COLBRICK is a graphical platform to estimate mechanical properties of the Colombian masonry using artificial neural networks (NN). The program simplifies the access to the data stored in the database, utilizes the developed neural network models, and enables the addition of new experimental test data. The first module, "Computational model," involves calculating masonry properties using the NN’s developed. Users can select a category, enter the basic parameters necessary for the model, and obtain specific results for the compressive and shear properties of the masonry. The module also provides graphical visualizations of various performance metrics of the NN’s and suggests reliability based on the Bootstrap methodology. The second module "Properties Catalog" displays statistical data from the DB for each category, including results related to unit strength, mortar strength, and various properties of walls tested in the laboratory. It also offers graphical visualizations to analyze different properties using multiple types of charts, leveraging the complete data set in the DB. The third module, "Add Information," allow users to input experimental data for the various tests included in the study. This information enhances the quality of the available data and updates the application's predictive models. Additionally, this module allows users to specify the units used in the tests, enabling the application to normalize variables and maintain a standardized database.

El software SICMA es una herramienta pedagógica diseñada por el estudiante Daniel Hernández Pineda con el objetivo de facilitar el proceso de aprendizaje de los estudiantes del curso de Análisis de Sistemas Estructurales. Este programa ayuda a comprender, de manera didáctica, distintos conceptos que se enseñan en esta asignatura a través de la idealización estructural. Algunos de estos conceptos son: tipos de apoyos, grado de indeterminación, diagramas de fuerzas internas, efectos de temperatura, asentamientos, entre otros.