SAP+MATLAB

버전 7.0.2 (1.01 MB) 작성자: Reza

A toolbox for calling SAP2000(CSiBRiDGE) by MATLAB

https://github.com/RJ-Soft/SM-Toolbox

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업데이트 날짜: 2022/4/3

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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

인용 양식

Javanmardi, R., and B. Ahmadi-Nedushan. "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." Iran University of Science & Technology 11.3 (2021): 357-382.

Javanmardi, Reza, and Behrouz Ahmadi-Nedushan. “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, vol. 17, no. 3, Springer Science and Business Media LLC, Mar. 2023, pp. 378–95, doi:10.1007/s11709-022-0899-9.

양식 더 보기

وانمردی رضا, and احمدی ندوشن بهروز. “بهینه سازی مبتنی بر قابلیت اعتماد چلیک های دولایه با استفاده از الگوریتم ستوی الگو و شبکه عصبی بهینه شده به عنوان مدل ایگزین.” مهندسی سازه و ساخت, vol. 10, no. 7, انجمن مهندسی سازه ایران, Sept. 2023, doi:10.22065/jsce.2022.359507.2919.

양식 더 보기

Reza (2024). SAP+MATLAB (https://github.com/RJ-Soft/SM-Toolbox/releases/tag/7.0.2), GitHub. 검색됨 2024/4/25.

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버전	게시됨	릴리스 정보
7.0.2	2022/4/3	See release notes for this release on GitHub: https://github.com/RJ-Soft/SM-Toolbox/releases/tag/7.0.2	Toolbox Zip
7.0.1	2022/3/31	See release notes for this release on GitHub: https://github.com/RJ-Soft/SM-Toolbox/releases/tag/7.0.1	Zip Toolbox
7.0.0	2022/2/7	See release notes for this release on GitHub: https://github.com/RJ-Soft/SM-Toolbox/releases/tag/7.0.0	Zip Toolbox
6.0.4	2021/5/24	See release notes for this release on GitHub: https://github.com/RJ-Soft/SM-Toolbox/releases/tag/6.0.4	Toolbox Zip
3.8.17	2021/1/7	See release notes for this release on GitHub: https://github.com/RJ-Soft/SM-Toolbox/releases/tag/3.8.17	Zip Toolbox

이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.

MLA	Javanmardi, Reza, and Behrouz Ahmadi-Nedushan. “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, vol. 17, no. 3, Springer Science and Business Media LLC, Mar. 2023, pp. 378–95, doi:10.1007/s11709-022-0899-9.
APA	Javanmardi, R., & 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), 378–395. Springer Science and Business Media LLC. Retrieved from https://doi.org/10.1007%2Fs11709-022-0899-9
BibTeX	@article{Javanmardi_2023, doi = {10.1007/s11709-022-0899-9}, url = {https://doi.org/10.1007%2Fs11709-022-0899-9}, year = 2023, month = {mar}, publisher = {Springer Science and Business Media {LLC}}, volume = {17}, number = {3}, pages = {378--395}, author = {Reza Javanmardi and Behrouz Ahmadi-Nedushan}, title = {Optimal design of double-layer barrel vaults using genetic and pattern search algorithms and optimized neural network as surrogate model}, journal = {Frontiers of Structural and Civil Engineering} }

MLA	وانمردی رضا, and احمدی ندوشن بهروز. “بهینه سازی مبتنی بر قابلیت اعتماد چلیک های دولایه با استفاده از الگوریتم ستوی الگو و شبکه عصبی بهینه شده به عنوان مدل ایگزین.” مهندسی سازه و ساخت, vol. 10, no. 7, انجمن مهندسی سازه ایران, Sept. 2023, doi:10.22065/jsce.2022.359507.2919.
APA	وانمردی رضا, & احمدی ندوشن بهروز. (2023). بهینه سازی مبتنی بر قابلیت اعتماد چلیک های دولایه با استفاده از الگوریتم ستوی الگو و شبکه عصبی بهینه شده به عنوان مدل ایگزین. مهندسی سازه و ساخت, 10(7). انجمن مهندسی سازه ایران. Retrieved from https://doi.org/10.22065/jsce.2022.359507.2919
BibTeX	@article{وانمردی_احمدی ندوشن_2023, place={IR}, title={بهینه سازی مبتنی بر قابلیت اعتماد چلیک های دولایه با استفاده از الگوریتم ستوی الگو و شبکه عصبی بهینه شده به عنوان مدل ایگزین}, volume={10}, url={https://doi.org/10.22065/jsce.2022.359507.2919}, DOI={10.22065/jsce.2022.359507.2919}, number={7}, journal={مهندسی سازه و ساخت}, publisher={انجمن مهندسی سازه ایران}, author={وانمردی, رضا and احمدی ندوشن, بهروز}, year={2023}, month={Sep} }