Examples¶
Basics for Point Sensors¶
- Basics
- Basics: Pyvale point sensor simulation
- Basics: Sensor model & get_measurements() vs calc_measurements()
- Basics: Building a point sensor array from scratch with custom errors
- Basics: Overview of the basic error library
- Basics: Field-based systematic errors
- Basics: Sensor calibration systematic errors
- Basics: Sensor spatial averaging and averaging errors
- Basics: Vector field (displacement) sensors
- Basics: Custom vector field sensors
- Basics: Sensor angles for vector fields
- Basics: Chaining field errors
- Basics: 3D vector field sensors
- Basics: Tensor field sensors (strain gauges)
- Basics: Custom tensor field sensors (strain gauges) in 2D
- Basics: Custom tensor field sensors (strain gauges) in 3D
- Basics: Multi-physics experiment simulation in 2D
- Basics: Multi-physics experiment simulation in 3D
Blender for Digital Image Correlation¶
Digital Image Correlation¶
Mooseherder¶
- Mooseherder
- Creating a configuration file
- Modifying moose input files
- Modifying gmsh input files
- Running MOOSE once
- Running Gmsh once
- Run Gmsh then MOOSE once
- Running a parameter sweep of a MOOSE simulation
- Running a parameter sweep of a Gmsh and MOOSE simulation
- Using multiple calls to run parallel sweeps
- Reading exodus output from a MOOSE simulation
- Reading exodus output from a parameter sweep
- Read parameter sweep results for a MOOSE simulation
- Read parameter sweep results for a Gmsh and MOOSE simulation
- Using read config to extract specific variables from a sweep
- Reading results from a pre-run parameter sweep