BIM technology has been applied and developed in the engineering construction industry for some time, and its tools have reached an initial stage of maturity. Currently, most commercial BIM software offers general functions that can sufficiently meet designers’ needs during the early adoption of BIM technology. However, with the increasing complexity of modern engineering projects and growing practical demands, BIM application software must provide users with the ability to expand and customize functionalities to better serve designers’ evolving requirements.
Revit, Autodesk’s flagship BIM solution for the engineering construction industry, has become a crucial platform in BIM implementation. Its applications are well-established, especially in the civil construction sector, and it has earned recognition from numerous professionals worldwide. In response to the rising demands of BIM software users and the influence of computational design thinking in architecture, Autodesk introduced the concept of computational BIM technology.
Computational BIM technology applies the powerful computing capabilities of modern computers to engineering design by building on existing general BIM software. It integrates computer and information technologies to expand or customize application features based on actual project needs. This approach enhances data filtering, interaction, and transmission within building information models, thereby improving the utilization of design data. Additionally, it leverages scripting, computational simulation, parameterization, and automation to generate design solutions and reduce repetitive tasks.
Autodesk’s computational BIM technology is primarily implemented through Visual Programming Languages, which enable users to create computer programs within a graphical interface. These programs follow step-by-step methods to address specific challenges. This technology can be applied throughout various stages of the architectural design process. On one hand, computers generate and adapt architectural design elements, incorporating feedback from designers to produce optimized designs. On the other hand, enhanced information exchange capabilities allow easy extraction of design data from building information models. By processing this data, designers can evaluate current results and guide subsequent design phases effectively.
Article by: Zhang Xiaoyan (Qingdao University of Technology)
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