Earticle

This study specifies the needs of university students as main users of university libraries and suggests the orientation of space improvement of university library depending on the time changes and the needs. Hence, it confirmed related precedent literatures and case analysis in Korea and overseas to find spaces according to the functions of university library and extract the classification system with adding specialized university library space reflecting future values. It performed university students’ attitude survey for importance analysis of main space classification according to functions from above and suggested quantitative space improvement methods.

The need for adopting automation technologies to improve inefficiencies in interior finishing modeling work is increasing during the Building Information Modeling (BIM) design stage. As a result, the use of visual programming languages (VPL) for practical applications is growing. However, undefined or incorrect space designations in BIM models can hinder the development of automated finishing modeling processes, resulting in erroneous corrections and rework. To address this challenge, this study first developed a rule-based automated interior finishing detailing module for floors, walls, and ceilings. In addition, an automated space integrity checking module with 86.69% ACC using the Multi-Layer Perceptron (MLP) model was developed. These modules were integrated into a design automation module for interior finishing, which was then verified for practical utility. The results showed that the automation module reduced the time required for modeling and integrity checking by 97.6% compared to manual work, confirming its utility in assisting BIM model development for interior finishing works.