- Gravity analysis
- Rayleigh analysis
- Nonlinear Time History Analysis
- Pushover Analysis (with 2 lateral loading patterns: Uniform and equivalent lateral force)
- A function to create a beam with simple(pinned) connections at its ends using zerolength elements
- A function to visualize some analysis outputs
- An option to add TMD to the structure (for 9 and 20-story models)
- …

👉opsmatcal:
Material calibration is the process of deriving material behaviors from sets of material test data.
opsmatcal is a package for calibrating opensees uniaxial materials using genetic algorithm and lean square method in Python. Using this package, you can calibrate almost any type of uniaxial materials.

👉Developer:
Oktai Alizade Arasi

👉Installing opsmatcal
pip install opsmatcal

opsmatcal Examples:👇👇👇

instagram:
https://www.instagram.com/opensees_apps

data files 👇👇

👉opsmatcal Version 1.2:
Material calibration is the process of deriving material behaviors from sets of material test data.
opsmatcal is a package for calibrating opensees uniaxial materials using genetic algorithm.

New in this version:
- Using various error calculation methods.
Coefficient of determination (R2 or R-squared)
Mean square error (MSE)
Root mean square error (RMSE)
Mean absolute error (MAE)
Mean absolute percentage error (MAPE)
Symmetric mean absolute percentage error (SMAPE)
- Automatically changing (narrowing) the range of variables according to the progress of the optimization operation.

👉Developer:
Oktay Alizadeh Arasi

👉Installing opsmatcal
pip install opsmatcal