Automation of stale frame-building modeling and structural analysis based on visual programming languages

This study presents the development and application of a custom script utilizing the visual programming language BHoM (Building Habitat Object Models) to automate the modeling and structural analysis process in the finite element method for steel frame buildings. The script was evaluated through testing on a prototype structure featuring mixed roofs and a steel framework. Structural analysis was conducted using conventional methods in the second phase, allowing for a comparative assessment. Results indicate a significant optimization in terms of time and cost, particularly in the quantity and type of resulting profiles with an optimization of 16.51% of the steel quantity, when employing the automated workflow facilitated by the BHoM script. This research underscores the efficacy of utilizing visual programming tools like BHoM for streamlining structural analysis processes in steel frame building design, offering potential improvements in efficiency and resource utilization. In addition to the findings outlined above, addressing the growing necessity for automation in construction processes is imperative. With the increasing complexity of modern structural designs and the prevalence of interoperability challenges among various software platforms, the role of automation becomes paramount. Automating tasks such as modeling and structural analysis not only enhances efficiency but also mitigates errors and inconsistencies inherent in manual workflows. By leveraging tools like the BHoM script developed in this study, structural teams can streamline their operations, improve collaboration, and adapt to the evolving demands of contemporary construction projects. This highlights the significance of embracing automation as a means to overcome challenges and drive innovation in the construction industry.