Performance assessment and improvement of automated structural seismic design of RC systems per EC08 and RPA2024

Abstract

The Architecture-Engineering-Construction industry is witnessing a strong push toward automating the entire construction process. Building Information Modelling (BIM) has been pivotal in facilitating this automation across various stages of construction. However, challenges persist, particularly in interfacing between disciplines during the early design phases. Recently, advancements in Artificial Intelligence have enabled the development of innovative methods for automating and optimizing the structural design. In this context, the present paper proposes an algorithm tailored for reinforced concrete structural systems as defined by EC08 and RPA2024 standards. The study evaluates the robustness and performance of automated structural design for RC systems across diverse architectural configurations. Additionally, the research emphasizes fine-tuning algorithm parameters to enhance the performance of optimized layouts, which are evaluated using response spectrum analysis. The ultimate objective is to develop seamlessly optimized and code-compliant structural solutions.