SAP+MATLAB

A toolbox for calling SAP2000(CSiBRiDGE) by MATLAB

https://www.sapmatlab.com/

Version 7.0.2 (1.01 MB)
1.2K Downloads
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3 Apr 2022

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Today, in various fields of engineering, including structural and earthquake, much research is done concerning artificial intelligence and optimization. Structural analysis is required in the programming process in most of such studies. Researchers use different methods to solve this problem, one of the most effective of which is linking MATLAB software with powerful structural analysis software. SAP2000 software, founded in 1975 by CSI affiliated with Berkeley University, is one of the most powerful software. The software of CSI has been used by thousands of engineering firms in over 160 countries for the design of major projects, including the Taipei 101 Tower in Taiwan, One World Trade Center in New York, the 2008 Olympics Birds Nest Stadium in Beijing, and the cable-stayed Centenario Bridge over the Panama Canal. CSI’s software is backed by more than four decades of research and development, making it the trusted choice of sophisticated design professionals everywhere.
The company offers CSI OAPI to link its products to programming languages based on the Visual Basic programming language and provides an example for other programming languages. In relation to MATLAB software, indirect commands are used for modeling, and string variables and vectors follow the Visual Basic commands, which creates problems for MATLAB programmers. In the SM toolbox, CSI OAPI commands are provided as explicit MATLAB functions, making it much easier for MATLAB programmers to use. The toolbox is also designed to support SAP2000 and CSi BRiDGE software from version 17 to the latest.
You can download instructions here

Cite As

Ahmadi-Nedushan, B. and Javanmardi, R., 2025. Enhancing Structural Optimization: A Novel Four-Step Surrogate-Assisted Approach. Iranian Journal of Science and Technology, Transactions of Civil Engineering, pp.1-25. https://doi.org/10.1007/s40996-025-02016-9

Javanmardi, R. and Ahmadi-Nedushan, B., 2023. Optimal design of double-layer barrel vaults using genetic and pattern search algorithms and optimized neural network as surrogate model. Frontiers of Structural and Civil Engineering, 17(3), pp.378-395. https://doi.org/10.1007/s11709-022-0899-9

Javanmardi, R. and Ahmadi-Nedushan, B., 2021. Cost optimization of steel-concrete composite I-girder bridges with skew angle and longitudinal slope, using the Sm toolbox and the parallel pattern search algorithm. Int J Optim Civil Eng, 11(3), pp.357-82.https://www.iust.ac.ir/ijoce/article-1-488-en.html

Javanmardi, R. and Ahmadi-Nedushan, B., 2025. A Hybrid Neural Network-Kriging Ensemble Framework for Efficient Structural Reliability Analysis. Saudi J Civ Eng, 9(9), pp.245-266. https://saudijournals.com/articles/12030/

Javanmardi R, Rahami H. Structural Reliability Assessment of Concrete-Filled Steel Frame Buildings via a Complex-Valued Deep Surrogate Model. IJOCE 2026; 16 (2) :203-222. http://ijoce.iust.ac.ir/article-1-670-en.html

Javanmardi, R. and Ahmadi-Nedushan, B., 2023. Reliability-based design optimization of double layer barrel vault using pattern search algorithm and optimized neural network as an surrogate model. https://doi.org/10.22065/jsce.2022.359507.2919

Reza (2026). SAP+MATLAB (https://github.com/RJ-Soft/SM-Toolbox/releases/tag/7.0.2), GitHub. Retrieved .

General Information

MATLAB Release Compatibility

  • Compatible with R2014b and later releases

Platform Compatibility

  • Windows
  • macOS
  • Linux
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Version Published Release Notes
7.0.2

See release notes for this release on GitHub: https://github.com/RJ-Soft/SM-Toolbox/releases/tag/7.0.2
7.0.1

See release notes for this release on GitHub: https://github.com/RJ-Soft/SM-Toolbox/releases/tag/7.0.1
7.0.0

See release notes for this release on GitHub: https://github.com/RJ-Soft/SM-Toolbox/releases/tag/7.0.0
6.0.4

See release notes for this release on GitHub: https://github.com/RJ-Soft/SM-Toolbox/releases/tag/6.0.4
3.8.17

See release notes for this release on GitHub: https://github.com/RJ-Soft/SM-Toolbox/releases/tag/3.8.17
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.