser
BriskFyr Documentation¶
Model, solve and measure mechanisms — multibody dynamics simulation for mechanical, automotive and aerospace engineers.
Explore the docs¶
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Concepts
The ideas behind the tool — degrees of freedom, joints as constraints, drive laws, damping, frames and units, and how to validate a model.
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Reference
Component-by-component specs for every node, joint, load and element you can add to a model. (Being built out.)
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Workspace
The browser app itself — the toolbar, viewport controls, panels, and how to run and review a simulation. (Being built out.)
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Tutorials
Six guided, physics-validated builds that take you from a single falling body to a measured, working mechanism.
Tutorials¶
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1 · Your First Simulation
Build, solve and play back a falling body. Meets every part of the workspace. Validated against free fall,
s = ½gt². -
2 · Build a Pendulum
Add your first joint and a body becomes a mechanism. Validated against the pendulum period,
T = 2π√(L/g). -
3 · A Tour of Joints
Revolute vs Prismatic vs Spherical — see degrees of freedom in motion, one distinct movement per DOF count.
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4 · Springs & Dampers
Force elements: oscillation and damping. Validated against
ωₙ = √(k/m)and the damping ratio ζ. -
5 · Forces, Torques & Drive Laws
Apply loads and shape them over time. Validated against
a = F/mandα = τ/I. -
6 · Markers & Requests
Measure results as exact numbers — rigid-link distance, swing angle, joint reaction — and export them.
What is BriskFyr?¶
BriskFyr is a cloud-native engineering-simulation suite. Its first capability is multibody dynamics (MBD) — the rigid-body motion of linked mechanisms: linkages, suspensions, mechanisms, gear trains, and anything built from bodies connected by joints, springs, dampers and driven loads.
You author the model in the browser, the solve runs on managed compute, and results stream back as an animation you can scrub, plus reaction overlays and named measurement channels you can read and export. Finite-element (FEA) and computational-fluid-dynamics (CFD) capabilities are planned on the same platform.
This documentation is a work in progress
Six tutorials, a Getting Started quickstart, and a Concepts primer are live today; the full component reference and workspace guide are being built out next, plus worked validation benchmarks down the line.