Computational & Technology Resources
an online resource for computational,
engineering & technology publications
Civil-Comp Conferences
ISSN 2753-3239
CCC: 14
PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY
Edited by: P. Iványi, J. Kruis and B.H.V. Topping
Paper 8.2

The Automation of Building Information Modeling (BIM) Methodology in Structural Design of Concrete Walls

M. Cangussu Da Silva

, Fumec, Belo Horizonte, Brasil

Full Bibliographic Reference for this paper
M. Cangussu Da Silva, "The Automation of Building Information Modeling (BIM) Methodology in Structural Design of Concrete Walls", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Sixteenth International Conference on Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 14, Paper 8.2, 2026, doi:10.4203/ccc.14.8.2
Keywords: automation, BIM, dynamo, python, concrete walls, processes.

Abstract
The adoption of digital platforms like Building Information Modeling (BIM) has become increasingly prevalent in the Architecture, Engineering, and Construction (AEC) industry, facilitating information sharing among stakeholders and specializations. This advancement has introduced automation through visual programming languages, eliminating repetitive tasks and enabling interaction with modeling technologies such as Autodesk Revit. These capabilities create new, efficient workflows. This article explores the automation of BIM processes using visual programming languages like Dynamo and Python, focusing on structural projects in Autodesk Revit. The main goal is to optimize workflows, enhancing collaboration and efficiency while showcasing the potential of technology in structural design. A case study on routines for cast-in-place concrete walls serves as the practical application. Initially, the research identifies processes for automation, leveraging Dynamo—a visual programming plugin integrated into Revit. Methodologies assess routine development, usage, documentation, and their benefits. Specific algorithms automate tasks like importing data from AutoCAD files and modeling reinforced concrete walls in Revit. This reduces errors, simplifies processes, and boosts productivity. Demonstrations of these routines include QR codes linked to videos showcasing the automations’ functionality. The study highlights how algorithms in BIM software significantly improve efficiency, collaboration, and quality in structural projects. By advancing the automation of BIM processes, this work contributes to the broader adoption of BIM methodology, promoting innovation and modernization in the construction industry.

download the full-text of this paper (PDF, 1815 Kb)

go to the previous paper
go to the next paper
return to the table of contents
return to the volume description