Proposal for A Workflow for Automating Nodes

Sammanfattning

The development of technology in project planning has enabled more efficient work through easier interaction and handling of complex problems. Despite the technological advancements, many companies have not yet utilized its potential, and many areas within the construction industry are in need of streamlined work processes. This study examines the possibilities of automating the design process for joints in steel structures using digital tools and artificial intelligence (AI) technologies. The digital tools examined are Tekla Structures and IDEA StatiCa, and how they, along with the developed workflow, can streamline the design process and improve the accuracy and quality of the work. Interviews with designers and AI developers have mapped out the current usage of digital tools and the perspective on automating the design process. Several challenges and limitations with the implementation of AI have been identified, such as safety risks, the need for extensive data, and human integration. To ensure that the joints are correctly designed and constructible, it is important to maintain a balance between automation and human expertise. The report aims to propose a workflow for automating the design process of joints. The proposed workflow may include various AI algorithms to achieve the best possible optimization. Some algorithms mentioned in the report are machine learning, artificial neural networks (ANN), and evolutionary algorithms (EA). These algorithms are suitable for identifying and preparing data, reading, and finding complex patterns. Previous automation of the design process for joints using digital tools has shown to reduce the time required for modeling and designing. The developed workflow can provide improved efficiency, accuracy, and quality in the design process; however, further development is required to overcome the current limitations.