Skip to main content

Sap2000 API python interface

Project description

Sap2000py

Sap2000py is a python module to interact with Sap2000 API

This Demo below shows how to interact with SAP2000 using the Sap2000py library. The project includes complete examples of creating and manipulating SAP2000 models, running analyses, and exporting results to Excel.

Contents

Installation

  1. Clone this repository to your local machine.
  2. Install the dependencies:
pip install Sap2000py

Usage

Below are detailed instructions for using Sap2000pyDemo.py.

Setting the Model Path

At the beginning of the script, set the path to your model file:

ModelPath = 'F:\\python\\Sap2000\\Models\\Test.sdb'

Creating and Opening a SAP2000 Project

Create a Sap2000py object and open the SAP2000 program:

from Sap2000py.Saproject import Saproject

Sap = Saproject()
Sap.openSap()
Sap.File.Open(ModelPath)

Model Information

Get basic information about your SAP2000 project:

Sap.getSapVersion()
Sap.getProjectInfo()
Sap.getUnits()

Make changes to the model:

# Set the project information with field and value
Sap.setProjectInfo("Author","Gou Lingyun")
Sap.setProjectInfo("Description","This is a test model")

# or you can set project information with a dictionary
Sap.setProjectInfo(info_dict={"Author":"Gou Lingyun","Description":"This is a test model"})

# Set the units of the model
Sap.setUnits("KN_m_C")

Adding Materials and Elements

Add materials and elements to the model:

# Add China Common Material Set·
Sap.Scripts.AddCommonMaterialSet(standard = "JTG")

# Add Joints and Elements
joint_coord = np.array([[0,0,0], [10,0,0], [20,0,0], [30,0,0]])
Sap.Scripts.AddJoints(joint_coord)
Sap.Scripts.AddElements([[1,2], [2,3], [3,4]])

Analysis

Run a modal analysis:

Sap.Scripts.Analyze.RemoveCases("All")
Sap.Scripts.Analyze.AddCases(Casename = ['DEAD', 'MODAL'])
Sap.Scripts.Analyze.RunAll()

Post-processing

Export analysis results to an Excel file:

filename = 'F:\\python\\Sap2000\\Models\\Test.xlsx'
wb = openpyxl.load_workbook(filename)
ws = wb.worksheets[0]

Sap.Scripts.SelectCombo_Case(["DEAD"])
Name, EleAbsForce, __, __ = Sap.Scripts.GetResults.ElementJointForce_by_Group("PierBottom")
Sap.Scripts.writecell(ws, EleAbsForce[:,[2]], "D22")

wb.save(filename)

Saving and Closing

Save the project and close the SAP2000 program:

Sap.File.Save()
Sap.closeSap()

Dependencies

  • python>=3.9

This project requires the following Python libraries:

  • numpy
  • os
  • openpyxl
  • comtypes>=1.1.11
  • itertools
  • rich
  • loguru
  • pathlib
  • json
  • sectionproperties>=3.3.0

For more information, please check Sap2000pyDemo.py.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sap2000py-0.1.3.tar.gz (15.1 kB view details)

Uploaded Source

Built Distribution

Sap2000py-0.1.3-py3-none-any.whl (14.9 kB view details)

Uploaded Python 3

File details

Details for the file sap2000py-0.1.3.tar.gz.

File metadata

  • Download URL: sap2000py-0.1.3.tar.gz
  • Upload date:
  • Size: 15.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for sap2000py-0.1.3.tar.gz
Algorithm Hash digest
SHA256 a6446bed5836f8d6b9bc07e086197babe50ca5148d955370509cda4adcd32b81
MD5 ef6b832a506f41ffcc420aa62ababaad
BLAKE2b-256 1861871f38ed16e38a33501dadc86898eadfc69269de014df608c56b2e30c679

See more details on using hashes here.

File details

Details for the file Sap2000py-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: Sap2000py-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 14.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for Sap2000py-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 83c4f24bad29242d728f040135d6b5708f3be85a054a61ef00b53645bf82b375
MD5 e5f058cd900f1f3a915f4fdf7b591035
BLAKE2b-256 f9d11e227c035858495b1876a5fc6ee29e0b0256f8169ec6869ff43133e3e133

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page