About MASTAN2
MASTAN2 is an interactive structural analysis program that provides pre-processing, linear and nonlinear analyses, and post-processing capabilities. In many ways, MASTAN2 is similar to today's commercially available structural analysis software. The number of pre- and post-processing options, however, has been limited in order to minimize the amount of time needed for a user to become proficient at its use.
There are currently two versions of MASTAN2 available.
Standalone/MATLAB Version (MASTAN2 v5.2)
The linear and nonlinear analysis routines are based on the theoretical and numerical formulations presented in the text Matrix Structural Analysis, 2nd Edition, by McGuire, Gallagher, and Ziemian (available for free download under the Textbook tab). The reader is strongly encouraged to use this software as a tool for demonstration, reviewing examples, solving problems, and performing analysis and design studies (see the Stability Fun tab). The program is written in modular format, allowing users to develop and implement additional or alternative analysis routines directly within the software. MASTAN2 is based on MATLAB, a premier software package for numeric computing and data analysis.
Developed by:
- Ronald D. Ziemian – Professor, Bucknell University
- William McGuire – Late Professor of Civil Engineering, Emeritus, Cornell University
- Siwei Liu – Assistant Professor, The Hong Kong Polytechnic University
Web Version (MASTAN2-Web)
MASTAN2-Web is a comprehensive, browser-based implementation of the MASTAN2 structural analysis software. It brings the power of advanced second-order inelastic linear and nonlinear analysis capabilities, including GMNIA, to the web, offering a fully offline, interactive, and platform-independent environment for students, researchers, and engineers.
This project is a faithful port of the original Standalone/MATLAB version of MASTAN2, preserving its numerical accuracy and analysis capabilities while introducing a modern, responsive user interface and improved 3D visualization.
Direct Access: https://www.mastan2.com/web
Developed by:
- Ronald D. Ziemian – Professor, Bucknell University
- Siwei Liu – Assistant Professor, The Hong Kong Polytechnic University
Key Contributor:
- Haoyi Zhang – Ph.D. Candidate, The Hong Kong Polytechnic University