Automated preprocessing of building models for structural analysis

Abstract

BIM workflows still involve time-consuming manual model preprocessing for structural analysis such as assigning new data like structural material properties or loads, which prevents prompt feedback and is error prone. The main objective of this research is to automate the preprocessing of analytical building models so as to accelerate and improve structural analysis. The research is based on literature review and a real use case analysis, followed by formalization of preprocessing methods, their verification via two pilot building models, and evaluation by practitioners through panel discussion. The developed procedures can automatically assign loads, supports and joints floor-wise and reduce the model preparation time, errors and design costs in daily structural analysis practice; however, further adoption and consideration of existing practices is needed to increase the usefulness and usability of the proposed methods.